Fault Detection Method of Medical Equipment Based on Multi-Index Electrical Performance Parameters

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-01-29 DOI:10.1155/2024/5516493

Xiaoyu Chen, Haitao Guo, Zihong Wang, Feiba Chang, Xiaomei Ren, Chengqun Ma, Weiben Li, Miao Tian, Rui Yang, Xianju Yuan, Shengting Zhou

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Abstract

There is a lack of study on fault detection methods of medical equipment at home and abroad. The main reason is that the research of fault features is diverse and not systematic. This paper aims to propose a fault recognition method for medical equipment combining the electrical performance parameter features with fault events. First, it treats the equipment as a whole system, setting up the analysis model. Then, we are going to analyze the signal for indicator. This paper chooses the multi-index electrical performance parameters (MEPP) method for the fault identification an indicator. It is proved that the electrical performance signal can evaluate the status of equipment. Thus, it can also be used to recognize the fault or other working statuses. Then, the features of current, voltage, and power are studied exhaustively using a mathematical model. After that, the weight of each parameter feature in any specific event will be determined according to the influence of each parameter feature on fault events. At that time, the recognition method basically realizes the correlation between multi-index features and fault events through weight. Next, the above method needs to be verified in the experiment. This paper chooses six monitors for setting the rules of normal status. The normal status is the baseline for fault identification. Then, feature intervals of other faults are established around this reference. Finally, each feature interval will be constantly adjusted to meet the preset recognition rate and updated to the rules in the subsequent measurement. In this paper, 10 monitors are selected as samples to update a set of basic fault judgment rules based on MEPP, and by adjusting the overlapping interval, the fault recognition rate reaches more than 90% in this study. To sum up, this paper uses the MEPP method to find out the relationship of features of current, voltage, and power with fault events. It will become a new direction for fault recognition studies on electrical medical equipment and other device.

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基于多指标电气性能参数的医疗设备故障检测方法

国内外对医疗设备故障检测方法的研究还很缺乏。究其原因，主要是对故障特征的研究多种多样，缺乏系统性。本文旨在提出一种结合电气性能参数特征和故障事件的医疗设备故障识别方法。首先，将设备视为一个整体系统，建立分析模型。然后，对信号进行指标分析。本文选择多指标电气性能参数（MEPP）方法作为故障识别指标。实践证明，电气性能信号可以评估设备的状态。因此，它也可用于识别故障或其他工作状态。然后，利用数学模型对电流、电压和功率的特征进行了详尽的研究。然后，根据各参数特征对故障事件的影响，确定各参数特征在任何特定事件中的权重。此时，识别方法基本上通过权重实现了多指标特征与故障事件之间的相关性。接下来，需要对上述方法进行实验验证。本文选择了六个监控器来设定正常状态的规则。正常状态是故障识别的基准。然后，围绕这一基准建立其他故障的特征区间。最后，每个特征区间将不断调整以满足预设的识别率，并在后续测量中更新为规则。本文选取了 10 个监控器作为样本，更新了一套基于 MEPP 的基本故障判断规则，通过调整重叠区间，本研究的故障识别率达到了 90% 以上。综上所述，本文利用 MEPP 方法找出了电流、电压和功率特征与故障事件的关系。它将成为电气医疗设备和其他设备故障识别研究的一个新方向。

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.