• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Tang, X. (Tang, X..) | Xiao, H. (Xiao, H..) | Kou, G. (Kou, G..) | Peng, R. (Peng, R..)

Indexed by:

EI Scopus SCIE

Abstract:

Many production systems undergo a multistate deterioration process before failure, during which inspection and repair are used to detect and remove the defects. Given the limitations of technology and random noise, inspection and repair are always imperfect. This study considered imperfect inspection and repair for a system subject to a three-stage degradation process. The concepts of virtual age and the improvement factor were adopted to characterize the imperfect repair effect. To verify the effectiveness of the proposed model, we applied it to the case of a steel converter plant and used the genetic algorithm to search for the optimal solution. The numerical results indicated that an optimal arrangement of inspection policy could significantly reduce maintenance costs. IEEE

Keyword:

imperfect repair Steel Inspection Mathematical models Maintenance maintenance Costs Maintenance engineering imperfect inspection Density functional theory Delay-time

Author Community:

  • [ 1 ] [Tang X.]School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
  • [ 2 ] [Xiao H.]School of Management Science and Engineering, Southwestern University of Finance and Economics, Chengdu, China
  • [ 3 ] [Kou G.]School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu, China
  • [ 4 ] [Peng R.]School of Economics and Management, Beijing University of Technology, Beijing, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

IEEE Transactions on Reliability

ISSN: 0018-9529

Year: 2024

Issue: 3

Volume: 73

Page: 1-15

5 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:515/10577179
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.