Optimum opportunistic maintenance schedule incorporating delay time theory with imperfect maintenance

2021 ◽  
Vol 213 ◽  
pp. 107668
Author(s):  
Gehui Liu ◽  
Shaokuan Chen ◽  
Hua Jin ◽  
Shuang Liu
Keyword(s):  
Delay Time ◽  
Imperfect Maintenance ◽  
Opportunistic Maintenance ◽  
Maintenance Schedule ◽  
Time Theory

scholarly journals Maintenance Grouping Optimization for Offshore Wind Turbine Considering Opportunities Based on Rolling Horizon Approach

2018 ◽  
Vol 25 (2) ◽  
pp. 123-131 ◽  
Author(s):  
Yang Lua ◽  
Liping Suna ◽  
Jichuan Kanga ◽  
Xinyue Zhang
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Poor Performance ◽  
Offshore Wind ◽  
Maintenance Cost ◽  
Offshore Wind Turbine ◽  
Rolling Horizon ◽  
Imperfect Maintenance ◽  
Opportunistic Maintenance ◽  
Maintenance Schedule

Abstract In future, offshore wind turbines may be consider a crucial part in the supply of energy. Maintenance processes are directed to attain a safe and reliable operation of offshore machines and wind turbines. In this paper, an opportunistic maintenance strategy for offshore wind turbine is proposed, considering imperfect maintenance and the preventive maintenance durations. Reliability Centric Maintenance serves as a proactive tactic to operations and maintenance by inhibiting the possible reasons of poor performance and controlling failures. Other components can implement the opportunistic preventive maintenances if one component has reached its reliability threshold. According to the rolling horizon approach, it is of great importance to update the maintenance planning for the sake of the short-term information. By figuring out the best combination, the maintenance schedule in the mission time has been finally determined. Failure information are obtained from previous studies to accomplish the calculations. The outcomes indicate that the maintenance cost has been dramatically reduced through the application of opportunistic maintenance.

scholarly journals Wind Power Performance Optimization Considering Redundancy and Opportunistic Maintenance

MENDEL ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 55-62
Author(s):  
Hadi Abdollahzadeh Sangroudi
Keyword(s):  
Performance Optimization ◽  
Life Cycle Cost ◽  
Wind Farm ◽  
Simulation Method ◽  
Health State ◽  
Imperfect Maintenance ◽  
Power Performance ◽  
Opportunistic Maintenance ◽  
Redundancy Level ◽  
Farm Life

In This paper the redundancy and imperfect opportunistic maintenance optimization of a multi-state weighted k-out-of-n system is formulated. The objective is to determine the k-out-of-n system redundancy level and the maintenance strategy which will minimize the wind farm life cycle cost subject to an availability constraint. A new condition based opportunistic maintenance approach is developed. Different component health state thresholds are introduced for imperfect maintenance of failed subsystems and working subsystems and preventive dispatching of maintenance teams. In addition, a simulation method is developed to evaluate the performance measures of the system considering different types of subsystems, maintenance activation delays and durations, limited number of maintenance teams, and discrete inspection of the system. Also, a multi-seed tabu search heuristic algorithm is also proposed to solve the formulated problem. An application to the optimal design of a wind farm is provided to illustrate the proposed approach.

A preventive, opportunistic maintenance strategy for the catenary system of high-speed railways based on reliability

2019 ◽  
Vol 234 (10) ◽  
pp. 1149-1155
Author(s):  
Hongbo Cheng ◽  
Yufan Cao ◽  
Jiaxin Wang ◽  
Wei Zhang ◽  
Han Zeng
Keyword(s):  
High Speed ◽  
Maintenance Cost ◽  
Opportunistic Maintenance ◽  
Maintenance Schedule ◽  
Maintenance Time ◽  
Study Results ◽  
Railway System ◽  
Vital Component ◽  
Catenary System ◽  
Maintenance Schedules

The catenary is a vital component of the electrified railway system. It consists of many parts which are interrelated; the maintenance schedule of the catenary system should consider the influence of the interrelationship. In this study, a preventive, opportunistic maintenance method is proposed to schedule the maintenance process of the catenary system. First, the reliability of the key parts of the catenary is modeled using Weibull distribution. Second, a reliability margin is proposed to expand the maintenance time from point to interval, and the reliability margin is optimized to minimize the maintenance cost. Then, a preventive opportunistic maintenance schedule can be arranged on the basis of the optimal reliability margin. Case study results verify that the proposed preventive opportunistic maintenance method can reduce the number of maintenance schedules and can effectively save the maintenance cost.

