Reliability assessment of the hydraulic system of wind turbines based on load-sharing using survival signature

Yao, Li; Coolen, Frank P. A.; Zhu, Caichao; Tan, Jianjun

doi:10.1016/j.renene.2020.02.017

Cited by 22 publications

(7 citation statements)

References 17 publications

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“…Zhou et al 21 presented a green system reliability evaluation method for promoting the concept of sustainable and cleaner production under life cycle cost concept. Li et al 22 proposed a load shearing reliability model for the hydraulic system of a wind turbine for its sustainable operation under uncertain fuzzy environment.…”

Section: Literature Backgroundmentioning

confidence: 99%

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

Panchal

Chatterjee

Pamučar

et al. 2021

Int J of Intelligent Sys

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This study proposes a novel structured framework for analyzing sustainable operational performance‐related issues of ash handling unit (AHU) under vague/uncertain information and its impact on ecofriendly production. The structured framework is developed using an integrated fuzzy lambda–tau and fuzzy multicriteria decision‐making methods. Reliability parameters are formulated for assessing the failure behavior of AHU using the fuzzy lambda–tau approach. Repair time parameter for the AHU system shows an increasing trend with a 0.6840% increase as the spread increases from ±15% to ±25% and 0.5981% when spread increases from ±25% to ±60%. Furthermore, the availability of the system decreases by 0.0335% with increase in spread from ±15% to ±25% and further decreases to 0.0315% with spread increases from ±25% to ±60%. Under risk analysis, possible failure causes with their fuzzy rating are listed under the failure mode and effect analysis (FMEA) approach. Evaluation based on distance from average solution (EDAS) and combinative distance‐based assessment (CODAS) methods are further applied within the FMEA approach for identifying the most critical failure causes. Improper design (BT2), excessive gas volume (FH3), chocking/blockage (WA1), and scanty lubrication/greasing (SP1) associated with bottom ash handling, the fly ash handling system, wetting unit and ash disposal pipeline, and slurry pump with EDAS outputs (0.1464, 0.1090, 0.0918, 0.000) and CODAS outputs (3.3962, 3.5208, 2.6562, 2.0877) are found responsible for sudden failure of the considered unit. Sensitivity analysis has been done for evaluating the robustness of the proposed framework.

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Section: Literature Backgroundmentioning

confidence: 99%

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

Panchal

Chatterjee

Pamučar

et al. 2021

Int J of Intelligent Sys

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“…Huang et al 42 introduced a new variant of survival signature for reliability analysis of the phased mission systems. Li et al 43 gave a load‐sharing‐based reliability model using survival signature to conduct the reliability assessment of hydraulic systems. Yi et al 44 presented a computational method for obtaining the survival signature of multistate consecutive‐type systems.…”

Section: Notationmentioning

confidence: 99%

Optimal preventive maintenance for reparable networks

Memari

Zarezadeh

Asadi

2021

Appl Stoch Models Bus & Ind

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Nowadays, networks (systems) appear in many areas of science and technology.One of the most important strategies to reduce the likelihood of the failure of an operating network is preventive maintenance (PM). In this article, we propose some optimal PM models for a network consisting of n, n ≥ 1, links (components). The criteria of interest are the "cost function" of renewing the network and "stationary availability" of the network during its mission. In the first part of the article, we consider the case that the network is formed of identical components while in the second part, we deal with the case that the network is built up from several nonidentical groups of components. In both parts, we utilize the PM under some partial information about the status of the network at a time t.The results of the article are developed using the notions of signature and survival signature. To interpret the proposed models, the results are illustrated numerically and graphically for two networks.

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“…Then, they proposed a model for the load-sharing system regarding the exponential survival distribution of ordered failure times. Li et al 29 described the load-sharing system using survival signature to conduct system reliability assessment. As the uncertainty of the failure rates was considered, the Markov-based fuzzy dynamic fault tree method was employed by considering dynamic failure characteristics.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective optimization of job shops with automated guided vehicles: A non-dominated sorting cuckoo search algorithm

Karimi

Niaki

Niknamfar

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part O:

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The reliability of machinery and automated guided vehicle has been one of the most important challenges to enhance production efficiency in several manufacturing systems. Reliability improvement would result in a simultaneous reduction of both production times and transportation costs of the materials, especially in automated guided vehicles. This article aims to conduct a practical multi-objective reliability optimization model for both automated guided vehicles and the machinery involved in a job-shop manufacturing system, where different machines and the storage area through some parallel automated guided vehicles handle materials, parts, and other production needs. While similar machines in each shop are limited to failures based on either an Exponential or a Weibull distribution via a constant rate, the machines in different shops fail based on different failure rates. Meanwhile, as the model does not contain any closed-form equation to measure the machine reliability in the case of Weibull failure, a simulation approach is employed to estimate the shop reliability to be further maximized using the proposed model. Besides, the automated guided vehicles are restricted to failures according to an Exponential distribution. Furthermore, choosing the best locations of the shops is proposed among some potential places. The proposed NP-Hard problem is then solved by designing a novel non-dominated sorting cuckoo search algorithm. Furthermore, a multi-objective teaching-learning-based optimization, as well as a multi-objective invasive weed optimization are designed to validate the results obtained. Ultimately, a novel AHP-TOPSIS method is carried out to rank the algorithms in terms of six performance metrics.

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Reliability assessment of the hydraulic system of wind turbines based on load-sharing using survival signature

Cited by 22 publications

References 17 publications

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

Optimal preventive maintenance for reparable networks

Multi-objective optimization of job shops with automated guided vehicles: A non-dominated sorting cuckoo search algorithm

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