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A dynamic condition-based maintenance optimization model for mission-oriented system based on inverse Gaussian degradation process

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Journal of Systems Engineering and Electronics 2022年第2期33卷 474-488页

作者： LI Jingfeng CHEN Yunxiang CAI Zhongyi WANG Zezhou Equipment Management and UAV Engineering College Air Force Engineering UniversityXi’an 710051China

An effective maintenance policy optimization model can reduce maintenance cost and system operation risk. For mission-oriented systems, the degradation process changes dynamically and is monotonous and irreversible. Meanwhile, the risk of early failure is high. Therefore, this paper proposes a dynamic condition-based maintenance(CBM) optimization model for mission-oriented system based on inverse Gaussian(IG) degradation process. Firstly, the IG process with random drift coefficient is used to describe the degradation process and the relevant probability distributions are obtained. Secondly, the dynamic preventive maintenance threshold(DPMT) function is used to control the early failure risk of the mission-oriented system, and the influence of imperfect preventive maintenance(PM)on the degradation amount and degradation rate is analysed comprehensively. Thirdly, according to the mission availability requirement, the probability formulas of different types of renewal policies are obtained, and the CBM optimization model is constructed. Finally, a numerical example is presented to verify the proposed model. The comparison with the fixed PM threshold model and the sensitivity analysis show the effectiveness and application value of the optimization model.

关键词： inverse Gaussian(IG)process imperfect preventive maintenance(PM) mission-oriented system dynamic preventive maintenance threshold(DPMT) maintenance optimization

Reliability-based maintenance optimization under Imperfect Predictive maintenance

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Chinese Journal of Mechanical Engineering 2012年第1期25卷 160-165页

作者： LI Changyou ZHANG Yimin XU Minqiang School of Astronautics Harbin Institute of TechnologyHarbin 150001China School of Mechanical Engineering and Automa tion Northeastern UniversityShenyang 110004China

The reliability-based maintenance optimization model has been focused by the engineers and scholars but it has never been solved effectively to formulate the effect of a maintenance action on the optimization model. In existing works, the system reliability was assumed to be increased to 1 after a predictive maintenance. However, it is very difficult in the most practical systems. Therefore, a new reliability-based maintenance optimization model under imperfect predictive maintenance (PM) is proposed in this paper. In the model, the system reliability is only restored to R i (0maintenance cost, the expected loss due to the downtime and the expected additional cost due to the occurrence of an unexpected failure. They are modeled respectively in this work. Jointing the system expected total time and long-term operation cost in one cycle, the expected long-term operation cost per time could be computed. Then, the proposed maintenance optimization model is formulated where the objective function is to minimize the expected long-term operation cost per time. The results of numerical example show that the proposed model could scheme the optimal maintenance actions for the considered system when the required parameters are given and the optimal solution of the proposed model is sensitive to the parameters of effective age model and insensitive to other parameters. The proposed model effectively solves the problem of evaluating the effect of an imperfect PM on the system reliability and presents

关键词： imperfect predictive maintenance reliability maintenance optimization cost

DEVELOPMENT OF THE RISK-BASED maintenance optimization SYSTEM FOR FOSSIL POWER PLANTS

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Acta Metallurgica Sinica(English Letters) 2004年第4期17卷 381-386页

作者： D.Watanabe Y.Chuman N.Nishimura H.Matsumoto K.Tominaga F.Sakata T.Kuroishi Nagasaki R&D Center Mitsubishi Heavy Industries Ltd. Fukahori-Machi Nagasaki 851-0392 Japan Nagasaki Shipyard & Machinery Works Mitsubishi Heavy Industries Ltd. Akunoura-Machi Nagasaki 850-8610 Japan Power Systems Headquarters Mitsubishi Heavy Industries Ltd. Minato-Ku Tokyo 108-8215 Japan

Cost reduction in electric power generation is a major management concern, and it is therefore necessary to reduce maintenance expenses while upholding plant reliability. A maintenance optimization system 'FREEDOM', which uses RBM technique, DCF (discounted cash flow) and NPV (net present value) calculation functions, has been newly developed. This system probabilistically evaluates the lifetime of boiler and turbine and quantitatively calculates the risk defined as the cumulative probability of failure multiplied by the consequence of failure. Economically optimized timing of inspection and alternative countermeasure such as repair and replacement are then recommended. This system has already been applied to seven plants in Japan, and its effectiveness has been confirmed.

