Active inverter output filtering methods

Frequency converters are widely used in the industry to enable better controllability and efficiency of variable speed AC motor drives. Despite these advantages, certain challenges concerning the inverter and motor interfacing have been present for decades. As insulated gate bipolar transistors entered the market, the inverter output voltage transition rate significantly increased compared with their predecessors. Inverters operate based on pulse width modulation of the output voltage, and the steep voltage edge fed by the inverter produces a motor terminal overvoltage. The overvoltage causes extra stress to the motor insulation, which may lead to a prematuremotor failure. The overvoltage is not generated by the inverter alone, but also by the sum effect of the motor cable length and the impedance mismatch between the cable and the motor. Many solutions have been shown to limit the overvoltage, and the mainstream products focus on passive filters. This doctoral thesis studies an alternative methodology for motor overvoltage reduction. The focus is on minimization of the passive filter dimensions, physical and electrical, or better yet, on operation without any filter. This is achieved by additional inverter control and modulation. The studied methods are implemented on different inverter topologies, varying in nominal voltage and current.For two-level inverters, the studied method is termed active du/dt. It consists of a small output LC filter, which is controlled by an independent modulator. The overvoltage is limited by a reduced voltage transition rate. For multilevel inverters, an overvoltage mitigation method operating without a passive filter, called edge modulation, is implemented. The method uses the capability of the inverter to produce two switching operations in the same direction to cancel the oscillating voltages of opposite phases. For parallel inverters, two methods are studied. They are both intended for two-level inverters, but the first uses individual motor cables from each inverter while the other topology applies output inductors. The overvoltage is reduced by interleaving the switching operations to produce a similar oscillation accumulation as with the edge modulation. The implementation of these methods is discussed in detail, and the necessary modifications to the control system of the inverter are presented. Each method is experimentally verified by operating industrial frequency converters with the modified control. All the methods are found feasible, and they provide sufficient overvoltage protection. The limitations and challenges brought about by the methods are discussed.

Application of capillary electrophoretic methods for determining carbohydrates and aliphatic carboxylic acids formed during wood processing

Knowledge of the behaviour of cellulose, hemicelluloses, and lignin during wood and pulp processing is essential for understanding and controlling the processes. Determination of monosaccharide composition gives information about the structural polysaccharide composition of wood material and helps when determining the quality of fibrous products. In addition, monitoring of the acidic degradation products gives information of the extent of degradation of lignin and polysaccharides. This work describes two capillary electrophoretic methods developed for the analysis of monosaccharides and for the determination of aliphatic carboxylic acids from alkaline oxidation solutions of lignin and wood. Capillary electrophoresis (CE), in its many variants is an alternative separation technique to chromatographic methods. In capillary zone electrophoresis (CZE) the fused silica capillary is filled with an electrolyte solution. An applied voltage generates a field across the capillary. The movement of the ions under electric field is based on the charge and hydrodynamic radius of ions. Carbohydrates contain hydroxyl groups that are ionised only in strongly alkaline conditions. After ionisation, the structures are suitable for electrophoretic analysis and identification through either indirect UV detection or electrochemical detection. The current work presents a new capillary zone electrophoretic method, relying on in-capillary reaction and direct UV detection at the wavelength of 270 nm. The method has been used for the simultaneous separation of neutral carbohydrates, including mono- and disaccharides and sugar alcohols. The in-capillary reaction produces negatively charged and UV-absorbing compounds. The optimised method was applied to real samples. The methodology is fast since no other sample preparation, except dilution, is required. A new method for aliphatic carboxylic acids in highly alkaline process liquids was developed. The goal was to develop a method for the simultaneous analysis of the dicarboxylic acids, hydroxy acids and volatile acids that are oxidation and degradation products of lignin and wood polysaccharides. The CZE method was applied to three process cases. First, the fate of lignin under alkaline oxidation conditions was monitored by determining the level of carboxylic acids from process solutions. In the second application, the degradation of spruce wood using alkaline and catalysed alkaline oxidation were compared by determining carboxylic acids from the process solutions. In addition, the effectiveness of membrane filtration and preparative liquid chromatography in the enrichment of hydroxy acids from black liquor was evaluated, by analysing the effluents with capillary electrophoresis.

