A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 7708-7717

  Indira, V ^a   Vasanthakumari, R ^b   Sakthivel, N R ^c   Sugumaran, V ^d  

^a SRI MANAKULA VINAYAGAR ENGINEERING COLLEGE   (India)

^b Kasthurba College for Women   (India)

^c AMRITA SCHOOL OF ENGINEERING   (India)

^d SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

Author keywords

Centrifugal pump; Fault diagnosis; Histogram features; Machine learning; Minimum sample size; Number of bins; Power analysis; Vibration signals

Indexed keywords

FAULT DIAGNOSIS; HISTOGRAM FEATURES; MACHINE LEARNING; MINIMUM SAMPLE SIZE; NUMBER OF BINS; POWER ANALYSIS; VIBRATION SIGNALS;

CENTRIFUGAL PUMPS; CLASSIFIERS; CONDITION MONITORING; DECISION TREES; FEATURE EXTRACTION; GRAPHIC METHODS; HYDRAULIC MACHINERY; LEARNING SYSTEMS; PUMPING PLANTS; PUMPS; STATISTICAL METHODS;

VIBRATION ANALYSIS;

EID: 79951575640     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.140     Document Type: Article

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