Linear and Nonlinear Preventive Maintenance Models

  title={Linear and Nonlinear Preventive Maintenance Models},
  author={Shaomin Wu and Ming Jian Zuo},
  journal={IEEE Transactions on Reliability},
  • Shaomin Wu, M. Zuo
  • Published 22 February 2010
  • Business
  • IEEE Transactions on Reliability
Preventive maintenance (PM) is a maintenance program with activities initiated at predetermined intervals, or according to prescribed criteria, and intended to reduce the probability of failure, or the degradation of the functioning of an item. In the literature, a number of PM models have been introduced to depict the effectiveness of PM. Based on these models, approaches to scheduling PM policies have been considerably studied. This paper attempts to review existing PM models, and investigate… 

Figures and Tables from this paper

Preventive Maintenance Models: A Review

A brief review on PM strategies, and existing PM models are reviewed, which can be used to estimate not only the effectiveness of the PM but also some reliability indices such as time to failure.

Preventive Maintenance Models for Technical Systems

The author summarizes the latest developments for group maintenance, opportunistic maintenance, and cannibalization maintenance models, as well as indicating the main research gaps in this modelling area.

Linking component importance to optimisation of preventive maintenance policy

Modeling and Assessment of Aging and Efficiency of Corrective and Planned Preventive Maintenance

The paper presents a general framework for the simultaneous modeling and assessment of aging and maintenance efficiency, for complex repairable systems, and presents an application to real data sets issued from electricity production systems.

Scheduling Preventive Maintenance Considering the Saturation Effect

A case study shows that ignorance of the saturation effect will make inferior maintenance policy that incurs substantial losses and the proposed PM models are shown to be robust in the sense that the parameter estimation errors cannot significantly increase the system operational cost rate.

Determination of the optimal periodic maintenance policy under imperfect repair assumption

In this work, the classes Ar arithmetic Reduction of Age and Arithmetic Reduction of Intensity, proposed by Doyen and Gaudoin (2004) are explored, and likelihood functions for such models are derived, and the parameters are estimated, allowing to compute reliability indicators to forecast the future behavior of the failure process.

A Data-Driven Approach to Selecting Imperfect Maintenance Models

An approach to conducting a goodness-of-flt test is proposed, a Bayesian approach to selecting the most adequate model among several competitive candidates is introduced, and a framework that incorporates the model selection results into the preventive maintenance decision making is developed.



General sequential imperfect preventive maintenance models

This paper presents new sequential imperfect preventive maintenance (PM) models incorporating adjustment/improvement factors in hazard rate and effective age. The models are hybrid in the sense that

Sequential imperfect preventive maintenance policies

Improvement factors in hazard rate and age for a sequential preventative maintenance (PM) policy are introduced and the optimal policies to minimize the mean cost rates are discussed.

Cost Optimization of Periodic Preventive Maintenance

Most preventive maintenance(PM) models assume that the hazard function of a system after each PM occurrence is restored to like new or to some specified level. Thus, there is no provision for system

Preventive maintenance models with random maintenance quality

An Extended Periodic Imperfect Preventive Maintenance Model With Age-Dependent Failure Type

The imperfect PM model proposed in this study incorporates improvement factors vis-a-vis the hazard-rate function, and effective age as well as determining the optimal PM & replacement schedule that minimize the expected cost per unit of time, over an infinite horizon.

Modeling repairable systems with failure rates that depend on age and maintenance

A general repairable system model that includes age and preventive maintenance (PM) dependent failure rates is proposed. This model introduces the concept of system availability as a random variable,

Optimal maintenance policies under different operational schedules

Approximate maintenance policies for situations where the system under study operates iteratively at two successive states: up or down are developed, and the CM in this paper is imperfect repair.

The optimal periodic preventive maintenance policy with degradation rate reduction under reliability limit

  • C. ChengM. ChenR. Guo
  • Engineering
    2007 IEEE International Conference on Industrial Engineering and Engineering Management
  • 2007
Preventive maintenance (PM) can slow the deterioration process of a repairable system and restore the system to a younger age or state. Many researchers focus on studying PM models for the cases of

A Multi-Objective Optimization of Imperfect Preventive Maintenance Policy for Dependent Competing Risk Systems With Hidden Failure

The comparison results show that the optimization solution is consistent between one-objective and multi- objective optimization, and the Pareto frontier for the maintenance optimization problem can provide alternative solutions according to customer preference and resource constraints.