Measuring in-service traction elevator reliability based on orthogonal defect classification and Markov analysis

IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Qiang Wang, Chongjun Yang, Juan Zhou, Jiaqi Xu, Benyao Chen, Kai Zhu, Linlin Wu, Xiaomeng Xu, Wanbing Su
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引用次数: 0

Abstract

To solve the challenge of accurate in-service traction elevator failure prediction, maintenance cycle and steady availability, a novel reliability model is proposed which combines orthogonal defect classification (ODC) and Markov analysis (MA). The elevator failure data are classified by the ODC method. Then, the failure rate and maintenance rate of the elevator parts are obtained based on triangular fuzzy theory. By analyzing the maintenance function of each part, the optimum maintenance cycle of the elevator is determined. Finally, the transient state and steady state equations are established by MA to determine the steady availability of elevators. A case study on elevator accidents and failure data is used to validate the effectiveness of the proposed method. The results show that the system steady state availability of elevators in the study was 0.9002.
基于正交缺陷分类和马尔可夫分析的在役牵引电梯可靠性测量
为解决在役牵引电梯故障准确预测、维修周期和稳定可用性的难题,提出了一种将正交缺陷分类(ODC)和马尔可夫分析(MA)相结合的可靠性模型。电梯故障数据采用ODC方法进行分类。然后,基于三角模糊理论得到电梯部件的故障率和维修率。通过分析各部件的维护功能,确定电梯的最佳维护周期。最后,利用遗传算法建立暂态和稳态方程,确定电梯的稳定可用性。以电梯事故和故障数据为例,验证了该方法的有效性。结果表明,本研究电梯系统稳态可用性为0.9002。
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来源期刊
CiteScore
4.50
自引率
19.00%
发文量
81
审稿时长
6-12 weeks
期刊介绍: The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome
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