Variation in biomass related variables of reed canary grass

Selostus: Ruokohelven biomassan tuotantoon vaikuttavien ominaisuuksien vaihtelu

Estimation of forest canopy cover : a comparison of field measurement techniques

Abstract

Stratified estimation of forest inventory variables using spatially summarized stratifications

Abstract

Vitamin B12 Deficiency in the aged: Laboratory Diagnosis, Prevalence and Clinical Profile

B₁₂-vitamiinin puute iäkkäillä: laboratoriodiagnostiikka, yleisyys ja yhteys sairastavuuteen Tausta: B12-vitamiinin puute on yleistä iäkkäillä ja se tulisi todeta riittävän varhaisessa vaiheessa palautumattomien vaurioiden estämiseksi. On epäselvää pitäisikö diagnostiikka kohdistaa tiettyihin riskiryhmiin vai mahdollisesti seuloa valikoimatonta vanhusväestöä. Myöskään yksimielisyyttä laboratoriotutkimusten valinnasta ei ole. Tavoitteet: Tutkimuksen tarkoituksena oli evaluoida uutta HoloTC RIA menetelmää ja tuottaa viitearvot sille, selvittää B12-vitamiinin puutteen yleisyys, yhteys sairastavuuteen ja mahdolliset riskitekijät suomalaisessa vanhusväestössä, arvioida munuaisfunktion vaikusta B12-vitamiinin puutteen laboratoriotutkimuksiin ja näiden perusteella ehdottaa suomalaiseen terveydenhuoltoon sopivaa laboratoriotutkimusstrategiaa. Aineisto ja menetelmät: Liedon iäkkäät -tutkimuksen vanhusaineisto on edustava otos yhden kunnan yli 65-vuotiaasta väestöstä, yhteensä 1260 henkilöä. Tutkittavat kävivät lääkärintarkastuksessa, ja heistä on käytettävissä runsaasti laboratoriotutkimuksia sekä tiedot sairauksista, ruokavaliosta, lääkkeiden ja vitamiinivalmisteiden käytöstä, dementiaseula ja depressiokysely. Viitearvoaineistoa varten kerättiin näytteet 84 vapaaehtoisesta terveestä aikuisesta ja menetelmäevaluaatiota varten 107 sairaalapotilaasta. Tulokset: HoloTC RIA menetelmän toistettavuus oli hyvä manuaalimenetelmäksi. 95%:n viiteväli holotranskobalamiinille oli 37-171 pmol/l. Kaikilla tutkittavilla, joilla oli muilla laboratoriotutkimuksilla osoitettu todennäköinen B12-vitamiinin puute, myös holotranskobalamiini oli viitealueen alarajaa pienempi. Suurentuneella kystatiini C-pitoisuudella osoitettu munuaisten vajaatoiminta korreloi voimakkaasti homokysteiinin (rs=0.53, p<0.001) ja metyylimalonihapon (rs=0.27, p<0.001) pitoisuuksiin, mutta ei kokonais-B12-vitamiinin (rs=- 0.04, p=0.227) tai holotranskobamiinin (rs=-0.01, p=0.817) pitoisuuksiin. Suomalaisessa vanhusväestössä B12-vitamiinin puutteen prevalenssi oli 12%. Kokonais- B12-vitamiinin pitoisuus oli matala (<150 pmol/l) 6%:lla. Miessukupuoli (OR 1.9, 95% CI 1.2-2.9), ikä ≥75 (OR 2.2, 95% CI 1.4-3.4) ja maitotuotteiden välttäminen (OR 2.3, 95% CI 1.2-4.4) lisäsivät B12-vitamiinin puutteen riskiä, mutta anemia (OR 1.3, 95% CI 0.7-2.3) tai makrosytoosi (OR 1.2, 95% CI 0.6-2.7) eivät. Päätelmät: Diagnosoimaton B12-vitamiinin puute on yleistä iäkkäillä, mutta kliinisesti merkityksellistä spesifistä riskiryhmää ei löydy. Koska anemian ja makrosytoosin puuttuminen ei poissulje B12-vitamiinin puutetta ja munuaisten vajaatoiminta heikentää metabolisten merkkiaineiden käyttökelpoisuutta, kokonais-B12-vitamiinia suositellaan ensisijaiseksi laboratoriotutkimukseksi epäiltäessä B12-vitamiinin puutetta ja tarvittaessa varmentavina tutkimuksina käytetään homokysteiiniä ja holotranskobalamiinia.

