With the rapid development of the automotive industry and the increasing demand for vehicle com-fort,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 auto-motive 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.
关键词
多源信号处理/空调压缩机/机械磨损
Key words
Multi-source signal processing/Air conditioning compressor/Mechanical wear
维普
万方数据