On Dynamic Monitoring Methods for Networks-on-Chip

Rapid ongoing evolution of multiprocessors will lead to systems with hundreds of processing cores integrated in a single chip. An emerging challenge is the implementation of reliable and efficient interconnection between these cores as well as other components in the systems. Network-on-Chip is an interconnection approach which is intended to solve the performance bottleneck caused by traditional, poorly scalable communication structures such as buses. However, a large on-chip network involves issues related to congestion problems and system control, for instance. Additionally, faults can cause problems in multiprocessor systems. These faults can be transient faults, permanent manufacturing faults, or they can appear due to aging. To solve the emerging traffic management, controllability issues and to maintain system operation regardless of faults a monitoring system is needed. The monitoring system should be dynamically applicable to various purposes and it should fully cover the system under observation. In a large multiprocessor the distances between components can be relatively long. Therefore, the system should be designed so that the amount of energy-inefficient long-distance communication is minimized. This thesis presents a dynamically clustered distributed monitoring structure. The monitoring is distributed so that no centralized control is required for basic tasks such as traffic management and task mapping. To enable extensive analysis of different Network-on-Chip architectures, an in-house SystemC based simulation environment was implemented. It allows transaction level analysis without time consuming circuit level implementations during early design phases of novel architectures and features. The presented analysis shows that the dynamically clustered monitoring structure can be efficiently utilized for traffic management in faulty and congested Network-on-Chip-based multiprocessor systems. The monitoring structure can be also successfully applied for task mapping purposes. Furthermore, the analysis shows that the presented in-house simulation environment is flexible and practical tool for extensive Network-on-Chip architecture analysis.

Qualitative Characteristics and Quantitative Measures of Solution's Reliability in Discrete Optimization: Traditional Analytical Approaches, Innovative Computational Methods and Applicability

The purpose of this thesis is twofold. The first and major part is devoted to sensitivity analysis of various discrete optimization problems while the second part addresses methods applied for calculating measures of solution stability and solving multicriteria discrete optimization problems. Despite numerous approaches to stability analysis of discrete optimization problems two major directions can be single out: quantitative and qualitative. Qualitative sensitivity analysis is conducted for multicriteria discrete optimization problems with minisum, minimax and minimin partial criteria. The main results obtained here are necessary and sufficient conditions for different stability types of optimal solutions (or a set of optimal solutions) of the considered problems. Within the framework of quantitative direction various measures of solution stability are investigated. A formula for a quantitative characteristic called stability radius is obtained for the generalized equilibrium situation invariant to changes of game parameters in the case of the H¨older metric. Quality of the problem solution can also be described in terms of robustness analysis. In this work the concepts of accuracy and robustness tolerances are presented for a strategic game with a finite number of players where initial coefficients (costs) of linear payoff functions are subject to perturbations. Investigation of stability radius also aims to devise methods for its calculation. A new metaheuristic approach is derived for calculation of stability radius of an optimal solution to the shortest path problem. The main advantage of the developed method is that it can be potentially applicable for calculating stability radii of NP-hard problems. The last chapter of the thesis focuses on deriving innovative methods based on interactive optimization approach for solving multicriteria combinatorial optimization problems. The key idea of the proposed approach is to utilize a parameterized achievement scalarizing function for solution calculation and to direct interactive procedure by changing weighting coefficients of this function. In order to illustrate the introduced ideas a decision making process is simulated for three objective median location problem. The concepts, models, and ideas collected and analyzed in this thesis create a good and relevant grounds for developing more complicated and integrated models of postoptimal analysis and solving the most computationally challenging problems related to it.

