Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes

Wang, Jinhe; Zhang, Xiaohong; Zeng, Jianchao; Zhang, Yunzheng

doi:10.1080/00207543.2019.1685706

Cited by 29 publications

(10 citation statements)

References 39 publications

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“…e periodic dynamic imperfect preventive maintenance model of wind turbines was investigated. ey built the model based on the analysis of actual wind farm maintenance data in order to reduce maintenance costs and assure maximum availability of wind turbines [26]. Using the metaheuristic algorithm, the optimization of the two stages of assembly system maintenance planning has been described.…”

Section: Review Of Literaturementioning

confidence: 99%

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Mathematical Problems in Engineering

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Small and medium-sized enterprises (SMEs) in today’s world have numerous issues in ensuring the availability and safety of critical machines and their components in the working environment. As a result, SMEs considered planning and scheduling maintenance tasks to be a significant threat. The goal of this research is to identify the critical subsystem of the automobile spare parts production plant in the southern region of Tamil Nadu, India, and then to prioritize the maintenance activity and set up an architecture for autonomous preventive maintenance (PM) in SMEs that includes an optimal decision support system. The transition state diagram of the individual and simultaneous production system has been developed with the application of the Markov decision model approach. It was used to analyze the present variables of the production systems and forecast the optimal maintenance parameters such as the failure rate and the repair rate, through the production system’s availability analysis. This availability analysis reveals that system B (Piercing) is classified as the most critical because of the abrupt availability variation compared to all other production systems, concerning the corresponding maintenance parameters such as a failure rate of 0.0371, a repair rate of 0.7094, and the availability of the piercing system of 0.5056. Finally, the use of an autonomous PM management system and the most effective maintenance workforce has enhanced productivity and customer satisfaction in SMEs. The predictive maintenance management system has been further investigated to determine the real-time remaining useful life (RUL) of critical systems in the automobile spare parts manufacturing plant in the southern region of Tamil Nadu, India.

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Section: Review Of Literaturementioning

confidence: 99%

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Mathematical Problems in Engineering

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“…e basis of imperfect repair modelling is to reasonably demonstrate the impact of imperfect repair on the failure rate. e virtual age method [38,39] is the most mature and most widely applied method to update the failure rate function in accordance with the imperfect repair effect [40,41].…”

Section: Imperfect Repair Modelmentioning

confidence: 99%

Optimization of Extended Warranty Cost for Multi-Component Products with Failure Interaction

Wang

Dong

Cheng

et al. 2021

Discrete Dynamics in Nature and Society

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In practice, the assumption of failure independence between components is seldom valid, especially for those complex systems with complicated failure mechanism. Users can decide whether to purchase extended warranty (EW) at the end of basic warranty, and there are many factors that influence this decision, such as product reliability and EW price. In order to solve the problem of EW pricing for multi-component systems with failure interaction reasonably, considering the failure interaction characteristics between components of the multi-component systems, under the condition of type II failure interaction, this paper constructed a dependent failure rate model and developed a EW cost model of two-component systems. Thus, after optimizing the preventive maintenance (PM) strategy, this paper obtained the optimal PM interval when EW cost is the lowest, which is a win-win strategy to reduce the EW price for manufacturers and users under the premise of ensuring the manufacturer's profit demand. Finally, the validity of the model was verified by a numerical example and sensitivity analysis for important parameters was presented.

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“…Do et al [8] build a proactive condition-based maintenance model, considering the perfect and imperfect maintenance strategies. Wang et al [9] use the virtual age factor and failure intensity update factor to describe the effect of imperfect maintenance, and build a periodic dynamic imperfect preventive maintenance model applied to the problem of wind turbine maintenance. Mosayebi Omshi et al [5] consider the influence of the efficiency of imperfect maintenance on the optimal maintenance strategy.…”

Section: Introductionmentioning

confidence: 99%

Piecewise deterministic Markov process for condition-based imperfect maintenance models

Wang¹,

Chen²

2022

Preprint

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In this paper, a condition-based imperfect maintenance model based on piecewise deterministic Markov process (PDMP) is constructed. The degradation of the system includes two types: natural degradation and random shocks. The natural degradation is deterministic and can be nonlinear. The damage increment caused by a random shock follows a certain distribution, and its parameters are related to the degradation state. Maintenance methods include corrective maintenance and imperfect maintenance. Imperfect maintenance reduces the degradation degree of the system according to a random proportion. The maintenance action is delayed, and the system will suffer natural degradations and random shocks while waiting for maintenance. At each inspection time, the decision-maker needs to make a choice among planning no maintenance, imperfect maintenance and perfect maintenance, so as to minimize the total discounted cost of the system. The impulse optimal control theory of PDMP is used to determine the optimal maintenance strategy. A numerical study dealing with component coating maintenance problem is presented. Relationship with optimal threshold strategy is discussed. Sensitivity analyses on the influences of discount factor, observation interval and maintenance cost to the discounted cost and optimal actions are presented.

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Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes

Cited by 29 publications

References 39 publications

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Optimization of Extended Warranty Cost for Multi-Component Products with Failure Interaction

Piecewise deterministic Markov process for condition-based imperfect maintenance models

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