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作 者:岑文剑 Cen Weng-jian(Wuzhou Vocational College,Guangxi Wuzhou 543001)
机构地区:[1]梧州职业学院,广西梧州543001
出 处:《内燃机与配件》2024年第23期50-52,共3页Internal Combustion Engine & Parts
基 金:2023年广西高校中青年教师科研基础能力提升项目“一种汽车空调压缩机机械磨损检测装置的探索与研究”(2023KY1548)。
摘 要:随着汽车行业的快速发展和人们对车辆舒适性的要求不断提高,汽车空调系统的可靠性和性能也成为关注的焦点之一。汽车空调压缩机作为空调系统的核心部件之一,其机械磨损对整个系统的运行稳定性和寿命有着重要影响。因此,开展汽车空调压缩机机械磨损分析与检测研究具有重要意义。基于多源信号处理技术的汽车空调压缩机机械磨损分析与检测方法,首先,对汽车空调系统的工作原理和压缩机的结构特点进行了介绍,然后,详细阐述了多源信号处理技术的原理和应用,包括振动信号、温度信号和电流信号,接着,介绍了汽车空调压缩机机械磨损的特征及其对信号的影响。最后,基于多源信号处理技术的汽车空调压缩机机械磨损分析与检测方法进行了总结和展望。With the rapid development of the automotive industry and the increasing demand for vehicle comfort,the reliability and performance of automotive air conditioning systems have become one of the focus areas.The automotive air conditioning compressor,as one of the core components of the air conditioning system,has a significant impact on the overall system's operational stability and lifespan due to its mechanical wear.Therefore,conducting research on the analysis and detection of mechanical wear of automotive air conditioning compressors is of great significance.This study presents an analysis and detection method for mechanical wear of automotive air conditioning compressors based on multi-source signal processing technology.Firstly,the working principle of the automotive air conditioning system and the structural characteristics of the compressor are introduced.Then,the principles and applications of multi-source signal processing technology are elaborated,including vibration signals,temperature signals,and current signals.Next,the characteristics of mechanical wear of automotive air conditioning compressors and its influence on signals are discussed.Finally,a summary and outlook are provided for the analysis and detection method of mechanical wear of automotive air conditioning compressors based on multi-source signal processing technology.
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