Title :
A method for condition evaluation based on DSmT
Author_Institution :
Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Condition-based maintenance (CBM) is an optimal maintenance strategy due to improved planning for rehabilitation or replacement based on current evaluation of condition. In this paper, a new method of information fusion-DSmT(Dezert-Smarandache Theory) developed from DST(Dempster-Shafer Theory) and Bayesian theory is introduced to dealing with condition evaluation. With the research and analysis of condition evaluation, the model of condition evaluation based on DSmT is presented in which the generalized basic belief assignment and the rule of information fusion are built. The performance is compared with DSmT and DST for challenging realistic condition evaluation. The result shows that the DSmT enhance the performance of condition evaluation by reducing the time on computing and increasing the quality of fusion result.
Keywords :
Bayes methods; condition monitoring; maintenance engineering; strategic planning; Bayesian theory; DSmT; Dezert-Smarandache theory; condition evaluation; condition-based maintenance; information fusion; maintenance strategy; rehabilitation; replacement; Bayesian methods; Condition monitoring; Diesel engines; Information analysis; Power engineering and energy; Power generation; Power system modeling; Predictive models; Recurrent neural networks; Strategic planning; CBM; Condition Evaluation; DST; DSmT; information fusion;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478066
