Device Health Status Assessment Under the Influence of Multiple Exception Modes

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-08-17 DOI:10.36001/ijphm.2023.v14i2.3533

Xuemei Yuan, Fei-long Liu, Yong-jun Qie, Shuai Sun, Jie Ren

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Abstract

Equipment reliability is the key feature to ensure the equipment operation for a long time. It is difficult to determine the overall reliability of industrial equipment due to the different reliability states of different subsystems. A device abnormality identification method based on JS (Jenson's Shannon) divergence and a health status assessment technology based on FMECA (failure mode, effect and criticality analysis) are proposed. This method enables an accurate assessment of the current health status of the device. First, the historical operation data is preprocessed according to the characteristics of the equipment to improve the data quality. The JS divergence method is reused to extract the similarity between the key feature data distribution and the benchmark data distribution. Then, the FMECA report is established using the real running data of the device combined with expert experience. Gray theory was used to determine the degree of association between one-way health state membership vector and different health state rank vector. Finally, the health status level was comprehensively evaluated by the fuzzy membership method. Taking the mechanical arm component of a 100-ton crane as an example, the results show that this method can effectively evaluate the current health state of the equipment, and provide power for the abnormal advance disposal and auxiliary management decisions.

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多种异常模式影响下的设备健康状态评估

设备可靠性是保证设备长期运行的关键特征。由于不同子系统的可靠性状态不同，很难确定工业设备的总体可靠性。提出了一种基于JS（Jenson's Shannon）散度的设备异常识别方法和一种基于FMECA（故障模式、影响和关键性分析）的健康状态评估技术。该方法能够准确评估设备的当前健康状态。首先，根据设备的特点对历史运行数据进行预处理，提高数据质量。重用JS发散方法来提取关键特征数据分布与基准数据分布之间的相似性。然后，利用设备的真实运行数据，结合专家经验，建立FMECA报告。灰色理论用于确定单向健康状态隶属度向量与不同健康状态秩向量之间的关联度。最后，采用模糊隶属度法对健康状况水平进行了综合评价。以100吨起重机机械臂部件为例，结果表明，该方法能够有效地评估设备的当前健康状态，为异常提前处理和辅助管理决策提供依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.