DocumentCode :
2650320
Title :
AHP based wartime armored equipment chassis failure maintainability probability calculation
Author :
Zhang, Hui-Qi ; Chen, Chun-Liang ; Liu, Jun-Yan ; Bi, Zhan-Dong
Author_Institution :
Dept. of Tech. Support Eng., Acad. of Armored Force Eng., Beijing, China
fYear :
2011
fDate :
17-19 June 2011
Firstpage :
765
Lastpage :
767
Abstract :
On the basis of the peacetime armored equipment chassis failure maintenance workload statistic data, it is gained that the peacetime armored equipment chassis failure maintainability probability function accords with exponential distribution according to the statistics method. With analyzing the maintainability probability parameter influence factors, the wartime and the peacetime mean repair time hierarchy is founded, applying the AHP with the maintainability probability parameter influence factors as the rule layer, and the combination weights are calculated so that the wartime chassis failure maintainability probability function is got. The relative conclusions are given, and a new method to solve the wartime equipment maintainability orderliness without the wartime statistic data is provided.
Keywords :
decision making; exponential distribution; maintenance engineering; probability; production equipment; AHP; chassis failure maintenance; exponential distribution; maintainability probability function; maintainability probability parameter; peacetime armored equipment; wartime armored equipment chassis failure maintainability probability; Exponential distribution; Histograms; Maintenance engineering; Presses; Random variables; Time frequency analysis; AHP; armored equipment chassis failure; calculation method; maintainability probability; wartime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1229-6
Type :
conf
DOI :
10.1109/ICQR2MSE.2011.5976721
Filename :
5976721
Link To Document :
بازگشت