Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 1, 2013, Pages 353-359

  Muralidharan, V ^a   Sugumaran, V ^b  

^a SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^b VIT UNIVERSITY   (India)

Author keywords

Continuous wavelet transform (CWT); Fault diagnosis; J48 algorithm; Mono block centrifugal pump

Indexed keywords

ALGORITHMS; CONDITION MONITORING; DECISION TREES; FAILURE ANALYSIS; FEATURE EXTRACTION; FUZZY LOGIC; IMPELLERS; NEURAL NETWORKS; WAVELET TRANSFORMS;

BEARING FAULT; BREAK DOWN; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CONTINUOUS MONITORING; CONTINUOUS WAVELET TRANSFORMS; DECISION-TREE ALGORITHM; ENGINEERING APPLICATIONS; FEATURE SETS; VIBRATION SIGNAL;

CENTRIFUGAL PUMPS;

EID: 84870247793     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.07.007     Document Type: Article

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