Kompressoriyksiköiden mekaaninen kunnonhallinta

Kunnossapidon kuluista suurimman osan aiheuttavat koneiden ennakoimattomat rikkoutumiset ja niiden tuomat tuotannonpysäytykset. Kunnossapidon suunnitelmallisuutta ja vikojen ennustettavuutta pyritään parantamaan erilaisin kunnonvalvonnallisin keinoin. Havaitsemalla alkava vikaantuminen ajoissa ja seuraamalla sen kehittymistä luodaan mahdollisuus korjaustoimenpiteiden ja -ajankohdan hallittuun suunnitteluun ja tätä kautta kustannussäästöihin. Tässä työssä on tutkittu kompressoriyksiköiden (kaasuturbiini ja keskipakokompressori) ja niiden apulaitteiden kunnossapidon menetelmiä, niiden hyödynnettävyyttä sekä mahdollisuuksia kehittää mekaanista kunnonhallintaa. Työssä päädyttiin johtopäätökseen, että käytettävien menetelmien hyödynnettävyydessä on kehitettävää. Kunnonvalvonnan ohjeistuksia tarkennettiin vastaamaan tämän päivän tavoitteita. Todettiin myös, että värähtelynvalvontaan perustuva kunnonvalvontajärjestelmä soveltuu hyvin kompressoriyksiköiden kunnonvalvonnan järjestelmäksi. Värähtelynvalvontaan perustuva kunnonvalvontajärjestelmä luo mahdollisuuden turvallisen käyttöajan ennustamiseen. Kunnonvalvonnan kehittämisen ja käyttövarmuuden parantamisen kannalta jatkotutkimuksen tekeminen kompressoriyksiköiden mekaanistenlaitteiden turvallisen käyttöajan ennustamiseksi on perusteltua.

Monitoring of centrifugal pump operation by a frequency converter

Centrifugal pumps are widely used in industrial and municipal applications, and they are an important end-use application of electric energy. However, in many cases centrifugal pumps operate with a significantly lower energy efficiency than they actually could, which typically has an increasing effect on the pump energy consumption and the resulting energy costs. Typical reasons for this are the incorrect dimensioning of the pumping system components and inefficiency of the applied pump control method. Besides the increase in energy costs, an inefficient operation may increase the risk of a pump failure and thereby the maintenance costs. In the worst case, a pump failure may lead to a process shutdown accruing additional costs. Nowadays, centrifugal pumps are often controlled by adjusting their rotational speed, which affects the resulting flow rate and output pressure of the pumped fluid. Typically, the speed control is realised with a frequency converter that allows the control of the rotational speed of an induction motor. Since a frequency converter can estimate the motor rotational speed and shaft torque without external measurement sensors on the motor shaft, it also allows the development and use of sensorless methods for the estimation of the pump operation. Still today, the monitoring of pump operation is based on additional measurements and visual check-ups, which may not be applicable to determine the energy efficiency of the pump operation. This doctoral thesis concentrates on the methods that allow the use of a frequency converter as a monitoring and analysis device for a centrifugal pump. Firstly, the determination of energy-efficiency- and reliability-based limits for the recommendable operating region of a variable-speed-driven centrifugal pump is discussed with a case study for the laboratory pumping system. Then, three model-based estimation methods for the pump operating location are studied, and their accuracy is determined by laboratory tests. In addition, a novel method to detect the occurrence of cavitation or flow recirculation in a centrifugal pump by a frequency converter is introduced. Its sensitivity compared with known cavitation detection methods is evaluated, and its applicability is verified by laboratory measurements for three different pumps and by using two different frequency converters. The main focus of this thesis is on the radial flow end-suction centrifugal pumps, but the studied methods can also be feasible with mixed and axial flow centrifugal pumps, if allowed by their characteristics.

