Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes

Dong, Qiu‐Ting; Cui, Lirong; Si, Shubin

doi:10.1016/j.apm.2019.10.044

Cited by 92 publications

(34 citation statements)

References 29 publications

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“…In a VCS, however, the algorithms need to accurately determine that there is only one object at that location. These three issues involve multi-disciplinary fields such as 4D BIM, lens distortion, object detection, vibration control, topology, and stochastic degradation [74,89,[100][101][102]. A wider range of knowledge is needed to break through the current bottleneck.…”

Section: Mapping Between Videos and The Real Construction Sitementioning

confidence: 99%

Literature Review of Digital Twins Applications in Construction Workforce Safety

et al. 2020

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For many decades, safety has been a challenge in the construction sector. Despite extensive efforts to improve overall safety, the sector’s casualty rate still remains high. In practice, dynamic and complex construction processes may lead to on-site risks and safety plans being overlooked, likely leading to a variety of safety accidents. Nowadays, under the guidance of the digital twins (DT) concept, the advent of state-of-the-art sensing and visualisation technologies has offered the possibility to improve construction health and safety in the workplace. To understand the research advances of these technologies, identify their gaps and challenges, and propose solutions to further advance the industry’s safety, we conducted and report a thorough review on the state-of-the-art technological studies, and elaborate upon the key findings in detail. For instance, despite DT being proven to be effective in improving construction workforce safety, the construction industry has yet to fully exploit and streamline these innovations in practice. Overall, this review provides insights into technological clustering, improvement strategies, as well as workforce safety, which can benefit from formulating effective digital technology paradigms.

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Section: Mapping Between Videos and The Real Construction Sitementioning

confidence: 99%

Literature Review of Digital Twins Applications in Construction Workforce Safety

et al. 2020

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“…To solve this type of reliability optimization problem, diverse methods can be employed. Such as the finite Markov chain imbedding approach, [36][37][38][39][40] recurrence method, 41 sequential multistate decision diagram-based approach, 42 simulation method, 43,44 heuristic algorithm, 35 mixed-integral genetic algorithm, 45 etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Joint optimization of reliability design and spares inventory for a use-oriented product-service system based on the electric vehicle charging station

Zhang

Zhao

Song

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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With the shift of business pattern from the traditional manufacturer orientation to customer orientation, the product-service system has become more and more popular. This paper takes an electrical vehicle charging station as the research object and builds a joint optimization model of reliability design and spares inventory with the objective of maximizing net profit under the constraints of availability and customer’s loss rate. Particularly, this model considers not only two types of services, namely fast charging and slow charging but also the transfer of customers between different types of service. This new model is more accordant with the practical circumstances by involving a series of elements of the product-service system simultaneously, such as the customer’s arrival, service, replacement maintenance and spares replenishment process. Then, the probabilistic indices related to reliability are derived by applying the continuous time Markov Process. A balance between the number of charging piles and spares inventory policy can be achieved by solving the joint optimization model. The influence of model parameters on these indices and the superiority of the proposed joint optimization model are analyzed in detail by numerical examples. Finally, some critical conclusions are obtained with the intent of promoting the system reliability and profit. Furthermore, this joint optimization model can be extended to more circumstances and provides guidances to solve the reliability optimization problems regarding a similar system.

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“…The prevalence of copula methods is largely attributed to its capability of separately modeling the dependency structure and univariate marginals; however, copula methods bear one drawback: Direct modeling of degradation increments by using a copula function does not preserve the infinite divisibility property 23 . On the other hand, some studies directly adopt either multivariate general path models 24,25 or multivariate stochastic processes such as Wiener 26‐31 and gamma 32,33 to describe multivariate degradation processes. In addition, Mercier and Pham 34 and Mercier et al 35 introduce the so‐called tri‐variate reduction method to construct a bivariate gamma process.…”

Section: Introductionmentioning

confidence: 99%

Modeling multivariate degradation processes with time‐variant covariates and imperfect maintenance effects

Wang

Gaudoin

Doyen

et al. 2020

Appl Stoch Models Bus & Ind

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This article proposes two types of degradation models that are suitable for describing multivariate degrading systems subject to time‐variant covariates and imperfect maintenance activities. A multivariate Wiener process is constructed as a baseline model, on top of which two types of models are developed to meaningfully characterize the time‐variant covariates and imperfect maintenance effects. The underlying difference between the two models lies in the way of capturing the influences of covariates and maintenance: The first model reflects these impacts in the degradation rates/paths directly, whereas the second one describes the impacts by modifying the time scales governing the degradation processes. In each model, two particular imperfect maintenance models are presented, which differ in the extent of reduction in degradation level or virtual age. The two degradation models are then compared in certain special cases. The proposed multivariate degradation models pertain to complex industrial systems whose health deterioration can be characterized by multiple performance characteristics and can be altered or affected by maintenance activities and operating/environmental conditions.

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Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes

Cited by 92 publications

References 29 publications

Literature Review of Digital Twins Applications in Construction Workforce Safety

Literature Review of Digital Twins Applications in Construction Workforce Safety

Joint optimization of reliability design and spares inventory for a use-oriented product-service system based on the electric vehicle charging station

Modeling multivariate degradation processes with time‐variant covariates and imperfect maintenance effects

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