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dc.contributor.authorGouws, Rupert
dc.date.accessioned2020-03-06T08:55:48Z
dc.date.available2020-03-06T08:55:48Z
dc.date.issued2018
dc.identifier.citationGouws, R. 2018. Condition monitoring analysis methods for electrical machines: a review. International journal of engineering & technology, 7(4):6332-6336. [https://doi.org/10.14419/ijet.v7i4.29345]en_US
dc.identifier.issn2227-524X
dc.identifier.urihttp://hdl.handle.net/10394/34300
dc.identifier.urihttps://www.sciencepubco.com/index.php/ijet/article/download/29345/15745
dc.identifier.urihttps://doi.org/10.14419/ijet.v7i4.29057
dc.description.abstractThis paper provides a review on condition monitoring analysis methods for electrical machines. An overview of condition monitoring is provided where online as well as offline monitoring is discussed. A section on vibration monitoring is included, since vibration monitoring is one of the most important online monitoring techniques. As part of vibration monitoring, background vibration, the effect of machine speed and load and variation of a signal at constant operating conditions are discussed. The paper further discussed time and process domain averaging, temperature effects, spurious low frequency ‘ski-slope’ effect and evaluation standards related to vibration monitoring. Various analysis methods exist for the condition monitoring of machines. These analysis methods are divided and discussed in this paper as deterministic and non-deterministic (or statistical analysis approach) methods. The paper ends with sections on condition monitoring measurements and noise filtering during condition monitoringen_US
dc.language.isoenen_US
dc.publisherSPCen_US
dc.subjectCondition monitoringen_US
dc.subjectElectrical machinesen_US
dc.subjectVibration monitoringen_US
dc.subjectNoise filteringen_US
dc.subjectMeasurementsen_US
dc.titleCondition monitoring analysis methods for electrical machines: a reviewen_US
dc.typeArticleen_US
dc.contributor.researchID11760052 - Gouws, Rupert


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