Sequential diagnosis for rolling bearing using fuzzy neural network

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Volumn , Issue , 2008, Pages 56-61

  Wang, Huaqing ^a,b   Chen, Peng ^b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b MIE UNIVERSITY   (Japan)

Author keywords

Condition diagnosis; Neural network; Rolling bearing; Rotating machinery; Symptom parameter

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASYMPTOTIC ANALYSIS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); ELECTRIC FAULT CURRENTS; ELECTRONICS INDUSTRY; FUZZY NEURAL NETWORKS; IMAGE CLASSIFICATION; MECHATRONICS; ROLLING; TIME DOMAIN ANALYSIS;

BACK PROPAGATION NEURAL NETWORK; CONDITION DIAGNOSIS; FAULT DIAGNOSIS; FAULT TYPES; INTELLIGENT MECHATRONICS; INTERNATIONAL CONFERENCES; NEURAL NETWORK; OUTER RACE; PLANT MACHINERY; POSSIBILITY DISTRIBUTIONS; ROLLING BEARING; ROLLING BEARINGS; ROTATING MACHINERY; SEQUENTIAL DIAGNOSIS; SYMPTOM PARAMETER; SYMPTOM PARAMETERS; TIME DOMAIN OCT; VIBRATION SIGNALS;

NEURAL NETWORKS;

EID: 52449121971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIM.2008.4601634     Document Type: Conference Paper

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