Sequential fuzzy diagnosis for condition monitoring of rolling bearing based on neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5264 LNCS, Issue PART 2, 2008, Pages 284-293

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

^a MIE UNIVERSITY   (Japan)

^b BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Condition monitoring; Neural network; Possibility theory; Rolling bearing; Sequential fuzzy diagnosis

Indexed keywords

BACKPROPAGATION; CONDITION MONITORING; FAILURE ANALYSIS; FAULT DETECTION; FUZZY INFERENCE; ROLLER BEARINGS; TIME DOMAIN ANALYSIS;

BACK PROPAGATION NEURAL NETWORKS; CENTRIFUGAL BLOWER; DIAGNOSTIC KNOWLEDGE; NON-DIMENSIONAL SYMPTOM PARAMETERS; PLANT MACHINERY; POSSIBILITY THEORY; ROLLING BEARINGS; SEQUENTIAL FUZZY DIAGNOSIS;

NEURAL NETWORKS;

EID: 58849143811     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87734-9_33     Document Type: Conference Paper

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