Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm

Information Sciences

Volumn 294, Issue , 2015, Pages 423-438

  Kang, Myeongsu ^a,b   Kim, Jaeyoung ^a,b   Kim, Jong Myon ^a  

^a University of Ulsan   (South Korea)

^b NONE   (South Korea)

Author keywords

Acoustic emission; Binary bat algorithm; Dimensionality reduction; Incipient low speed bearing fault diagnosis; Multiclass support vector machines; Wavelet packet transform

Indexed keywords

ACOUSTIC EMISSION TESTING; ACOUSTIC EMISSIONS; DIMENSIONALITY REDUCTION; FAILURE ANALYSIS; FAULT DETECTION; ROLLER BEARINGS; SPEED; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET TRANSFORMS;

ACOUSTIC EMISSION SIGNAL; BAT ALGORITHMS; CLASSIFICATION PERFORMANCE; FAULT DIAGNOSIS SCHEMES; LOW SPEED BEARING; MULTI-CLASS SUPPORT VECTOR MACHINES; REVOLUTIONS PER MINUTES; WAVELET PACKET TRANSFORMS;

CLASSIFICATION (OF INFORMATION);

EID: 84922152970     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.10.014     Document Type: Article

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