A HEURISTIC REPLACEMENT SCHEDULING APPROACH FOR MULTI-UNIT SYSTEMS WITH ECONOMIC DEPENDENCY

1996 ◽  
Vol 03 (01) ◽  
pp. 1-10 ◽  
Author(s):  
JIANSHENG HUANG ◽  
O. GEOFFREY OKOGBAA
Keyword(s):  
Cost Savings ◽  
Problem Formulation ◽  
Repair Process ◽  
Maintenance Policy ◽  
Potential Cost ◽  
Opportunistic Maintenance ◽  
Maintenance Schedule ◽  
Economic Dependency ◽  
Unit Model ◽  
Policy Specification

For a multi-unit system with economic dependency, it is difficult to develop an effective joint replacement schedule due to the stochastic complexity of the system failure-repair process. As a result, restrictions have often been introduced in the maintenance policy specification and decision problem formulation. In some cases, these restrictions have resulted in a reduction in the optimality or effectiveness of the proposed schedule. In this paper, we propose a general opportunistic maintenance policy for multi-unit systems with economic dependency. Two cost boundary conditions are developed in order to evaluate the potential cost savings achieved by implementing the opportunistic maintenance policy. A heuristic approach based on the application of the single-unit model is presented for developing the opportunistic maintenance schedule via an example problem. The effectiveness of the resulting schedule is demonstrated through simulation experiments.

Reliability Assessment of Degradable Systems under Imperfect Maintenance and Utilisation Rate: A Case Study

2016 ◽  
Vol 26 ◽  
pp. 184-194 ◽  
Author(s):  
Hassana Mahfoud ◽  
Abdellah El Barkany ◽  
Ahmed El Biyaali
Keyword(s):  
Delay Time ◽  
Goodness Of Fit ◽  
Failure Process ◽  
Estimation Method ◽  
Parameters Estimation ◽  
Utilization Rate ◽  
Model Parameters ◽  
Proportional Delay ◽  
Imperfect Maintenance

Medical equipment is the biggest capital investment of every healthcare industry and ensuring the reliability and maintenance for critical devices is vital for Patient/user safety and better availability of services. To keep the medical device in a good operational condition, Inspection based maintenance activities have been the most usual means. The purpose of this study is to establish an improved delay time framework to model the two-stage failure process taking into account the influence of the utilization rate on the system’s degradation on the assumption of imperfect maintenance at inspection. This proportional delay time model is seldom considered in DTMs widely used in literature. A complete framework, for Parameters estimation method and the test for goodness of fit is given. To illustrate the model capabilities, a reel case study from the healthcare domain is presented, the model parameters are estimated entirely using the collected maintenance data. Then, the maximum likelihood estimation of the reliability parameters is achieved by Genetic Algorithms.

OPPORTUNISTIC MAINTENANCE OPTIMIZATION FOR WIND TURBINE SYSTEMS CONSIDERING IMPERFECT MAINTENANCE ACTIONS

2011 ◽  
Vol 18 (05) ◽  
pp. 463-481 ◽  
Author(s):  
FANGFANG DING ◽  
ZHIGANG TIAN
Keyword(s):  
Wind Power ◽  
Preventive Maintenance ◽  
Wind Farm ◽  
Power Industry ◽  
Maintenance Cost ◽  
Maintenance Optimization ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Wind Power Industry

Currently corrective maintenance and time-based preventive maintenance strategies are widely used in wind power industry. However, few methods are applied to optimize these strategies. This paper aims to develop opportunistic maintenance approaches for an entire wind farm rather than individual components that most of the existing studies deal with. Furthermore, we consider imperfect actions in the preventive maintenance tasks, which address the issue that preventive maintenance do not always return components to the as-good-as-new status in practice. In this paper we propose three opportunistic maintenance optimization models, where the preventive maintenance is considered as perfect, imperfect and two-level action, respectively. Simulation methods are developed to evaluate the costs of the proposed opportunistic maintenance policies. Numerical examples are provided to demonstrate the advantage of the proposed opportunistic maintenance methods in reducing the maintenance cost. The two-level action method demonstrates to be the most cost-effective in different cost situations, while the imperfect maintenance policy, which is a simpler method, is a close second. The developed methods are expected to bring immediate benefits to wind power industry.

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