Hitsauskoneen kunnonvalvontajärjestelmän kehittäminen

Teollisuuden kasvavien laatuvaatimusten johdosta valmistava teollisuus joutuu tiukentamaan laatuvaatimuksiaan täyttääkseen asiakasvaatimukset. Laatujärjestelmät asettavat valmistajille erilaisia vaatimuksia, kuten valmistuksessa käytettävien laitteistojen huoltodokumentaatioiden tuottaminen. Standardi SFS-EN ISO 3834-2 Metallien sulahitsauksen laatuvaatimukset: Kattavat laatuvaatimukset tuo edellä mainitut vaatimukset myös hitsaustuotantoon. Ennakoivaa kunnossapitoa käytetään monilla teollisuuden aloilla, koska tuotannon yllättävät keskeytymiset halutaan ennaltaehkäistä. Käsinhitsaukseen ei ole ollut toistaiseksi työkaluja, jotka mahdollistaisivat ennakoivan kunnossapidon hitsauskoneille. Kemppi Oy kehittää hitsauksen monitorointiratkaisua, jonka yhtenä päämääränä on kunnonvalvontajärjestelmän kehittäminen hitsauslaitteistolle. Järjestelmä ottaa huomioon myös laatujärjestelmien asettamat vaatimukset hitsauskoneiden huoltodokumentaation tuottamisesta. Diplomityön tavoitteena oli tehdä vaatimusmäärittely hitsauskoneiden kunnonvalvontajärjestelmälle. Tässä diplomityössä perehdyttiin kunnossapidon ja vikaantumisen lajeihin, laatujärjestelmiin sekä hitsauslaitteistoon. Tutkimuksessa syvennyttiin hitsauskoneiden kunnossapidon ja vikaantumistapauksien kautta suunnitteilla olevan järjestelmän tarpeisiin. Haastatteluiden avulla kartoitettiin hitsauslaitteiden kunnonvalvontajärjestelmältä vaadittavia piirteitä, järjestelmälle asetettavia vaatimuksia sekä järjestelmän monitorointikohteita. Tutkimuksen pohjalta laadittuun vaatimusmäärittelyyn saatiin muodostettua toiminnalliset vaatimukset, joista muodostetaan tuotekehityksen aikana tuotteen ominaisuudet. Lisäksi vaatimusmäärittelyyn luotiin käyttäjäryhmät, käyttötapaukset sekä alustavat monitorointikohteet. Vaatimusten täyttämiseksi kunnonvalvontajärjestelmään on suunnitteilla myös laitetietokanta, johon sisällytetään hitsauslaitteille suoritettujen huoltojen ja validointien tiedot. Varsinaisen tuotekehitystyön alkaessa nyt laadittua vaatimusmäärittelyä tullaan käyttämään suuntaviivojen näyttäjänä projektissa.

Profiling the Value of Industrial Maintenance Services

Industrial maintenance can be executed internally, acquired from the original equipment manufacturer or outsourced to a service provider, and this concludes in many different kind of business relationships. To maximize the total value in a maintenance business relationship it is important to know what the partner values. The value of maintenance services can be considered to consist of value elements and the perceived total value for the customer and the service provider is the sum of these value elements. The specific objectives of this thesis are to identify the most important value elements for the maintenance service customer and provider and also to recognize where the value elements differ. The study was executed as a statistical analysis using the survey method. The data has been collected by an online survey sent to 345 maintenance service professionals in Finland. In the survey, four different types of value elements were considered: the customer’s high critical and low critical items and the service provider’s core and support service. The most valued elements by the respondents were reliability, safety at work, environmental safety, and operator knowledge. The least valued elements were asset management factors and access to markets. Statistically significant differences in value elements between service types were also found. As a managerial implication a value gap profile is presented. This Master’s Thesis is part of the MaiSeMa (Industrial Maintenance Services in a Renewing Business Network: Identify, Model and Manage Value) research project where network decision models are created to identify, model and manage the value of maintenance services.

Paperitehtaan arkittamon kokonaistehokkuuden nostaminen kunnossapitoa kehittämällä

Tämän diplomityön tavoitteena oli tutkia, miten UPM:n Kymin tehtaan A4- arkittamon kunnossapitotoimintaa pystyttäisiin kehittämään niin, että tuotantolaitoksen kokonaistehokkuutta saataisiin kasvatettua. Työssä on pohdittu keinoja nykyisen, pääasiallisesti korjaavan kunnossapitotoiminnan muuttamiseksi suunnitelmalliseksi eri teorialähtökohtien pohjalta. Keskeinen teoria, johon työn tulokset pohjautuvat, on kokonaisvaltainen tuottava kunnossapito (TPM). Kirjallisuuslähteisiin tukeutuvaa tutkimusta täydensivät useat haastattelut, A4-valmistajille suunnattu laitteiden kuntokartoituskysely ja tuotannon- ja toiminnanohjausjärjestelmistä kerätty mittausaineisto. Työn merkittävimmät tulokset osoittavat, että A4-arkittamon kunnossapitotoimintaa tulisi suunnata nykyistä enemmän käyttökunnossapitolähtöiseksi. Käyttökunnossapito perustuu tuotannon operaattoreiden osallistumiseen kunnossapitotoimiin varsinaisen kunnossapitohenkilöstön ohella. Tuotantooperaattoreilla on työnsä vuoksi parhaat mahdollisuudet käyttämiensä laitteiden kunnonvalvontaan ja näin ollen mahdollisten vikaantumisten ennakointiin jo varhaisessa vaiheessa. Ennakoimalla pystyttäisiin parantamaan kunnossapidon suunnitelmallisuutta, minkä ansiosta laitteiden käytettävyys ja sitä kautta tuotantolaitoksen kokonaistehokkuus olisivat nykyistä korkeampia.

