Reliability assessment of repairable closed-loop process systems under uncertainties

He, Rui; Chen, Guo-Ming; Shen, Xiaoyu; Jiang, Shengyu; Chen, Guoxing

doi:10.1016/j.isatra.2020.05.008

Cited by 7 publications

(6 citation statements)

References 44 publications

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“…The findings of this paper boost system efficiency are useful for prompt maintenance progress, decision-making, preparation and optimization. He et al (2020) introduced an integrated approach to evaluate the reliability of a complex repairable closed-loop networks with uncertainties. Chandrawat and Joshi (2021) used triangular fuzzy numbers along with boundary condition to find the fuzzy solution of two immiscible fluid flow problems.…”

Section: Introductionmentioning

confidence: 99%

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

Dhiman

Kumar

2023

Int. j. math. eng. manag. sci.

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Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It’s become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.

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Section: Introductionmentioning

confidence: 99%

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

Dhiman

Kumar

2023

Int. j. math. eng. manag. sci.

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“…He proposed a closedloop probabilistic reliability evaluation method considering uncertainty for system reliability evaluation. 2 Zhou proposed a system reliability evaluation method based on multi-source information fusion, which integrates design information, component testing information, and trial operation information. 3 Huang has developed an MES reliability and vulnerability assessment methodology for multi-energy systems using the Energy Hub Model to improve the accuracy of reliability assessments.…”

Section: Introductionmentioning

confidence: 99%

Reliability evaluation of a complex system that considers the influence of the fluctuation degree of the performance degradation trajectory

Feng,

Yang,

Chen

et al. 2023

Quality & Reliability Eng

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In this paper, a reliability evaluation method based on the hidden Markov model (HMM) considers the influence of degradation trajectory fluctuation. To address the problem in which the performance degradation trajectory modelling of complex systems is limited by sampling time points, this method constructs an approximate degradation trajectory model based on effective discrete data points through a radial basis function to realize the degradation data expansion of small samples. Then, the average degradation rate is defined, and the fluctuation degree of the degradation trajectory is quantitatively evaluated to obtain the evaluation function of the fluctuation degree of the degradation trajectory. In addition, to determine the relationship between the fluctuation degree of the degradation trajectory and the operating state of the system, the method combines HMM with the evaluation function of the fluctuation degree of the degradation trajectory and obtains the transition probability matrix of different operating states of the system affected by the fluctuation degree of the degradation trajectory. On the basis of the probability matrix of the failure state, the reliability change curve of the system is derived. Finally, the effectiveness of the proposed method is verified via an example of a computer numerical control machine tool.

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“…The rapid developments in industry have elevated the importance of the product reliability 1–3 . Generally, in order to make sure the high reliability of the systems, the modern manufactured products, such as bearings, 4,5 seals, 6,7 and power MOSFETs, 8 have seen a growing demand for high reliability.…”

Section: Introductionmentioning

confidence: 99%

“…The rapid developments in industry have elevated the importance of the product reliability. [1][2][3] Generally, in order to make sure the high reliability of the systems, the modern manufactured products, such as bearings, 4,5 seals, 6,7 and power MOSFETs, 8 have seen a growing demand for high reliability. As a result, in order to evaluate the useful lives of the products, the reliability tests are always performed before them are put into the systems.…”

Section: Introductionmentioning

confidence: 99%

A reliability estimation method based on two‐phase Wiener process with evidential variable using two types of testing data

Shi

Qiao

Wang

et al. 2022

Quality & Reliability Eng

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The evidential variable shows the powerful ability on the parameter description, so we have cooperated it with the linear Wiener process to model linear degradation processes. However, the degradation paths of some products exhibit two-phase patterns over the running time, which cannot be modeled by the linear Wiener process. Hence, it is developed into an associated evidential variable-based two-phase Wiener process. In order to utilize the proposed model, the related evidence obtaining, evidence fusion and performance inference approaches are constructed. A simulation study and an actual case are performed to verify the superiorities of the proposed method. The proposed method provides higher accuracies of the useful life, degradation, and reliability evaluations, due to utilizing the evidential variable and considering the two-phase degradation conditions.

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Reliability assessment of repairable closed-loop process systems under uncertainties

Cited by 7 publications

References 44 publications

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

Reliability evaluation of a complex system that considers the influence of the fluctuation degree of the performance degradation trajectory

A reliability estimation method based on two‐phase Wiener process with evidential variable using two types of testing data

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