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2017
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Condition monitoring development for propulsion product services

Authors: Hirvonen, Aleksi;

Condition monitoring development for propulsion product services

Abstract

Tutkimuksessa haettiin ratkaisuja yrityksen kunnonvalvontayksikön tarpeisiin ruoripotkurilaitteen laakereista saatavan mittausdatan käsittelyyn ja kuukausiraportoinnin kehittämiseen. Kohdeyrityksenä oli ABB Marine and Ports ja sen kehittämä ruoripotkurijärjestelmä. Tutkimusmetodi perustui triangulaatioon, joka muodostuu kirjallisuuskatsauksesta, asiantuntijoiden Delfoi-haastattelusta ja riskilukuanalyysistä. Käytännön osuus muodostui kohdeyrityksen laivatietokannasta saadun tiedon käsittelystä MATLAB-ohjelmalla. Tulokset jakautuvat kahteen osaan, joista ensimmäinen on laakerin hälytysrajojen suodatusehdot ja toinen automaattisen kuukasiraportin rakenne. Tutkittavia kriittisiä laakerien mittaussignaaleja olivat öljyn vesipitoisuus ja metallipartikkelien määrä öljyssä. Haastattelujen ja kirjallisuudesta löydettyjen lähteiden perusteella molemmille signaaleille luotiin suodatusehdot MATLAB-ohjelmiston avulla. Luotu MATLAB-koodi on pohjana laivakohtaiseen tietokantaan tulevien suodatusehtojen jatkokehitykselle. Kunnonvalvonnan kuukausiraportin rakenne tehtiin mahdollisimman pelkistetyksi, josta näkyvät tarpeelliset mittaussignaalit ja mitattujen signaalien trendien kuvaajat jokaiselle ruoripotkurilaitteelle. Haasteita tutkimuksessa olivat laivoilta saatavassa mittausdatassa esiintyneet eroavaisuudet signaalien yksiköissä ja näytteistys väleissä, sekä anturien epäluotettavat lukemat. Ensimmäinen esille noussut jatkotutkimusaihe on ISO-puhtausluokan aluksilla oleva anturi ja -laboratoriomittauksen eroavaisuuksien tutkiminen. Toinen aihe on käyttöolosuhteiden signaalien riippuvaisuuksien tutkiminen. Kolmas aihe on akselitiivisteiden kunnonvalvonnan liittäminen osaksi laakereiden kunnonvalvontaa. This Master’s Thesis examined the condition monitoring solutions for bearings in propulsion system and the structure of a monthly report generated automatically from vessels sent data. The commissioner of this Thesis was ABB Marine and Ports Condition Monitoring unit. Research Methods of this study consist of three parts; literature review combined to Delphi method interview, Risk Priority Number-analysis and database research with the help of MATLAB. Results achieved are; smart alarm limits for propulsion system bearings and draft of the monthly report’s structure. Studied signals for bearings were water-in-oil and metallic particle concentration in oil. These signals were the most critical to a bearings lifespan. As a result, from interviews and literature research justified smart-alarms and alarm limits were constructed with MATLAB, and carried out to further development. Monthly reports structure was simplified so that it is fast and easy to read while including all the required signals and trend history for each propulsion system. Challenges faced in this study were varying measuring information gained from vessels and corrupted data from bearings sensors. For further research, three different topics aroused; first topic is about signals related to operating conditions and their interaction, second about ISO cleanliness class online measurement versus laboratory measurement and third about condition monitoring development for shaft seals. The goal is to combine shaft seals condition monitoring to already existing bearing condition monitoring by supervising the desired signals and generating smart alarms like in this study.

Country
Finland
Related Organizations
Keywords

reliability, water in oil, condition monitoring, marine, alarm limits, propulsion, Tekniikka / Technology, maintenance, oil cleanliness

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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