Evidencing and Sharing Value with Decision Making Models in an Industrial Maintenance Network

The objective of this thesis is to concretize the potential benefits that the industrial maintenance case network could achieve through using the value-based life-cycle model and the flexible asset management model. It is also inspected what factors prevent value creation and sharing in the maintenance contract practices of the case network. This thesis is a case study which utilizes modelling. Four scenarios were developed to demonstrate value creation in the future. The data was partly provided by the collaborating company, partly gathered from public financial statement information. The results indicate that value has been created through the past maintenance of the collaborating company’s rod mill and that profitability of the collaborating company has been mostly on satisfactory level during the past few years. Potential value might be created by increasing the share of proactive maintenance of the rod mill in the future. Profitability of the network could be improved in the future through flexible asset management operations. The main obstacle for value creation and sharing seems to be the lack of sufficient trust between the network members.

Kunnossapidon työlupakäytäntöjen parantaminen mobiilijärjestelmän avulla

Viranomaisvaatimuksen mukaan ydinvoimalaitoksen toiminnan perustana tulee olla johtamisjärjestelmä, joka kattaa organisaation rakenteen ja prosessit, henkilöstön vastuut ja valtuudet sekä päätöksentekomenettelyt. Sen tulee myös tukea hyvää turvallisuuskulttuuria ja varmistaa että ydin- ja säteilyturvallisuuteen liittyvät vaatimukset täyttyvät kaikessa toiminnassa. Loviisan voimalaitoksen johtamisjärjestelmä ohjaa voimalaitoksen käyttötoimintaa ja se on kuvattuna voimalaitosohjeistossa joka käsittää voimalaitoksen politiikat, laadunvarmistuskäsikirjat sekä erilaiset ohjeet. Loviisan voimalaitoksen toimintaa seurataan ja arvioidaan säännöllisesti mm. auditoinneilla. Seurannan ja arvioinnin tarkoituksena on tunnistaa johtamisjärjestelmän mahdolliset kehittämisalueet ja varmistaa täyttääkö toiminta sille asetetut vaatimukset. Tämä opinnäyte pohjautuu sisäisessä auditoinnissa havaittuun puutteeseen voimalaitoksen työlupakäytännöissä. Työssä toteutettiin mobiilijärjestelmä, jonka tarkoituksena on parantaa kunnossapitotöihin liittyvien työlupien jälkiseurantaa. Tällaisia työlupaa vaativia töitä ovat mm. tuli- ja säteilytyöt, joiden suorittamiseen liittyy riskejä kuten palo- ja räjähdysvaara tai tarpeeton altistuminen säteilylle. Mobiilijärjestelmä toteutettiin monikansallisena projektina osana laajempaa Loviisan voimalaitoksen laitostietojärjestelmän uusintaprojektia.

Sähkökemiallisten mittausmenetelmien hyödyntäminen optimaalisessa kunnossapidossa

Sähkökemiallisia korroosionopeuden mittausmenetelmiä, yhdistettynä rakennema-teriaalien ohenemaseurantaan, on edelleen harvoin hyödynnetty toimilaitteiden ja rakenteiden elinkaarihallintaan liittyvässä kunnossapidossa. Tässä diplomityössä selvitetään sähkökemiallisten korroosiomittausten käyttöä optimaalisen kunnossapidon apuvälineenä. Työssä selvitetään erityisesti sähkö-kemiallisten mittausjärjestelmien soveltuvuutta voimalaitosten tulistinalueen kor-roosion sekä kylmäpään happo- ja vesikastepisteen mittaamiseen ja kriittisen kas-tepistelämpötilan määrittämiseen. Lisäksi selvitetään mittausten soveltuvuut-ta voimalaitosten polttoainehallinnan optimointiin sekä teknis-taloudellisuuteen perustuvaan prosessin säätämiseen. / Electrochemical corrosion rate measuring methods have been used years in indus-trial maintenance research. Still electrochemical corrosion rate measurement methods are rarely used in the industrial maintenance work related to the life cycle of equipment and structures. This work will study the suitability and use of electrochemical corrosion meas-urements in the optimum maintenance. The work will specifically address the suitability of electrochemical measuring systems for power plants super heater and the cold end corrosion monitoring. Study focus on acid and water dew point monitoring and the determination of the critical dew point temperature. In addi-tion, study the suitability of measurements of power plant fuel management as well as techno-economics based on the process of adjustment.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

