An optimal structured policy for maintenance of partially observable aircraft engine components

Hopp, Wallace J.; Kuo, Yar Lin

doi:10.1002/(sici)1520-6750(199806)45:4<335::aid-nav1>3.0.co;2-6

Cited by 26 publications

(16 citation statements)

References 13 publications

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“…Hopp and Kuo [46] in their paper have a very detailed coverage on the cumulative shock model application to the maintenance of an aircraft engine compressor. They pointed out that the model usage is motivated by the fact that it facilitates a "good prediction of the times until failure of components", and "requires relatively few estimated parameters and therefore has relatively simple data requirements", and more importantly, "shocks can be defined so as to be easily monitored using modern aircraft sensors".…”

Section: Shock Damage and Wearing Processesmentioning

confidence: 99%

Generalized models of repairable systems: A survey via stochastic processes formalism

Guo¹,

Asher²,

Love³

2014

ORiON

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In this article, we survey the developments in the generalised models of repairable systems reliability during 1990s, particularly the last five years. In this field, we notice the sharp fundamental problem that voluminous complex models were developed but there is an absence of sufficient data of interest for justifying the success in tackling the real engineering problems. Instead of following the myth of using simple models to face the complex reality, we select and review some practical models, particularly the stochastic processes behind them. The Models in three quick growth areas: age models, condition monitoring technique related models, say, proportional intensity and their extensions, and shock and wearing models, including the delay-time models are reviewed. With the belief that only those stochastic processes reflecting the instinct nature of the actual physical processes of repairable systems, without excessive assumptions, may have a better chance to meet the demands of engineers and managers.

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Section: Shock Damage and Wearing Processesmentioning

confidence: 99%

Generalized models of repairable systems: A survey via stochastic processes formalism

Guo¹,

Asher²,

Love³

2014

ORiON

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“…The damages are cumulative and when the accumulated damage on the machine exceeds a random threshold value, the machine fails. This kind of failure process is commonly used in modeling fatigue failures of mechanical part [11,14,16,17]. The damage increments are assumed to be independently and identically distributed (iid) random variables and the stream of shocks is assumed to be a stationary point process.…”

Section: Optimal Preventive Maintenance Plan For a Cumulative Damage mentioning

confidence: 99%

Integrated production scheduling and preventive maintenance planning for a single machine under a cumulative damage failure process

Kuo

Chang

2007

Naval Research Logistics

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This paper finds the optimal integrated production schedule and preventive maintenance plan for a single machine exposed under a cumulative damage process, and investigates how the optimal preventive maintenance plan interacts with the optimal production schedule. The goal is to minimize the total tardiness. The optimal policy possesses the following properties: Under arbitrary maintenance plan when jobs have common processing time, and different due dates, the optimal production schedule is to order the jobs by earliest due date first rule; and when jobs have common due date and different processing times, the optimal production schedule is shortest processing time first. The optimal maintenance plan is of control limit type under any arbitrary production schedule when machine is exposed under a cumulative damage failure process. Numerical studies on the optimal maintenance control limit of the maintenance plan indicate that as the number of jobs to be scheduled increases, the effect of jobs due dates on the optimal maintenance control limit diminishes.

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“…In this way, the number of levels increases progressively according to papers until reaching, in the case of an infinite number of shocks on a fixed horizon, the modelling of continuous deterioration. Continuous deterioration corresponds to a process of progressive and regular degradation comparable to a wear phenomenon or of fatigue 30 . The system is declared failed after crossing a threshold.…”

Section: Maintenancementioning

confidence: 99%

Evaluation of a maintenance strategy by the analysis of the rate of repair

Pérès¹,

Noyes²

2003

Quality & Reliability Eng

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The evaluation of maintenance strategies is a problem which has been widely tackled. However, it remains a topic worthy of consideration since the economic stakes peculiar to this activity are huge. The work presented in this paper deals with this problem under the point of view of data feedback. A statistical analysis is made from the examination of the forms of the failure rate distribution. The laws resulting from the implementation of a given maintenance strategy inform us about the relevance of the choices representative of this strategy. The construction of these laws from a raw time of repair is a global approach which tends to hide the induced phenomenon. A decomposition of the repair process into phases allows us to better identify the influence of the strategy parameters. The analysis of each elementary phase distribution is interesting since it gives information about the performance of the implemented maintenance strategy.

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An optimal structured policy for maintenance of partially observable aircraft engine components

Cited by 26 publications

References 13 publications

Generalized models of repairable systems: A survey via stochastic processes formalism

Generalized models of repairable systems: A survey via stochastic processes formalism

Integrated production scheduling and preventive maintenance planning for a single machine under a cumulative damage failure process

Evaluation of a maintenance strategy by the analysis of the rate of repair

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