An intelligent approach for engine fault diagnosis based on Hilbert-Huang transform and support vector machine

Applied Acoustics

Volumn 75, Issue 1, 2014, Pages 1-9

  Wang, Y S ^a   Ma, Q H ^a   Zhu, Q ^a   Liu, X T ^a   Zhao, L H ^a  

^a SHANGHAI UNIVERSITY OF ENGINEERING SCIENCE   (China)

Author keywords

Engine fault diagnosis; Hilbert Huang transform (HHT); Noise feature vector; Support vector machine (SVM); Wavelet packet denoising

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; HILBERT HUANG TRANSFORMS; INTRINSIC MODE FUNCTIONS; NOISE FEATURES; NONSTATIONARY SIGNALS; RECOGNITION CAPACITY; TIME-FREQUENCY CHARACTERISTICS; WAVELET PACKET DE-NOISING;

ENGINES; IMAGE RETRIEVAL; PATTERN RECOGNITION; SIGNAL PROCESSING;

SUPPORT VECTOR MACHINES;

EID: 84881092393     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apacoust.2013.07.001     Document Type: Article

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