Novel Methods for Error Modeling and Parameter Identification of a Redundant Serial-Parallel Hybrid Robot

To obtain the desirable accuracy of a robot, there are two techniques available. The first option would be to make the robot match the nominal mathematic model. In other words, the manufacturing and assembling tolerances of every part would be extremely tight so that all of the various parameters would match the “design” or “nominal” values as closely as possible. This method can satisfy most of the accuracy requirements， but the cost would increase dramatically as the accuracy requirement increases. Alternatively, a more cost-effective solution is to build a manipulator with relaxed manufacturing and assembling tolerances. By modifying the mathematical model in the controller, the actual errors of the robot can be compensated. This is the essence of robot calibration. Simply put, robot calibration is the process of defining an appropriate error model and then identifying the various parameter errors that make the error model match the robot as closely as possible. This work focuses on kinematic calibration of a 10 degree-of-freedom (DOF) redundant serial-parallel hybrid robot. The robot consists of a 4-DOF serial mechanism and a 6-DOF hexapod parallel manipulator. The redundant 4-DOF serial structure is used to enlarge workspace and the 6-DOF hexapod manipulator is used to provide high load capabilities and stiffness for the whole structure. The main objective of the study is to develop a suitable calibration method to improve the accuracy of the redundant serial-parallel hybrid robot. To this end, a Denavit–Hartenberg (DH) hybrid error model and a Product-of-Exponential (POE) error model are developed for error modeling of the proposed robot. Furthermore, two kinds of global optimization methods, i.e. the differential-evolution (DE) algorithm and the Markov Chain Monte Carlo (MCMC) algorithm, are employed to identify the parameter errors of the derived error model. A measurement method based on a 3-2-1 wire-based pose estimation system is proposed and implemented in a Solidworks environment to simulate the real experimental validations. Numerical simulations and Solidworks prototype-model validations are carried out on the hybrid robot to verify the effectiveness, accuracy and robustness of the calibration algorithms.

Suomalaisen rakennusyrityksen projektihallinnan apuvälineistön implementointi Venäjälle

Työn tavoitteena on selvittää, miten suomalainen rakennusyritys saa implementoitua projektihallinnan apuvälineistönsä Venäjälle. Lisäksi työn aikana laaditaan perusrakenne apuvälineistölle. Apuvälineistön avulla varmistetaan yhdenmukainen toiminta yrityksen projekteissa Venäjällä, sekä hallitaan näihin kohdistuvia riskejä. Työn toteutusmenetelmänä on konstruktiivinen tutkimusote, jossa lopputulos pohjautuu aikaisempaan teoriaan ja empiirisiin löydöksiin. Haastattelujen avulla rakennetaan näkemys apuvälineistölle ja apuvälineiden sisällölle asetettavista vaateista. Työssä esitetyt ratkaisut pohjautuvat teoriaan, haastatteluihin ja yrityksen sisäiseen materiaaliin. Rakennusprojektit ovat toteutustavaltaan yhtäläisiä maasta riippumatta, jonka vuoksi Suomessa käytössä oleva apuvälineistön rakenne toimii myös Venäjällä. Yksittäisten apuvälineiden eroavuudet johtuvat pääasiassa lainsäädännön sekä toimintatapojen eroavuudesta. Työn pohjalta havaittiin implementoinnin onnistumisen vaativan kolmen elementin toteutumisen. Nämä ovat toimivat apuvälineet, laadukas johtaminen sekä apuvälineistön käyttöönottosuunnitelman mukainen toiminta. Työn konstruktio kulminoituu käyttöönottosuunnitelmaan, mikä koostuu kolmesta mekanismista. Mekanismeilla huomioidaan apuvälineiden sovittamisen, apuvälineistön käyttöönoton sekä muutosjohtamisen vaateet.

