A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments

Liang, Qingzhu; YANG, Yinghao; Peng, Changhong

doi:10.1016/j.ress.2023.109165

Cited by 13 publications

(1 citation statement)

References 37 publications

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“…Some technical systems of railway transport are characterized by the presence of several internal states that experience degradation processes during operation. Models for such systems are considered both multilevel and with a continuous process of degradation of several elements subject to various influences during operation, and these are effectively described by the semi-Markov process [80][81][82][83].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Gubarevych,

Duer,

Melkonova

et al. 2023

Energies

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Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future.

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Section: Literature Reviewmentioning

confidence: 99%

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Gubarevych,

Duer,

Melkonova

et al. 2023

Energies

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System reliability modeling and analysis for a marine power equipment operating in a discrete‐time dynamic environment

Li,

Zhang,

Cui

et al. 2024

Quality & Reliability Eng

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Exploring on reliability modeling and analysis on a marine equipment in a dynamic environment is a meaningful and challenging issue, because the system commonly carries out the task at sea away from land and suffers a distinct influence of environment. Thus, a reliability model of a multi‐state repairable system operating in dynamic environment is developed by introducing the background of the marine power system in this paper. The novelty of the research lies in the modeling and computing methods are relatively innovative by employing the aggregated stochastic processes, Hadamard production and matrix‐analytic method. First, the working modes of the marine power system under several different kinds of conditions are introduced. Then, the evolution of both the system states and environment are described as discrete‐time Markov chains with multiple and different transition probability matrices. The failure probability and repair probability of components are also distinct in different environments. Furthermore, some performance indexes, especially the index relevant to the environment, are derived, respectively. Finally, the conclusion is obtained by a numerical example of the marine power system, which also illustrates the validity and applicability of the proposed model.

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Review on mechanical system reliability models

Xie,

Zhao

2024

Developments in Reliability Engineering

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A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments

Cited by 13 publications

References 37 publications

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

System reliability modeling and analysis for a marine power equipment operating in a discrete‐time dynamic environment

Review on mechanical system reliability models

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