关键词： plant asset management risk based maintenance probabilistic life assessment maintenance optimization

Multi-component system maintenance optimization of a rail transit train based on opportunistic correlations

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Transportation Safety and Environment 2023年第4期5卷 182-191页

作者： Jisheng Dai Rongjun Ding Yong Fu Yong Qin College of Mechanical and Vechicle Engineering Hunan UniversityYuelu DistrictChangshaHunan 410082China Zhuzhou CRRC Times Electric Co. Ltd.Shifeng DistrictZhuzhouHunan 412001China State Key Lab of Rail Traffic Control&Safety Beijing Jiaotong UniversityHaidian DistrictBeijing 100044China

ln order to deal with the problems of insufficient or excessive maintenance in the current maintenance activities of China transit trains,this paper develops a novel multi-component system maintenance optimization approach based on an opportunistic correlation *** on the minimal reliability and failure rate change rule of each train component,the novel proposed maintenance optimization benefits from an improved opportunistic maintenance model with system structure correlation,fault correlation and reliability correlation under imperfect ***,different maintenance modes can be determined by a proposed mainte-nance factor under the different conditions of ***,the reliability threshold of each component is also considered to optimize the maintenance cost by the system reliability and operational availability of the ***,as the mentioned problem belongs to the NP-Hard optimization problems,a modified particle swarm optimization(PSO)with the improvement of inertia weight is proposed to cope with the optimization *** on a specific case under the practical recorded failure data,the analysis shows that the proposed model and approach can effectively cut the maintenance cost.

关键词： multi-component system maintenance optimization rail transit train opportunistic correlation modified particle swarm optimization(PSO)

Availability-based maintenance optimization under unequal inspection period and imperfect repair

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Journal of Southeast University(English Edition) 2018年第3期34卷 303-308页

作者： Liu Yang Su Chun School of Mechanical Engineering Southeast UniversityNanjing 211189China

Taking the multi-component system as research object, a maintenance optimization model based on the unequal inspection period and imperfect repair is established by considering the requirement of expected availability for improving the system＇s availability. An age reduction factor is used to describe the effect of imperfect repair, and the modelling approach for the unequal inspection period is proposed. Unavailable situations are classified into three kinds of independent cases, and the availability is calculated accordingly. Based on the analysis of the relationship between the unavailable cases and the unequal inspection period, an optimization model under imperfect repair is established to optimize the system＇s expected availability. A case study of a wind turbine is provided, and three key components, i.e. gearbox, generator and spindle, are considered. The optimization results of the unequal inspection period model and the equal inspection period model are compared. The results show that the unequal inspection period model based on availability can update the maintenance plan so as to optimize maintenance activities and improve the system＇s availability.

关键词： age reduction inspection period unequal periodmaintenance maintenance optimization availability

Joint optimization of inspection-based and age-based preventive maintenance and spare ordering policies for single-unit systems

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Journal of Systems Engineering and Electronics 2022年第5期33卷 1268-1280页

作者： MA Weining ZHAO Fei LI Xin HU Qiwei SHANG Bingcong Department of Equipment Command and Management Shijiazhuang Campus Army Engineering UniversityShijiazhuang 050003China School of Business Administration Northeastern UniversityShenyang 110057China Northeastern University at Qinhuangdao Qinhuangdao 066099China

This paper presents a joint optimization policy of preventive maintenance(PM)and spare ordering for single-unit systems,which deteriorate subject to the delay-time concept with three deterioration *** activities that combine a non-periodic inspection scheme with age-replacement are *** the system is detected to be in the minor defective stage by an inspection for the first time,place an order and shorten the inspection *** the system has deteriorated to a severe defective stage,it is either repaired imperfectly or replaced by a new ***,an immediate replacement is required once the system fails,the maximal number of imperfect maintenance(IPM)is satisfied or its age reaches to a pre-specified *** consideration of the spare’s availability as needed,there are three types of decisions,i.e.,an immediate or a delayed replacement by a regular ordered spare,an immediate replacement by an expedited ordered spare with a relative higher ***,some mutually independent and exclusive renewal events at the end of a renewal cycle are discussed,and the optimization model of such a joint policy is further developed by minimizing the long-run expected cost rate to find the optimal inspection and age-replacement intervals,and the maximum number of IPM.A Monte-Carlo based integration method is also designed to solve the proposed ***,a numerical example is given to illustrate the proposed joint optimization policy and the performance of the Monte-Carlo based integration method.

