Piecewise deterministic Markov process for condition-based imperfect maintenance models
نویسندگان
چکیده
منابع مشابه
Optimization for condition-based maintenance with semi-Markov decision process
The semi-Markov decision model is a powerful tool in analyzing sequential decision processes with random decision epochs. In this paper, we have built the semi-Markov decision process (SMDP) for the maintenance policy optimization of condition-based preventive maintenance problems, and have presented the approach for joint optimization of inspection rate and maintenance policy. Through numerica...
متن کاملPiecewise deterministic Markov processes in biological models
We present a short introduction into the framework of piecewise deterministic Markov processes. We illustrate the abstract mathematical setting with a series of examples related to dispersal of biological systems, cell cycle models, gene expression, physiologically structured populations, as well as neural activity. General results concerning asymptotic properties of stochastic semigroups induc...
متن کاملCondition-Based Maintenance with both Perfect and Imperfect Maintenance Actions
This paper deals with a condition-based maintenance (CBM) model considering both perfect and imperfect maintenance actions for a deteriorating system whose condition is aperiodically monitored according to a remaining useful life (RUL) based-inspection policy. Perfect maintenance actions restore completely the system to the ’as good as new’ state. Their related cost are however often high. Impe...
متن کاملDemographic noise and piecewise deterministic Markov processes.
We explore a class of hybrid (piecewise deterministic) systems characterized by a large number of individuals inhabiting an environment whose state is described by a set of continuous variables. We use analytical and numerical methods from nonequilibrium statistical mechanics to study the influence that intrinsic noise has on the qualitative behavior of the system. We discuss the application of...
متن کاملCondition-based Maintenance Optimization for Multistate Systems with Semi-Markov Decision Process
The deterioration law of the system will usually be assumed to be Markovian, that is, the future process of the system depends only on its state at the present time and not on its past history. This model has been suggested by Klein [1]. There are at least two good reasons for describing deterioration by a Markov model. Firstly, if each component is approximately subject to an exponential failu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Reliability Engineering & System Safety
سال: 2023
ISSN: ['1879-0836', '0951-8320']
DOI: https://doi.org/10.1016/j.ress.2023.109271