Evaluation of Bubble Formation and Break Up in Suppression Pools by Using Pattern Recognition Methods

During a possible loss of coolant accident in BWRs, a large amount of steam will be released from the reactor pressure vessel to the suppression pool. Steam will be condensed into the suppression pool causing dynamic and structural loads to the pool. The formation and break up of bubbles can be measured by visual observation using a suitable pattern recognition algorithm. The aim of this study was to improve the preliminary pattern recognition algorithm, developed by Vesa Tanskanen in his doctoral dissertation, by using MATLAB. Video material from the PPOOLEX test facility, recorded during thermal stratification and mixing experiments, was used as a reference in the development of the algorithm. The developed algorithm consists of two parts: the pattern recognition of the bubbles and the analysis of recognized bubble images. The bubble recognition works well, but some errors will appear due to the complex structure of the pool. The results of the image analysis were reasonable. The volume and the surface area of the bubbles were not evaluated. Chugging frequencies calculated by using FFT fitted well into the results of oscillation frequencies measured in the experiments. The pattern recognition algorithm works in the conditions it is designed for. If the measurement configuration will be changed, some modifications have to be done. Numerous improvements are proposed for the future 3D equipment.

Kunnossapitopalveluiden arvopohjaisen elinkaarimallin kehittäminen

Tutkimuksen päätavoitteena on luoda yleispätevä elinkaarimalli, jota voidaan hyö-dyntää laitetason kunnossapitoon liittyvissä päätöksentekotilanteissa eri teollisuu-denaloilla. Elinkaarimalliin yhdistettiin arvoajattelu, jonka pohjalta mallin käyttäjät voivat valita ja painottaa omien näkemyksiensä mukaan arvoa luovat elementit sekä nähdä muille verkostojäsenille arvoa lisäävät tekijät. Aiemmissa elinkaarimalleissa on keskitytty pääasiassa yhteen tarkastelunäkökulmaan, joten verkostotason työkalulle on selkeä tarve. Myöskään arvoajattelua ei ole aiemmin yhdistetty elinkaarilaskentaa soveltaviin malleihin. Työn osalta käytettiin konstruktiivista tutkimusotetta. Elinkaarimallia kehitettiin ja testattiin kaivosteollisuuden yritysverkostoon kuuluvien kahden case-tapauksen avulla. Tutkimuksen teoreettinen osa pohjautui työn oleellisempiin osa-alueisiin, kuten kunnossapitoon, arvoelementteihin ja elinkaarilaskentaan. Työn empiirisessä osiossa hyödynnettiin verkostoon kuuluvien yritysedustajien haastatteluita sekä yritysten tietojärjestelmästä saatuja tietoja. Arvoelementtien muodostuksessa käy-tettiin hyväksi myös muiden teollisuusyritysten ajatuksia ja näkökulmia. Työn merkittävin tulos on ensimmäisen version kehittäminen arvopohjaisesta elinkaarimallista. Elinkaarimalli antaa tuloksina jokaisen verkostojäsenen osalta laitteen kunnossapidon kustannukset ja tuotot vuositasolla sekä kumulatiivisesti koko elinkaaren ajalta niin reaali- kuin nykyarvonakin. Mallin tuloksena saadaan myös yhteistyön myötä kasvaneen lisäarvon suuruus ja jakautuminen verkoston toimijoiden välillä heidän valitsemiensa arvoelementtien mukaisesti. Näin ollen mallia voidaan käyttää tulevaisuuden ennustamisen lisäksi menneiden kustannusten ja tuottojen seurantamallina. Kokonaisuudessaan arvopohjaisen elinkaarimallin tuloksia voidaan hyödyntää laitetason kunnossapitoon liittyvissä sopimusneuvotte-luissa niin arvoa luovien elementtien kuin kustannus- ja tuottotekijöidenkin osalta. Kokonaisuudessaan arvoajattelun yhdistäminen ja hyödyntäminen elinkaarilas-kennassa on vielä alkuvaiheessa, joten kyseinen osa-alue onkin varsin järkevä jat-kotutkimuskohde. Avoimen ja tiiviin yritysyhteistyön kautta saadaan arvopohjai-sesta elinkaarimallista jatkokehitettyä erittäin hyödyllinen työkalu yritysverkosto-jen käytettäväksi. Kiristyvässä kilpailussa verkoston kokonaisarvon kasvu ja ja-kautuminen ovat tulevaisuudessa erittäin keskeisiä aihealueita, joten tämäntyylisten verkostotyökalujen hyödyntäminen nostanee ehdottomasti suosiotaan.

