scholarly journals Long Length Contaminated Equipment Maintenance Plan

2000 ◽  
Author(s):  
C.A. ESVELT
Keyword(s):  
Equipment Maintenance ◽  
Maintenance Plan

scholarly journals Optimization Method of Power Equipment Maintenance Plan Decision-Making Based on Deep Reinforcement Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yanhua Yang ◽  
Ligang Yao
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Optimization Model ◽  
Power Grid ◽  
Optimization Method ◽  
Optimal Decision ◽  
Maintenance Cost ◽  
Equipment Maintenance ◽  
Safety Constraints ◽  
Maintenance Plan

The safe and reliable operation of power grid equipment is the basis for ensuring the safe operation of the power system. At present, the traditional periodical maintenance has exposed the abuses such as deficient maintenance and excess maintenance. Based on a multiagent deep reinforcement learning decision-making optimization algorithm, a method for decision-making and optimization of power grid equipment maintenance plans is proposed. In this paper, an optimization model of power grid equipment maintenance plan that takes into account the reliability and economics of power grid operation is constructed with maintenance constraints and power grid safety constraints as its constraints. The deep distributed recurrent Q-networks multiagent deep reinforcement learning is adopted to solve the optimization model. The deep distributed recurrent Q-networks multiagent deep reinforcement learning uses the high-dimensional feature extraction capabilities of deep learning and decision-making capabilities of reinforcement learning to solve the multiobjective decision-making problem of power grid maintenance planning. Through case analysis, the comparative results show that the proposed algorithm has better optimization and decision-making ability, as well as lower maintenance cost. Accordingly, the algorithm can realize the optimal decision of power grid equipment maintenance plan. The expected value of power shortage and maintenance cost obtained by the proposed method is $71.75$ $MW·H$ and $496000$ $yuan$.

The Intelligent Forecasting Method of Mine Equipment Maintenance Plan

2012 ◽  
Vol 605-607 ◽  
pp. 483-486 ◽  
Author(s):  
Wu Xin Huang
Keyword(s):  
Pattern Recognition ◽  
Expert System ◽  
Maintenance Management ◽  
Equipment Maintenance ◽  
Technology Support ◽  
Periodic Operation ◽  
Bp Network ◽  
Forecasting Method ◽  
Maintenance Plan ◽  
Forecasting Theory

Aimed at the actuality of the Mine-Concentrator, Dexing Copper-mine, the paper comprehensively apply such technology as the statistics analysis, the forecasting theory, the pattern recognition, the neutral networks and the expert system etc, to study the intelligent method of equipment maintenance management. By utilizing the information of BP network, on the base of learning, the classify system is established. By equipment practical state, scientific and reasonable dynamic decision is established in order to cut down surplus detection and surplus maintenance, which provides technology support for mine equipment’ long-periodic operation.

Realization of the Railway Electrical Equipment Maintenance Automation System Based on the Workflow and Dynamics

2012 ◽  
Vol 460 ◽  
pp. 184-188
Author(s):  
Gang Li ◽  
Yan Ning Ma ◽  
Xiu Qian Yang ◽  
Zheng Qing Han
Keyword(s):  
Computer Network ◽  
Electrical Equipment ◽  
Automation System ◽  
Equipment Maintenance ◽  
Data Format ◽  
Plan Execution ◽  
Data Standard ◽  
Set Up ◽  
Maintenance Plan

For guaranteeing the safety of railway operating, this paper puts forward a new theory of electrical equipment maintenance. Set up uniform data standard and data format, and maintain the electrical equipment information through the computer network; created a new equipment maintenance plan base on the information, and controlled and monitored the situation and completion of maintenance operation; by dint of the workflow mechanism, achieved the normative executing of complicated maintenance flow, and reduced workload; used SMS alerts for approval, and made it convenient to carry out the maintenance plan execution. This method of electrical equipment maintenance can fulfill the demands of electronic, automated and process-orienting.

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