关键词： maintenance optimization imperfect maintenance(IPM) three-stage failure process spare ordering

An Interval Algorithm of maintenance Windows Under Uncertain Parameters

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Journal of Shanghai Jiaotong university(Science) 2015年第4期20卷 495-499页

作者：温亮吴甦贾希胜 Department of Industrial Engineering Tsinghua University Department of Management Engineering Mechanical Engineering College

For improving the method of finding maintenance windows under uncertain parameters, an algorithm of maintenance window under uncertainties is presented using interval analysis and sensitivity analysis. Age replacement model is selected to demonstrate how to use this new algorithm. Considered the uncertainties, the optimal maintenance interval of preventive maintenance is not only a single value, but a possible range. The requirement from maintenance engineers is also considered, the maintenance window is made as a symmetrical interval format, like(100 ± 10) day. Comparing with the methods using in the literatures, the new algorithm is without requirement of distribution assumption of uncertain parameter values and computer simulation.

关键词： maintenance optimization uncertainty interval analysis maintenance window

Development and Application of maintenance Template in Pressurized Water Reactor Nuclear Power Plant

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Journal of Donghua University(English Edition) 2015年第1期32卷 162-165页

作者：张圣陈宇曹智鹏莫春铌 Suzhou Nuclear Power Research Institute

Good practices of maintenance optimization in nuclear power field need to be effectively consolidated and inherited,and maintenance optimization can provide technology support to create a long-term reliable and economic operation for nuclear power plants( NPPs) especially for a large number of nuclear powers under construction. Based on the development and application of maintenance template in developed countries,and combining with reliability-centered maintenance( RCM) analysis results and maintenance experience data over the past ten years in domestic NPPs, the development process of maintenance template was presented for Chinese pressurized water reactor( PWR) NPP,and the application of maintenance template to maintenance program development and maintenance optimization combined with cases were demonstrated. A shortcut was provided for improving the efficiency of maintenance optimization in domestic PWR NPP,and help to realize a safe,reliable,and economic operation for domestic NPPs.

关键词： pressurized water reactor(PWR) nuclear power plant maintenance template maintenance program maintenance optimization

Surveying existing rockfall flexible barriers:a combined method for gathering data,managing information and prioritizing maintenance

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Journal of Mountain Science 2024年第12期21卷 4112-4130页

作者： Battista TABONI Gessica UMILI Luca M.ALBERTELLI Iuri D.TAGLIAFERRI Department of Earth Sciences University of TorinoTorino 10125Italy Land&Cogeo Rogno 24060Italy

Rockfall risk is often mitigated and managed by employing defensive structures to catch falling blocks(i.e.,passive works).Due to the widely spread nature of rockfall,the presence of such defensive structures is a common sight,especially in mountain *** most common passive defensive structures are rockfall flexible barriers,due to their significant flexibility and *** protective performance of said structures,though,can be severely reduced by prolonged exposure to weathering agents,vegetation growth,and rockfall impacts:these issues must be addressed by performing *** a view to optimizing the maintenance procedure,the need arises for a tool capable of providing useful information regarding the condition of existing rockfall barriers,in the simplest yet most complete and comprehensive way *** present work provides such a tool,alongside the required instruments for it to function ***,it consists of a survey spreadsheet to be used to collect raw data based on visual inspection of the barriers,coupled with the methodology to score their conditions and to produce a database with which to manage and plan their *** application to a suitable case study in the Central Italian Alps,featuring a number of barriers in different conditions,is then presented,and its results are discussed.

关键词： Rockfall protection Risk management Rockfall flexible barriers maintenance optimization