Improving Product Information Management in Global Project Based Manufacturing

The transition of project based manufacturing business, even more into global networks, sets up challenges for companies to manage their business in this new operating environment. One way to tackle these challenges is the successful management of product information through an extended product’s lifecycle. Thus, one objective of this research is to find ways how product information management in global project based manufacturing can be improved. Another objective is to find a solution how the target company can improve its product information management in the offer-to-procurement business process. Due to the nature of the topic, the study follows constructive research methodology with qualitative methods. By combining literature related to this topic a framework is created to improve product information management in global project based manufacturing. The improvement process in this framework is based on a systematic approach from the current state towards target state. A general aim for improvements should be the integrated product and project lifecycle information management through Lean approach. This introduced framework is applied to the target company through two case projects. Data for building view of current state and analysis is collected mostly by theme interviews and also utilizing other material from the target company. Used tools help to analyzing was the BPMN and the Trace matrix for business chains. Results of the improvement process are collected in a solution proposal which contain the strategic target state as well as long and short term objectives. The strategic target state is defined as controlled customization. Also during the improvement process are created the Information requirements chart in the offer-to-procurement business process, and the Project related initial information questionnaire to customer.

Ydinprosessikuvaus johtamisen tukena rakennusalan konsernissa

Tämän diplomityön tärkeimpänä tavoitteena on kuvata kohdekonsernin ydinprosessi asiakasrajapinnasta takuutarkastukseen sekä sitä tukevat prosessit riittävällä tarkkuudella. Lisäksi tavoitteena on laatia kuvaamisen pohjalta yksinkertainen työkalu yksittäisten hankkeiden johtamisen sekä sisäisen koulutuksen tarpeisiin. Tavoitteena on työn kautta edistää konsernin strategisten tavoitteiden saavuttamista. Työ jakautuu teoria- ja empiriaosaan. Teoriaosassa luodaan viitekehys työn empiriaosalle. Se pitää sisällään prosessiajattelun ja prosessijohtamisen käsittelyä sekä prosessien kuvaamisen ja niiden suorituskyvyn mittaamisen teoreettista taustaa. Työn empiria- eli käytännön osassa kuvataan konsernin strategian mukainen ydinprosessi ja määritetään siihen porttimallin mukaiset portit sekä niissä tarkastettavat minimivaatimukset. Lisäksi esitellään ydinprosessia tukevia prosesseja ja laaditaan suorituskykymittaristo sekä käsitellään jatkuvaa parantamista konsernissa käytännössä. Käytännön osan lopussa esitellään kuvauksen pohjalta laadittu työkalu sekä sen tuomat mahdollisuudet. Teoriaosa on luonteeltaan kirjallisuustutkimus, joka muodostuu kirjojen ja artikkelien pohjalta. Empiriaosassa on sekä tapaustutkimuksen että konstruktiivisen tutkimuksen piirteitä ja menetelminä siinä on käytetty haastatteluja, palavereita ja havainnointia. Empiriaosassa on hyödynnetty myös konsernin omaa aineistoa. Keskeisimpiä tuloksia ovat ydinprosessin kuvaus sekä sen pohjalta laadittu konsernin tarpeisiin vastaava konkreettinen työkalu. Lisäksi tuloksena voidaan pitää havaittua prosessiajattelun edistymistä konsernissa. Kohdekonsernin ydinprosessi koostuu kuudesta vaiheesta: 1) asiakastarpeiden selvitys/myynti, 2) tarjous- ja sopimusvaihe, 3) suunnittelu, 4) työmaavaihe, 5) ennakkotarkastus- ja luovutusvaihe ja 6) loppuselvitys- ja takuuvaihe. Ydinprosessin vaiheet muodostuvat määriteltyjen porttien kautta ja ne muodostavat konsernin prosessikartan rungon.

