Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Mechanical Systems and Signal Processing

Volumn 24, Issue 6, 2010, Pages 1887-1906

  Sakthivel, N R ^a   Sugumaran, V ^b   Nair, Binoy B ^a  

^a AMRITA SCHOOL OF ENGINEERING   (India)

^b SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

Author keywords

C4.5 algorithm; Fault diagnosis; Fuzzy logic; Mono block centrifugal pump; Principle component analysis; Rough set; Statistical features

Indexed keywords

CENTRIFUGAL PUMPS; COMPUTER CIRCUITS; CONDITION MONITORING; DECISION TREES; DEEP NEURAL NETWORKS; FAILURE ANALYSIS; FAULT DETECTION; FUZZY NEURAL NETWORKS; FUZZY SETS; FUZZY SYSTEMS; HYBRID SYSTEMS; LEARNING SYSTEMS; MONITORING; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; PUMPS; ROUGH SET THEORY; TREES (MATHEMATICS); VIBRATION ANALYSIS;

C4.5 ALGORITHM; CLASSIFICATION ACCURACY; CONTINUOUS MONITORING; FUZZY CLASSIFIERS; MACHINE LEARNING APPROACHES; NEURAL NETWORKS , FUZZY LOGIC; PRINCIPLE COMPONENT ANALYSIS; STATISTICAL FEATURES;

FUZZY LOGIC;

EID: 79954654838     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2010.01.008     Document Type: Article

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