Predictive Maintenance Management Using Sensor-Based Degradation Models

@article{Kaiser2009PredictiveMM,
  title={Predictive Maintenance Management Using Sensor-Based Degradation Models},
  author={Kevin A. Kaiser and Nagi Z. Gebraeel},
  journal={IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans},
  year={2009},
  volume={39},
  pages={840-849}
}
  • Kevin A. Kaiser, N. Gebraeel
  • Published 1 July 2009
  • Business
  • IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
This paper presents a sensory-updated degradation-based predictive maintenance policy (herein referred to as the SUDM policy. [] Key Method By capturing the latest degradation state of the component being monitored, the updating process provides a more accurate of the remaining life. With the aid of a stopping rule, maintenance routines are scheduled based on the most recently updated RLD. The performance of the proposed maintenance policy is evaluated using a simulation model of a simple manufacturing cell…

Predictive component availability optimization with degradation correlated maintainability

Driven by practical maintenance experience and the desire for higher component availability, this article presents a predictive maintenance policy for maximizing the availability of a batch of

A predictive maintenance system for hybrid degradation processes

Purpose The purpose of this paper is to propose a predictive maintenance (PdM) system for hybrid degradation processes with continuous degradation and sudden damage to improve maintenance

Statistically Planned and Individually Improved Predictive Maintenance Management for Continuously Monitored Degrading Systems

The current study demonstrates the possibility of partially applying the emerging PdM techniques in the widely used SLD-based PM policy in a (approximately) theoretically effective manner.

A predictive maintenance scheduling framework utilizing residual life prediction information

Given a relatively low noise level of system degradation processes, compared with the classical prognostics framework only consisting of predictive maintenance scheduling models, the proposed framework is similarly effective in failure prevention and more economic in that several premature preventive maintenance acts are saved.

A modularized framework for predictive maintenance scheduling

This paper presents a modularized, easy-to-implement framework for predictive maintenance scheduling. With a modularization treatment of a maintenance scheduling model, a predictive maintenance

Stochastic Filtering Approach for Condition-Based Maintenance Considering Sensor Degradation

The Kalman filter is employed in this paper to progressively estimate the system and the sensor state and it is concluded that disregarding the sensor degradation while it exists will significantly increase the maintenance cost and the negative impact of sensor degradation can be diminished via proper inspection and filtering methods.

A sequential inspection and replacement policy for degradation-based systems

Condition-based maintenance (CBM) has been extensively studied. However, the majority of existing CBM research either consider a periodic inspection schedule or a fixed preventive maintenance

Updated proportional hazards model for equipment residual life prediction

Purpose – Most current condition‐based maintenance (CBM) systems using proportional hazards model (PHM) assume that enough historical data are available. However, in many practical cases, it is

Reinforcement Learning Based Predictive Maintenance for a Machine with Multiple Deteriorating Yield Levels

This paper proposes a predictive maintenance methodology for a machine in manufacturing with deteriorating quality states represented by multiple deteriorating yield levels. Imperfect minor

Evaluating reliability of complex systems for Predictive maintenance

A PdM scheme is developed by employing a Discrete Time Markov Chain (DTMC) for forecasting the health of monitored components and a Bayesian Network for modeling the multi-component system reliability.
...

References

SHOWING 1-10 OF 37 REFERENCES

Model-Based Prognostic Techniques Applied to a Suspension System

An integrated prognostic process based on data collected from model-based simulations under nominal and degraded conditions is developed, which has the potential to be applicable to a variety of systems, ranging from automobiles to aerospace systems.

Sensory-Updated Residual Life Distributions for Components With Exponential Degradation Patterns

  • N. Gebraeel
  • Engineering
    IEEE Transactions on Automation Science and Engineering
  • 2006
A stochastic degradation modeling framework is developed for computing and continuously updating residual life distributions of partially degraded components by combining population-specific degradation characteristics with component-specific sensory data acquired through condition monitoring in order to compute and continuously update remaining life distributions.

Maintenance scheduling in manufacturing systems based on predicted machine degradation

In all cases that were studied, application of the newly proposed maintenance scheduling tool resulted in a noticeable increase in the cost-benefits, which indicates that the use of predictive information about equipment performance through the newly propose maintenance scheduling method could result in significant gains obtained by optimal maintenance scheduling.

A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy

The integrated system consists of a heuristic managerial decision rule for different scenarios of predictive and corrective cost compositions and can be applied in various industries and different kinds of equipment that possess well-defined degradation characteristics.

A survey of maintenance policies of deteriorating systems

Maintenance policies for systems with condition monitoring and obvious failures

This work examines the problem of adaptively scheduling observations and preventive maintenance actions for a multistate, Markovian deterioration system with obvious failures, such that the long-run average-cost per unit time is minimized.

A full history proportional hazards model for preventive maintenance scheduling

This paper is concerned with the development of a realistic preventive maintenance (PM) scheduling model. A heuristic approach for implementing the semi-parametric proportional-hazards model (PHM) to