Investigation on the health evaluation of mechanical system in powertrain based on subjective and objective fusion method

Jianpeng Wu, Jian Yang, Yuxin Wang, Liyong Wang, Ruihan Chen
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Abstract

The powertrain is a core component of military heavy tracked vehicles, and the accurate evaluation of its reliability and health is gradually becoming a key technology to improve our military combat effectiveness. However, the powertrain is a complex system integrating mechanical, electrical, and hydraulic components, which is difficult to achieve its accurate assessment and comprehensive characterization. Therefore, using data-driven and expert opinion fusion method to evaluate the mechanical system health is gradually becoming a research trend. This paper points out the composition of evaluation system, and puts forward how to calculate the index. Then using subjective and objective fusion method to analyze these indexes of mechanical system health and calculate the weights of each index. Based on the weights, the fuzzy comprehensive evaluation method is used to score and summarize the change law of mechanical system health. In conclusion, this study enriches the method of effectively evaluating the mechanical system health, and verifies the accuracy of this evaluation method. It will provide an evaluation basis for improving the mechanical system reliability.
基于主客观融合法的动力总成机械系统健康评估研究
动力总成是军用重型履带车辆的核心部件,准确评估其可靠性和健康状况正逐渐成为提高我军战斗力的关键技术。然而,动力总成是一个集机械、电气和液压部件于一体的复杂系统,很难对其进行准确评估和全面表征。因此,采用数据驱动和专家意见融合的方法来评估机械系统健康状况逐渐成为一种研究趋势。本文指出了评价体系的构成,并提出了如何计算指标。然后采用主客观融合的方法对机械系统健康的这些指标进行分析,并计算出各指标的权重。在权重的基础上,采用模糊综合评价法对机械系统健康度的变化规律进行打分和总结。总之,本研究丰富了有效评价机械系统健康状况的方法,验证了该评价方法的准确性。它将为提高机械系统可靠性提供评价依据。
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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