A synthetic control chart for monitoring the process mean and variance

Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square statistic that is operationally simpler and more effective than the joint X̄ and R chart in detecting assignable cause(s). This chart will assist in identifying which (mean or variance) changed due to the occurrence of the assignable causes. Design/methodology/approach - The approach used is based on the non-central chi-square statistic and the steady-state average run length (ARL) of the developed chart is evaluated using a Markov chain model. Findings - The proposed chart always detects process disturbances faster than the joint X̄ and R charts. The developed chart can monitor the process instead of looking at two charts separately. Originality/value - The most important advantage of using the proposed chart is that practitioners can monitor the process by looking at only one chart instead of looking at two charts separately. © Emerald Group Publishing Limted.

Development of an instrumentation system embedded on FPGA for real time measurement of mechanical vibrations in rotating machinery

The real-time monitoring of events in an industrial plant is vital, to monitor the actual conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes condition monitoring of the rotating machinery, to anticipate possible conditions of failure. To increase the operational reliability it is thus necessary an efficient tool to analyze and monitor the equipments, in real-time, and enabling the detection of e.g. incipient faults in bearings. To fulfill these requirements some innovations have become frequent, namely the inclusion of vibration sensors or stator current sensors. These innovations enable the development of new design methodologies that take into account the ease of future modifications, upgrades, and replacement of the monitored machine, as well as expansion of the monitoring system. This paper presents the development, implementation and testing of an instrument for vibration monitoring, as a possible solution to embed in industrial environment. The digital control system is based on an FPGA, and its configuration with an open hardware design tool is described. Special focus is given to the area of fault detection in rolling bearings. © 2012 IEEE.

Design of a labVIEW system applied to predictive maintenance

The implementation of vibration analysis techniques based on virtual instrumentation has spread increasingly in the academic and industrial branch, since the use of any software for this type of analysis brings good results at low cost. Among the existing software for programming and creation of virtual instruments, the LabVIEW was chosen for this project. This software has good interface with the method of graphical programming. In this project, it was developed a system of rotating machine condition monitoring. This monitoring system is applied in a test stand, simulating large scale applications, such as in hydroelectric, nuclear and oil exploration companies. It was initially used a test stand, where an instrumentation for data acquisition was inserted, composed of accelerometers and inductive proximity sensors. The data collection system was structured on the basis of an NI 6008 A/D converter of National Instruments. An electronic circuit command was developed through the A/D converter for a remote firing of the test stand. The equipment monitoring is performed through the data collected from the sensors. The vibration signals collected by accelerometers are processed in the time domain and frequency. Also, proximity probes were used for the axis orbit evaluation and an inductive sensor for the rotation and trigger measurement. © (2013) Trans Tech Publications, Switzerland.

B-mode Ultrasound and Doppler Mode for Early-stage Pregnancy Diagnosis in Shi-Tzu Bitches

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Aplicação de um sistema de monitoramento remoto para auxiliar na manutenção preditiva e preventiva de componentes de uma subestação

The increase in energy consumption in the world has caused the electrical systems becoming ever larger and more complex. Because of that becomes necessary to use special tools to efficiently manage the equipment present in these systems. Nowadays a tool very used is the remote monitoring of assets which works collecting signals using sensors processing these signals and make them available to the system user. So the user can use informations that may assist him efficiently in making decisions when doing a maintenance. The system is technically efficient since it improves the measurement process and enables the asset management of a substation by using advanced technology for that and economically viable especially in cases where the user is subject to monetary loss due an interruption of power supply

Space charge and dielectric response measurements to assess insulation aging of low-voltage cables used in nuclear power plants

The current design life of nuclear power plant (NPP) could potentially be extended to 80 years. During this extended plant life, all safety and operationally relevant Instrumentation & Control (I&C) systems are required to meet their designed performance requirements to ensure safe and reliable operation of the NPP, both during normal operation and subsequent to design base events. This in turn requires an adequate and documented qualification and aging management program. It is known that electrical insulation of I&C cables used in safety related circuits can degrade during their life, due to the aging effect of environmental stresses, such as temperature, radiation, vibration, etc., particularly if located in the containment area of the NPP. Thus several condition monitoring techniques are required to assess the state of the insulation. Such techniques can be used to establish a residual lifetime, based on the relationship between condition indicators and ageing stresses, hence, to support a preventive and effective maintenance program. The object of this thesis is to investigate potential electrical aging indicators (diagnostic markers) testing various I&C cable insulations subjected to an accelerated multi-stress (thermal and radiation) aging.