A Literature Review on the Application of Acoustic Emission to Machine Condition Monitoring

annif.suggestionssignal processing|noise|signal analysis|wireless data transmission|auxiliary equipment|condition monitoring|attenuation|signal instruments|emissions|preamplifiers|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p12266|http://www.yso.fi/onto/yso/p1718|http://www.yso.fi/onto/yso/p26805|http://www.yso.fi/onto/yso/p5445|http://www.yso.fi/onto/yso/p25882|http://www.yso.fi/onto/yso/p15423|http://www.yso.fi/onto/yso/p18580|http://www.yso.fi/onto/yso/p30133|http://www.yso.fi/onto/yso/p437|http://www.yso.fi/onto/yso/p27836en
dc.contributor.authorZhao, Kecheng
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.orcidc115621-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2021-06-04T11:32:05Z
dc.date.accessioned2025-06-25T16:48:00Z
dc.date.available2021-06-04T11:32:05Z
dc.date.issued2021-05-21
dc.description.abstractAcoustic emission (AE) is a common physical phenomenon, in which the strain energy is released in the form of elastic wave when a material is deformed or cracked during the stress process. The condition monitoring based on AE is a relatively new method that aims to use noise/vibration anomalies to detect machine failures. However, some challenges lie ahead of its application. This thesis aims to analyze the literature in the field of AE applications to machine condition monitoring. The principles of AE technology, relevant instruments, machine monitoring and AE signal analysis, and practical examples of AE monitoring applications will be presented. More specifically, challenges, solutions and future direction in solving signal noise and attenuation challenges will be discussed. Through the example of rotating machinery, the characteristics of AE will be explained in detail. This thesis lays the foundation for the actual use of AE to monitor and analyze the state of machinery and provides guideline for future data collection and analysis of AE signals.-
dc.format.bitstreamtrue
dc.format.extent83-
dc.identifier.olddbid14539
dc.identifier.oldhandle10024/12876
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/10173
dc.identifier.urnURN:NBN:fi-fe2021052131172-
dc.language.isoeng-
dc.rightsCC BY 4.0-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/12876
dc.subject.degreeprogrammeMaster´s Programme in Smart Energy-
dc.subject.disciplinefi=Sähkö- ja energiatekniikka|en=Electrical Engineering and Energy Technology|-
dc.titleA Literature Review on the Application of Acoustic Emission to Machine Condition Monitoring-
dc.type.ontasotfi=Pro gradu -tutkielma|en=Master's thesis|sv=Pro gradu -avhandling|-

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Literature review