Pilvipalvelun identiteetin- ja pääsynhallinta palveluna

Työn tavoite on ollut tutkia ja rakentaa pilvipalvelun identiteetin- ja pääsynhallinta liiketoimintapalveluksi yrityksille ja organisaatioille. Lähtökohtana on ollut valmiiden identiteetinhallintaohjelmistotuotteiden käyttäminen kehitettävän palvelutuotteen osana. Työssä on ollut tarkoitus selvittää, voiko identiteetinhallintaa ja pääsynhallintaa tuottaa ja tarjota pilvipalveluna kannattavasti. Tutkimusote on ollut konstruktiivinen ja triangulaatiossa on käytetty useaa menetelmää, jotta on saatu selvä kuva liiketoiminnan luonteesta ja tarpeista. Menetelmiä ovat olleet kyselytutkimus ja peste-analyysi. Lisäksi on tehty liiketoimintasuunnitelma ja palveluliiketoiminnan kuvaus Orsterwalderin canvas- menetelmällä. Jokainen tutkimusosa on ollut oleellinen määritettäessä palvelutuotteen ominaisuuksia, koska tavoite on ollut saada mahdollisimman luotettava ja helppokäyttöinen tuote nopeasti kasvaville pilvipalvelumarkkinoille. Tutkimuksen tuloksena on määritelty malli palveluliiketoiminnan tarpeisiin sopivasta turvallisesta palvelualustasta, joka skaalautuu hyvin pilvipalveluiden käytön lisääntyessä voimakkaasti. Liiketoimintasuunnitelman laskelmien avulla on löydetty käyttäjämäärien alarajat kannattavaan liiketoimintaan. Lisäksi on huomattu palvelun rakenteen auttavan yrityksiä ja organisaatiota suojaamaan pilvipalveluiden käyttäjätunnukset ja salasanat väärinkäytöksiltä, mikä on tarpeellista ja ajankohtaista kaikille organisaatioille, jotka harkitsevat pilvipalveluiden käyttöä ja haluavat tehdä sen tietoturvallisesti. Tutkimuksen tuloksena on pystytty määrittelemään, onko liiketoiminta kannattavaa vai ei sekä palvelun tarvitsemat liiketoimintaelementit.

Magnetic Resocance Imaging Methods in the Follow-up of Multiple Sclerosis and in Farby Disease

Multiple sclerosis (MS) is a chronic immune-mediated inflammatory disorder of the central nervous system. MS is the most common disabling central nervous system (CNS) disease of young adults in the Western world. In Finland, the prevalence of MS ranges between 1/1000 and 2/1000 in different areas. Fabry disease (FD) is a rare hereditary metabolic disease due to mutation in a single gene coding α-galactosidase A (alpha-gal A) enzyme. It leads to multi-organ pathology, including cerebrovascular disease. Currently there are 44 patients with diagnosed FD in Finland. Magnetic resonance imaging (MRI) is commonly used in the diagnostics and follow-up of these diseases. The disease activity can be demonstrated by occurrence of new or Gadolinium (Gd)-enhancing lesions in routine studies. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced MR sequences which can reveal pathologies in brain regions which appear normal on conventional MR images in several CNS diseases. The main focus in this study was to reveal whether whole brain apparent diffusion coefficient (ADC) analysis can be used to demonstrate MS disease activity. MS patients were investigated before and after delivery and before and after initiation of diseasemodifying treatment (DMT). In FD, DTI was used to reveal possible microstructural alterations at early timepoints when excessive signs of cerebrovascular disease are not yet visible in conventional MR sequences. Our clinical and MRI findings at 1.5T indicated that post-partum activation of the disease is an early and common phenomenon amongst mothers with MS. MRI seems to be a more sensitive method for assessing MS disease activity than the recording of relapses. However, whole brain ADC histogram analysis is of limited value in the follow-up of inflammatory conditions in a pregnancy-related setting because the pregnancy-related physiological effects on ADC overwhelm the alterations in ADC associated with MS pathology in brain tissue areas which appear normal on conventional MRI sequences. DTI reveals signs of microstructural damage in brain white matter of FD patients before excessive white matter lesion load can be observed on conventional MR scans. DTI could offer a valuable tool for monitoring the possible effects of enzyme replacement therapy in FD.

