Title :
Study on the remaining usage life prediction of equipment and condition based maintenance decision
Author :
Xia, Liang-hua ; Liu, Hai-tao ; Zhao, Mei ; Wang, Hai-dan
Author_Institution :
Dept. of Manage. Eng., Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
Abstract :
First, the model of equipment remaining usage life prediction based on the grey system theory is established. According that, the remaining usage life prediction system is developed, and the main functional model is described. Then, the Weibull proportional hazards model (PHM) is used to establish the failure rate model based condition data. Besides, we have considered the model parameter estimation when the sample data is general censored data, and the model is validated by means of residual analysis, thus the optimal maintenance decision which satisfies the requirement of security can be determined. Finally, we take a bearing for an example to analyze and validate the practicability and rationality of the model.
Keywords :
condition monitoring; failure analysis; grey systems; machine bearings; maintenance engineering; remaining life assessment; Weibull proportional hazards model; bearings; condition-based maintenance; failure rate model; grey system theory; remaining usage life prediction system; Conference management; Cybernetics; Data analysis; Educational institutions; Engineering management; Hazards; Machine learning; Mechanical engineering; Predictive models; Technology management; Condition based maintenance (CBM); Grey forecasting model; Maintenance decision; Proportional hazards model (PHM); Remaining usage life prediction;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212665
