A new method to predict incipient fault of rotating machinery

COMADEM 2010 - Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management

Volumn , Issue , 2010, Pages 481-487

  Jiang, Zhi Nong ^a   Wei, Zhong Qing ^a   Bo, Ma ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Condition monitoring; Incipient fault; Predict; Rotating machinery; SCA system

Indexed keywords

ADAPTIVE LEARNING ALGORITHM; DECISION-MAKING STRATEGIES; INCIPIENT FAULTS; KEY PROBLEMS; PREDICT; SCA SYSTEM; VIBRATION SIGNAL;

ADAPTIVE ALGORITHMS; ALARM SYSTEMS; DECISION MAKING; FORECASTING; LEARNING ALGORITHMS; ROTATING MACHINERY; ROTATION; VIBRATION ANALYSIS;

CONDITION MONITORING;

EID: 77956303936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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