A novel ITD-GSP-based characteristic extraction method for compound faults of rolling bearing

•Intrinsic Time-scale Decomposition and Graph Signal Processing is integrated.•A PR component with minimum Laplacian Energy index is chosen.•The ITD-GSP can precisely provide the characteristic frequency of compound faults.•The ITD-GSP algorithm is insensitive to the installation direction of sensor...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 159; s. 107736
Hlavní autori:	Yu, Mingyue, Pan, Xiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Elsevier Ltd 15.07.2020 Elsevier Science Ltd
Predmet:	Algorithms Bearings Characteristic extraction Compounds faults Correlation analysis Correlation coefficients Fault diagnosis GSP ITD Kurtosis Roller bearings Rolling bearing Sensors Signal processing ITD Compounds faults Characteristic extraction GSP Rolling bearing
ISSN:	0263-2241, 1873-412X
On-line prístup:	Získať plný text
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