Integration of Reliability, Condition Monitoring, and Maintenance of Industrial Equipment

2015 ◽  
pp. 317-344
Keyword(s):  
Condition Monitoring ◽  
Industrial Equipment

scholarly journals Functioning condition monitoring of industrial equipment

2017 ◽  
Vol 174 ◽  
pp. 012068
Author(s):  
N S Ungureanu ◽  
A Petrovan ◽  
M Ungureanu ◽  
M Alexandrescu
Keyword(s):  
Condition Monitoring ◽  
Industrial Equipment

scholarly journals Condition Monitoring of Industrial Equipment Based on Multi-Variables State Estimate Technique

2020 ◽  
Vol 10 (16) ◽  
pp. 5637
Author(s):  
Dongteng Long ◽  
Heng Zheng ◽  
Feng Hong
Keyword(s):  
Power Plant ◽  
Condition Monitoring ◽  
Thermal Power ◽  
Similarity Index ◽  
Industrial Equipment ◽  
Monitoring Method ◽  
State Estimate ◽  
Comparison Results ◽  
Matrix Construction ◽  
Failure Monitoring

Unexpected failures commonly occur in industrial equipment, and condition monitoring could significantly improve the efficiency of maintenance and failure of early alarm. A condition monitoring method using multi-variables state estimate technique (MSET) is proposed, and an improved multi-variables memory matrix construction method is employed, furthermore, an analysis of comprehensive similarity index that considering variable weights is accomplished, and incipient failure alarm thresholds are determined, which lead to effective early detection of failure. The method proposed in this paper is validated using actual data for blower fan in a thermal power plant, and the simulation and comparison results are discussed. The verification results reveal that the proposed method is effective for failure monitoring modeling and achieve a superior accuracy, and incipient failure could be accurately detected.

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