Field Failure Rate Reduction Through ESS with MATLAB Based GUI

Author(s):  
K. Susanna ◽  
Swarna Bai Arniker ◽  
K. Sita Rama Rao ◽  
M. Anka Rao
2018 ◽  
Vol 139 ◽  
pp. 512-520
Author(s):  
Gyungsik Yun ◽  
Hee-Won Jung ◽  
Sungbum Park

2008 ◽  
Vol 25 (06) ◽  
pp. 793-805 ◽  
Author(s):  
CHUN-YUAN CHENG ◽  
MINGCHIH CHEN

From the literature, it is known that preventive maintenance (PM) can reduce the deterioration of system or equipment to a younger level. Researchers usually develop optimal PM policies based on the assumption that the PM can reduce system's age or failure rate. However, the PM actions, such as cleaning, adjustment, alignment, and lubrication work, may not always reduce system's age or failure rate. Instead, it may only reduce the degradation rate of the system to a certain level. In addition, most of the existing optimal PM policies are developed by minimizing the expected cost rate only. Yet, as demonstrated in this paper, the system will have very low reliability at the time of preventive replacement if the reliability limit is not considered. Hence, this paper is to develop an optimal periodic PM model by minimizing the expected cost rate per unit time with the consideration of reliability limit for repairable systems with degradation rate reduction after each PM. The improvement factor method is used to measure the reduction effect of the degradation rate. The algorithm for searching the optimal solutions for this PM model is developed. Examples are also presented with discussions of parameter sensitivity and special cases.


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