Reliability assessment of wind turbine generators by fuzzy universal generating function

Huang, Tudi; Xiahou, Tangfan; Li, Yanfeng; Qian, Huaming; Liu, Yu; Huang, Hong‐Zhong

doi:10.17531/ein.2021.2.10

Cited by 16 publications

(11 citation statements)

References 33 publications

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“…using Wiebe function. What is more important, it is significant due to reliability assessment of various technical object, especially complex machines [21]. However, the main issue is to collect an appropriate amount of homogeneous data.…”

Section: Statistical Parameter Control Methods (Control Chart)mentioning

confidence: 99%

“…Upon inserting the results for each element of the investigated sample into the control chart, an arithmetic average X of the results in the sample must be calculated (the sum of the results divided by the sample count/number of samples). The next step is the calculation of the range (the difference between the highest and the lowest value in the sample) [21].…”

Section: Fig 2 Variability Of the Statistical Parameters (Chart X -R)...mentioning

confidence: 99%

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Section: Statistical Parameter Control Methods (Control Chart)mentioning

confidence: 99%

Section: Fig 2 Variability Of the Statistical Parameters (Chart X -R)...mentioning

confidence: 99%

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2022

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“…However, the fatigue of wire rope will cause unpredictable risk to life security [8]. Nowadays, the reliability analysis and life prediction are widely concerned [9,10,11,12,13]. Due to the additional production processes involved, steel ropes formed from compacted strands are more expensive than equivalent ropes with strands made with linear wire contact.…”

Section: Literature Review Production Of Ropes From Compacted Strands...mentioning

confidence: 99%

Fatigue Life of Compacted Wire Ropes for Applications in Deep Mining

Kubiś

Olszyna

Szade

et al. 2023

Management Systems in Production Engineering

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Recent months have highlighted the progressing energy crisis across Europe in connection with the severe sanctions imposed on the import of hydrocarbons and coal from Russia. This is particularly visible in Poland, where over 40% of electricity is generated from coal, while in individual households it is the primary source of heat. This situation puts the already enigmatic plans of shutting down coal mining in Poland into question. Therefore, work aimed at increasing the extraction capacity of existing shafts while maintaining the highest level of operational safety is still valid. This article concerns the issues of the fatigue life of compacted ropes used as hoist ropes in mine shafts. The discussion regarding the use of these ropes among shaft hoist users has been going on for several years. This paper presents the unique results of compacted rope fatigue tests carried out at the Central Mining Institute in Katowice. In the authors’ view, these results and their interpretation should serve to clarify several important aspects that arouse the interest of users.

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“…In the past decades, different methods are proposed to quantify the epistemic uncertainty of data used in reliability assessment 19–21 . The fuzzy method was utilized to quantify the epistemic uncertainty of system reliability in the literature 22–24 . Liu et al 22 .…”

Section: Introductionmentioning

confidence: 99%

An evidential network approach to reliability assessment by aggregating system‐level imprecise knowledge

Huang

Shao

Xiahou

et al. 2023

Quality & Reliability Eng

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Modern complex engineering systems oftentimes possess hierarchical structures which can be physically divided into several levels. Traditional reliability assessment methods were conducted using field data or time-to-failure data. For a hierarchical system, different levels' reliability-related data from monitoring or observations can provide additional information to update the system's reliability. However, with the limitation of sensing and monitoring technologies and vague judgments from experts, the reliability data inevitably contain epistemic uncertainty. Properly fusing the imprecise data can still improve the accuracy of system reliability assessment. In this article, we propose a reliability assessment approach based on the evidential network (EN) model to update the hierarchical systems' reliability by aggregating the system-level imprecise knowledge. First, the evidence theory is applied to quantify the epistemic uncertainty associated with the imprecise system-level reliability data. Then, an EN model is created to realize the uncertainty propagation and fusion of imprecise data. Finally, at any particular time instant, the system reliability can be updated with the aid of imprecise data based on the proposed EN model. The effectiveness of the proposed method is validated by a real engineering case of a wind turbine system. Overall, the results shown from the case study support that the proposed method can update the reliability of hierarchical systems by using system-level imprecise data.

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Reliability assessment of wind turbine generators by fuzzy universal generating function

Cited by 16 publications

References 33 publications

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Fatigue Life of Compacted Wire Ropes for Applications in Deep Mining

An evidential network approach to reliability assessment by aggregating system‐level imprecise knowledge

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