Reliability Analysis and Preventive Maintenance Strategy for Competitive Failure Process of Wind Turbine Blade with Hard Failure-Caused Threshold Variation
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Published:2023-12-12
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Volume:
Page:
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ISSN:0218-5393
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Container-title:International Journal of Reliability, Quality and Safety Engineering
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language:en
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Short-container-title:Int. J. Rel. Qual. Saf. Eng.
Author:
Ge Xinyu1ORCID,
Bi Junxi12ORCID,
Qi Xiao1ORCID,
Wang Yan2ORCID,
Wang Liuying2ORCID,
Liu Fei1ORCID
Affiliation:
1. College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, P. R. China
2. School of Aeronautics, Inner Mongolia University of Technology, Hohhot 010051, P. R. China
Abstract
During the operation of wind turbines, various failure forms are often caused by the interaction of their own performance degradation and external shocks due to the complexity of the operating environment and the form of the load. Whereas these failures are not obvious, improvement of life cycle and reduction of maintenance cost can be realized by identifying potential failures using a sound maintenance strategy and inspecting each system. In this study, we further extend the applicability of the competitive failure model by considering the existence of multiple shock types in the degradation process based on the competitive failure model of threshold variation caused by hard failure. We discuss two different cases of varying failure thresholds due to the multiple shock types. In case 1, cumulative degradation causes the system to fail at less than a predetermined failure threshold and with the presence of multiple shock types. In case 2, the cumulative degradation of the system reaches a predetermined failure threshold but is less than or equal to the set maximum failure threshold under multiple shock types. Finally, the validation is performed by two special cases. A status maintenance model based on preventive maintenance state thresholds is investigated to ensure that the system works properly under different degradation stages and to obtain the optimal preventive replacement threshold based on minimizing the desired cost rate. At last, the feasibility of the method was verified by reliability assessment and sensitivity analysis of wind turbine blade.
Funder
National Natural Science Foundation of China
Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region
Department of Science and Technology of Inner Mongolia
Publisher
World Scientific Pub Co Pte Ltd
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science