Function partitioning algorithm of maintenance equipment based on occasion failure rate

被引：0

作者：

Shi, Xian-Ming ^{[1
,2
]}

Chen, Chun-Liang ^{[2
]}

Zhao, Mei ^{[1
]}

Shi, Quan ^{[1
]}

机构：

[1] Department of Equipment Command and Management, Ordinance Engineering College, Shijiazhuang 050003, Hebei, China

[2] Department of Technique Support, Academy of Armored Force Engineering, Beijing 100072, China

来源：

Binggong Xuebao/Acta Armamentarii | 2014年 / 35卷 / 06期

关键词：

Failure rate;

D O I：

10.3969/j.issn.1000-1093.2014.06.024

中图分类号：

学科分类号：

摘要：

Function partitioning of maintenance equipment is studied based on the fact that failure rates are different in different usage conditions. With the consideration of the types, usage occasion and volume of maintenance equipment, an assigning model from maintenance device to maintenance equipment is built for the failure rate in main occasion of maintenance equipment. The maintenance devices can be initially assigned to maintenance equipment by its main usage occasion without consideration of volume limitation, and the assigning correction of maintenance devices is conducted based on the difference between occasion failure rates with the consideration of volume limitation. An assigning algorithm of two maintenance equipment is proposed, and an example is given, which proved the model and solution algorithm are scientific.

引用

页码：915 / 920

共 50 条

[31] Failure function matrix for interconnected equipment failure analysis
Hatsey, Niguss Haregot
Gebrekidan, Amanuel Amare
International Journal of Industrial and Systems Engineering, 2024, 48 (03) : 321 - 337
[32] Algorithm for Planning Maintenance and Repair of Electrical Equipment Using a Risk-Based Approach
A. I. Kovalenko
A. A. Voloshin
E. N. Kolobrodov
A. S. Nikolaev
Power Technology and Engineering, 2025, 58 (5) : 841 - 846
[33] Research on distribution equipment Condition-based maintenance using drosophila optimization algorithm
Wang Hui
Liu Ling-yu
Sun Wo-Ye
Zhao Liang
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 696 - 700
[34] State Maintenance Decision of Secondary Equipment of Distribution Automation Based on Neural Network Algorithm
Zhang, Xiao-qing
Huang, Su-juan
Xie, Lin
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017, : 1 - 5
[35] Simulation of Predictive Maintenance Model of Power Enterprise Equipment based on Deep Learning Algorithm
Zhang, Biao
Wu, Qinghua
2024 3RD INTERNATIONAL CONFERENCE ON ENERGY AND POWER ENGINEERING, CONTROL ENGINEERING, EPECE 2024, 2024, : 1 - 4
[36] Sustaining system coordination in outsourcing the maintenance function of a process having a linear failure rate
Alexander, Andy
Li, Yanjun
Plante, Robert
IISE TRANSACTIONS, 2017, 49 (05) : 544 - 552
[37] Method for predicting failure rate of power transmission equipment based on cloud theory
Yang, Jun
Liu, Pei
Hu, Wenping
Wu, Weinan
Yu, Tengkai
Yang, Jun, 1600, Science Press (40): : 2321 - 2327
[38] Prediction for Substation Equipment Failure Rate Based on Improved Grey Combination Model
Wu G.
Ni X.
Song Z.
Gao B.
Ni, Xuesong (twocargo@126.com), 1600, Science Press (43): : 2249 - 2255
[39] Method for Predicting Failure Rate of Airborne Equipment Based on Optimal Combination Model
Li, WenQiang
Hou, Ning
Sun, XiangKun
MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
[40] Prediction of failure rate of ATP on-board equipment based on chaos theory
Kang R.
Wang J.
Cheng J.
Liu Y.
Tiedao Xuebao, 9 (59-65): : 59 - 65

← 1 2 3 4 5 →