Normalisation of the amplitude modulation caused by time-varying operating conditions for condition monitoring

•Varying Operating Conditions (VOC) result in amplitude and frequency modulation.•The amplitude modulation impedes effective diagnosis and prognosis.•NAMVOC methods are proposed to attenuate the amplitude modulation under VOC.•This allows diagnosis and prognosis to be performed consistently under VO...

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Bibliographic Details
Published inMeasurement : journal of the International Measurement Confederation Vol. 149; p. 106964
Main Authors Schmidt, Stephan, Heyns, P. Stephan
Format Journal Article
LanguageEnglish
Published London Elsevier Ltd 01.01.2020
Elsevier Science Ltd
Subjects
Amplitude modulation
Amplitude modulation normalisation
Condition monitoring
Damage detection
Frequency modulation
Gearbox diagnostics
Gearboxes
Monitoring systems
Numerical analysis
Operations management
Studies
Time-varying operating conditions
Condition monitoring
Gearbox diagnostics
Amplitude modulation normalisation
Time-varying operating conditions
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Summary:•Varying Operating Conditions (VOC) result in amplitude and frequency modulation.•The amplitude modulation impedes effective diagnosis and prognosis.•NAMVOC methods are proposed to attenuate the amplitude modulation under VOC.•This allows diagnosis and prognosis to be performed consistently under VOC.•The method is investigated on numerical and experimental datasets. Performing condition monitoring under time-varying operating conditions is challenging. The time-varying operating conditions result in amplitude and frequency modulation which mask the presence of incipient damage and make it difficult to distinguish between changes in the condition of the machine and changes in its operating conditions. In this work, the benefits of normalising the amplitude modulation caused by the varying operating conditions for condition monitoring are illustrated and a method is proposed to perform this normalisation. It is shown that the proposed method can be used as a pre-processing methodology for deterministic-random separation, it can be used to detect incipient damage and it can be used to reliably estimate the severity of the damage under time-varying operating conditions as well. The proposed method is investigated on numerical gearbox data and experimental gearbox data, where its benefits for condition monitoring under time-varying operating conditions are shown.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2019.106964