Telan ja nuohoimen kunnossapitopalveluiden kehittämisvaihtoehdot: kannattavuus ja markkinat

The purpose of this thesis was to find possible development options for roll and sootblower maintenance services in an industrial maintenance company. In addi-tion company wanted to know the size of the maintenance market in both of these services and what services it should offer to markets. Research method of this work was case-study and research approach was mainly analytical but it also had some features of constructive approach. This thesis consists of theoretical literature review and empirical case-study. Theoretical part of this thesis included theories about strategic planning of maintenance, service production, customer value, profitability and methods to analyze company’s current environment. Strategic maintenance elements, service concept and aspects of customer value were found to plan and develop maintenance services. The result of the empirical part of this thesis was that problems in roll maintenance were narrowed down to organization of mainte-nance services and in sootblower maintenance services problems were narrowed down to maintenance methods. Based on this scope four development options were formed which of all turned out to be profitable. Market size for roll and maintenance services in Eastern Finland was determined and recommendations of services, which company should offer to these markets, were given.

Analytical methods for analyzing organic peroxides

Työn tarkoituksena oli kehittää analyyttinen erotusmenetelmä eräässä valmistusprosessissa käytettävän hapettavan aineen ja liuottimen välillä syntyvien reaktiotuotteiden tutkimiseen ja analysoimiseen. Lisäksi tarkoituksena oli tutkia prosessiolosuhteiden turvallisuutta. Kirjallisuusosassa käsitellään erilaisia orgaanisia peroksideja, niiden käyttötarkoituksia ja niiden käyttöön liittyviä huomioitavia asioita. Lisäksi tarkastellaan yleisimpiä analyysimenetelmiä, joita on käytetty erilaisten peroksidien analysoinnissa. Näitä analyysimenetelmiä on useimmiten käytetty nestemäisten näytteiden tutkimuksissa. Harvemmin on analysoitu kaasu- ja kiintoainenäytteitä. Kokeellisessa osassa kehitettiin kirjallisuuden perusteella peroksidiyhdisteille identifiointimenetelmä ja tutkittiin prosessin näytteet. Analyysimenetelmiksi valittiin iodometrinen titraus ja HPLC-UV-MS-menetelmä. Lisäksi käytettiin peroksidimittaukseen soveltuvia testiliuskoja. Tutkimus osoitti, että iodometrisen titrauksen ja testiliuskojen perusteella näytteissä oli vähäisiä määriä peroksideja viikon jälkeen peroksidilisäyksestä. HPLC-UV-MS-analyysien perusteella näytteiden analysointia häiritsi selluloosa, jota löytyi jokaisesta näytteestä.

Multidata inverse problems and Bayesian solution methods in astronomy

Statistical analyses of measurements that can be described by statistical models are of essence in astronomy and in scientific inquiry in general. The sensitivity of such analyses, modelling approaches, and the consequent predictions, is sometimes highly dependent on the exact techniques applied, and improvements therein can result in significantly better understanding of the observed system of interest. Particularly, optimising the sensitivity of statistical techniques in detecting the faint signatures of low-mass planets orbiting the nearby stars is, together with improvements in instrumentation, essential in estimating the properties of the population of such planets, and in the race to detect Earth-analogs, i.e. planets that could support liquid water and, perhaps, life on their surfaces. We review the developments in Bayesian statistical techniques applicable to detections planets orbiting nearby stars and astronomical data analysis problems in general. We also discuss these techniques and demonstrate their usefulness by using various examples and detailed descriptions of the respective mathematics involved. We demonstrate the practical aspects of Bayesian statistical techniques by describing several algorithms and numerical techniques, as well as theoretical constructions, in the estimation of model parameters and in hypothesis testing. We also apply these algorithms to Doppler measurements of nearby stars to show how they can be used in practice to obtain as much information from the noisy data as possible. Bayesian statistical techniques are powerful tools in analysing and interpreting noisy data and should be preferred in practice whenever computational limitations are not too restrictive.