A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry

Expert Systems with Applications

Volumn 37, Issue 1, 2010, Pages 627-639

  Azadeh, A ^a   Ebrahimipour, V ^a   Bavar, P ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Centrifugal pump; Diagnosis; Failure mode; Fuzzy rule based; Inference system; Knowledge acquisition

Indexed keywords

CRITICAL FAILURES; DISCHARGE PRESSURES; EXPERT KNOWLEDGE; FAILURE DIAGNOSIS; FUZZY INFERENCE SYSTEMS; HORSE-POWER; HUMAN ERRORS; HUMAN EXPERT; HUMAN OPERATOR; HUMAN REASONING; IF-THEN RULES; INFERENCE SYSTEM; LINGUISTIC RULES; MAINTENANCE COST; MAINTENANCE PERSONNEL; MAINTENANCE PROCESS; MATHEMATICAL EQUATIONS; MEASUREMENT INFORMATION; NET POSITIVE-SUCTION HEAD REQUIRED; OPERATING PARAMETERS; OPERATING PROBLEMS; PETROCHEMICAL INDUSTRY; PRACTICAL EXPERIENCE; PUMP FAILURE; SYSTEM STATE; TIME VARYING;

CENTRIFUGAL PUMPS; EQUATIONS OF STATE; FUZZY INFERENCE; FUZZY RULES; FUZZY SYSTEMS; HYDRAULIC MACHINERY; KNOWLEDGE ACQUISITION; LINGUISTICS; MAINTAINABILITY; MATHEMATICAL OPERATORS; MERGERS AND ACQUISITIONS; NONLINEAR EQUATIONS; PETROCHEMICALS; PUMPING PLANTS; PUMPS; RELIABILITY ANALYSIS; REPAIR; VIBRATIONS (MECHANICAL);

FAILURE ANALYSIS;

EID: 70349473053     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.018     Document Type: Article

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