A piston is the key component of the diesel engine, which is subjected to higher pressure and temperature inside the combustion chamber. The wear propagation on piston leads to an increase in engine vibrations, acoustic emissions, exhaust emissions, lubricant degradation, reduction in the total power output and thermal efficiency of the engine. Hence, it is necessary to consider fault diagnostic techniques to detect the faults developed in the piston during the in-service condition. In this experimental work, efforts were made to detect the piston scuffing fault using vibration and acoustic emission analyses. The fault-related features were extracted from vibro-acoustic signals using signal processing tools viz. fast Fourier transform and continuous wavelet transform. The performance parameters such as brake power, brake thermal efficiency, brake specific fuel consumption, fuel consumption and in-cylinder combustion pressure, emission parameters viz. carbon monoxide, carbon dioxide, hydrocarbon, and nitrogen oxide, and lubricant degradation analyses were also considered to analyze the effects of piston scuffing fault on these parameters. The results provide a good correlation between vibration and acoustic signals, performance, and lubricant parameters to detect and diagnose the scuffing fault that appeared on the piston of the diesel engine.

活塞是柴油机的关键部件，在燃烧室内承受较高的压力和温度。活塞上的磨损传播会导致发动机振动、声学排放、废气排放、润滑剂退化、发动机总功率输出和热效率降低。因此，有必要考虑故障诊断技术来检测在使用状态期间活塞中产生的故障。在这项实验工作中，努力使用振动和声发射分析来检测活塞磨损故障。使用信号处理工具从振动声信号中提取与故障相关的特征。快速傅里叶变换和连续小波变换。制动功率、制动热效率、制动比油耗、油耗和缸内燃烧压力、排放参数即。还考虑使用一氧化碳、二氧化碳、碳氢化合物和氮氧化物以及润滑剂降解分析来分析活塞磨损故障对这些参数的影响。结果提供了振动和声学信号、性能和润滑剂参数之间的良好相关性，以检测和诊断出现在柴油机活塞上的擦伤故障。