Preventive Maintenance Decision Model of Urban Transportation System Equipment Based on Multi-Control Units

被引：24

作者：

Li, Huan-Yan ^{[1
]}

Xu, Wei ^{[1
]}

Cui, Yanjuan ^{[2
]}

Wang, Zhou ^{[1
]}

Xiao, Meng ^{[1
]}

Sun, Zhi-Xiao ^{[1
]}

机构：

[1] Shenyang Univ Technol, Sch Management, Shenyang 110870, Peoples R China

[2] Dongbei Univ Finance & Econ, Sch Finance, Dalian 116025, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

关键词：

Combined traffic control equipment maintenance; fault prediction; intelligent control unit; PHM theory; preventive maintenance; OPTIMIZATION;

D O I：

10.1109/ACCESS.2019.2961433

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the fault prediction of equipment and the decision of joint equipment maintenance in urban traffic system based on Internet of Things and big data as the background of multiple control units, and proposes a joint equipment monitoring model for multi-equipment systems composed of intelligent control units. The network method predicts the fault of the equipment and gives the equipment fault prediction process. Combining the multi-equipment system attributes of intelligent control unit, aiming at minimizing the total maintenance cost of control unit system, and taking the reliability of the whole system and the availability of equipment as constraints, a preventive maintenance decision model for joint equipment maintenance is established. Finally, the optimal preventive maintenance interval of the entire system is solved.

引用

页码：15851 / 15869

页数：19

共 19 条

[1]

Amelian S., 2014, INT J IND SYST ENG, V20, P483

[2]

[Anonymous], 2004, SIEMENS SINUMERIK 84

[3] A review of multi-component maintenance models with economic dependence [J].

Dekker, R ;

Wildeman, RE ;

Schouten, FAVD .

MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 1997, 45 (03) :411-435

[4] An integrated optimization of quality control chart parameters and preventive maintenance using Markov chain [J].

Farahani, A. ;

Tohidi, H. ;

Shoja, A. .

ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2019, 14 (01) :5-14

[5]

Gang P., 2017, J BEIJING U AERONAUT, V43, P319

[6] Continuous-time predictive-maintenance scheduling for a deteriorating system [J].

Grall, A ;

Dieulle, L ;

Bérenguer, C ;

Roussignol, M .

IEEE TRANSACTIONS ON RELIABILITY, 2002, 51 (02) :141-150

[7]

Hong A., 2009, J HUAZHONG U SCI TEC, V37, P222

[8] An integrated safety prognosis model for complex system based on dynamic Bayesian network and ant colony algorithm [J].

Hu, Jinqiu ;

Zhang, Laibin ;

Ma, Lin ;

Liang, Wei .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :1431-1446

[9] Track circuit fault prediction method based on grey theory and expert system [J].

Hu, Li-Qiang ;

He, Chao-Feng ;

Cai, Zhao-Quan ;

Wen, Long ;

Ren, Teng .

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 58 :37-45

[10]

Janusz M. E., 1991, Engineering Applications of Artificial Intelligence, V4, P329, DOI 10.1016/0952-1976(91)90001-M

← 1 2 →