Impingement jet cooling of end windings in a high-speed electric machine

The rotational speed of high-speed electric machines is over 15 000 rpm. These machines are compact in size when compared to the power rate. As a consequence, the heat fluxes are at a high level and the adequacy of cooling becomes an important design criterion. In the high-speed machines, the air gap between the stator and rotor is a narrow flow channel. The cooling air is produced with a fan and the flow is then directed to the air gap. The flow in the gap does not provide sufficient cooling for the stator end windings, and therefore additional cooling is required. This study investigates the heat transfer and flow fields around the coil end windings when cooling jets are used. As a result, an innovative and new assembly is introduced for the cooling jets, with the benefits of a reduced amount of hot spots, a lower pressure drop, and hence a lower power need for the cooling fan. The gained information can also be applied to improve the cooling of electric machines through geometry modifications. The objective of the research is to determine the locations of the hot spots and to find out induced pressure losses with different jet alternatives. Several possibilities to arrange the extra cooling are considered. In the suggested approach cooling is provided by using a row of air jets. The air jets have three main tasks: to cool the coils effectively by direct impingement jets, to increase and cool down the flow that enters the coil end space through the air gap, and to ensure the correct distribution of the flow by forming an air curtain with additional jets. One important aim of this study is the arrangement of cooling jets in such manner that hot spots can be avoided to wide extent. This enables higher power density in high-speed motors. This cooling system can also be applied to the ordinary electric machines when efficient cooling is needed. The numerical calculations have been performed using a commercial Computational Fluid Dynamics software. Two geometries have been generated: cylindrical for the studied machine and Cartesian for the experimental model. The main parameters include the positions, arrangements and number of jets, the jet diameters, and the jet velocities. The investigated cases have been tested with two widely used turbulence models and using a computational grid of over 500 000 cells. The experimental tests have been made by using a simplified model for the end winding space with cooling jets. In the experiments, an emphasis has been given to flow visualisation. The computational analysis shows good agreement with the experimental results. Modelling of the cooling jet arrangement enables also a better understanding of the complex system of heat transfer at end winding space.

On the Condition Monitoring of Induction machines

The research of condition monitoring of electric motors has been wide for several decades. The research and development at universities and in industry has provided means for the predictive condition monitoring. Many different devices and systems are developed and are widely used in industry, transportation and in civil engineering. In addition, many methods are developed and reported in scientific arenas in order to improve existing methods for the automatic analysis of faults. The methods, however, are not widely used as a part of condition monitoring systems. The main reasons are, firstly, that many methods are presented in scientific papers but their performance in different conditions is not evaluated, secondly, the methods include parameters that are so case specific that the implementation of a systemusing such methods would be far from straightforward. In this thesis, some of these methods are evaluated theoretically and tested with simulations and with a drive in a laboratory. A new automatic analysis method for the bearing fault detection is introduced. In the first part of this work the generation of the bearing fault originating signal is explained and its influence into the stator current is concerned with qualitative and quantitative estimation. The verification of the feasibility of the stator current measurement as a bearing fault indicatoris experimentally tested with the running 15 kW induction motor. The second part of this work concentrates on the bearing fault analysis using the vibration measurement signal. The performance of the micromachined silicon accelerometer chip in conjunction with the envelope spectrum analysis of the cyclic bearing faultis experimentally tested. Furthermore, different methods for the creation of feature extractors for the bearing fault classification are researched and an automatic fault classifier using multivariate statistical discrimination and fuzzy logic is introduced. It is often important that the on-line condition monitoring system is integrated with the industrial communications infrastructure. Two types of a sensor solutions are tested in the thesis: the first one is a sensor withcalculation capacity for example for the production of the envelope spectra; the other one can collect the measurement data in memory and another device can read the data via field bus. The data communications requirements highly depend onthe type of the sensor solution selected. If the data is already analysed in the sensor the data communications are needed only for the results but in the other case, all measurement data need to be transferred. The complexity of the classification method can be great if the data is analysed at the management level computer, but if the analysis is made in sensor itself, the analyses must be simple due to the restricted calculation and memory capacity.

Fuzzy Principal Components Analysis

Due to the large number of characteristics, there is a need to extract the most relevant characteristicsfrom the input data, so that the amount of information lost in this way is minimal, and the classification realized with the projected data set is relevant with respect to the original data. In order to achieve this feature extraction, different statistical techniques, as well as the principal components analysis (PCA) may be used. This thesis describes an extension of principal components analysis (PCA) allowing the extraction ofa finite number of relevant features from high-dimensional fuzzy data and noisy data. PCA finds linear combinations of the original measurement variables that describe the significant variation in the data. The comparisonof the two proposed methods was produced by using postoperative patient data. Experiment results demonstrate the ability of using the proposed two methods in complex data. Fuzzy PCA was used in the classificationproblem. The classification was applied by using the similarity classifier algorithm where total similarity measures weights are optimized with differential evolution algorithm. This thesis presents the comparison of the classification results based on the obtained data from the fuzzy PCA.

Methods for the analysis of two dimensional measurement data of paper web

This work is devoted to the problem of reconstructing the basis weight structure at paper web with black{box techniques. The data that is analyzed comes from a real paper machine and is collected by an o®-line scanner. The principal mathematical tool used in this work is Autoregressive Moving Average (ARMA) modelling. When coupled with the Discrete Fourier Transform (DFT), it gives a very flexible and interesting tool for analyzing properties of the paper web. Both ARMA and DFT are independently used to represent the given signal in a simplified version of our algorithm, but the final goal is to combine the two together. Ljung-Box Q-statistic lack-of-fit test combined with the Root Mean Squared Error coefficient gives a tool to separate significant signals from noise.

Machine vision measurement system for paper printability assessments

This work had two primary objectives: 1) to produce a working prototype for automated printability assessment and 2) to perform a study of available machine vision and other necessary hardware solutions. The three printability testing methods, IGT Picking,He¬liotest, and mottling, considered in this work have several different requirements and the task was to produce a single automated testing system suitable for all methods. A system was designed and built and its performance was tested using the Heliotest. Working proto¬types are important tools for implementing theoretical methods into practical systems and testing and demonstrating the methodsin real life conditions. The system was found to be sufficient for the Heliotest method. Further testing and possible modifications related to other two test methods were left for future works. A short study of available systems and solutions concerning image acquisition of machine vision was performed. The theoretical part of this study includes lighting systems, optical systems and image acquisition tools, mainly cameras and the underlying physical aspects for each portion.