摩擦磨损过程摩擦振动特征提取方法的研究

发布时间：2018-12-16 03:35

【摘要】：磨损是导致机械零部件失效的主要因素之一。在机械设备运行过程中,磨损过度就会引起机械零部件的报废甚至是机械设备的损坏,造成一定的经济损失。因而,对机械设备运行过程中磨损进行监测是十分重要。摩擦振动和摩擦力是摩擦副在摩擦磨损过程中必然产生的现象,摩擦振动和摩擦力信号包含了丰富的反映摩擦副磨损状态的信息,对其采集、处理和分析可实现对摩擦副磨损状态的监测,并且不影响设备的正常工作状态。国内外已有许多学者对摩擦振动和摩擦力进行了探讨和研究,并提出了不同的处理方法,然而,其瓶颈问题是如何从摩擦振动信号中准确地提取出能够反映摩擦副磨损状态的特征信息。因此,摩擦振动特征提取方法研究具有一定的理论意义和重要的工程应用价值。本文在实验室条件下利用MMW-1型立式万能摩擦磨损试验机进行了船用柴油机缸套-活塞环摩擦磨损试验,对不同工况下的摩擦磨损产生的摩擦振动和摩擦力信号进行了深入研究。探讨了摩擦振动和摩擦力信号小波包变换特征提取方法,分析了提取的特征参数与缸套-活塞环磨损状态之间的映射关系。结果表明：基于小波包变换提取的摩擦振动频域特征参数M和时域特征参数P和摩擦力时域特征参数E反映了缸套-活塞环磨损的剧烈程度和复杂程度,能够定量表征缸套-活塞环的磨损状态。
[Abstract]:Wear is one of the main factors leading to the failure of mechanical parts. In the process of mechanical equipment running, excessive wear and tear will lead to mechanical parts scrapping or even mechanical equipment damage, resulting in certain economic losses. Therefore, it is very important to monitor the wear and tear during the operation of mechanical equipment. Friction vibration and friction force are inevitable phenomena in the process of friction and wear. The signals of friction vibration and friction force contain abundant information reflecting the wear state of friction pairs. The treatment and analysis can realize the monitoring of the wear state of the friction pair and do not affect the normal working state of the equipment. Many scholars at home and abroad have discussed and studied friction vibration and friction force, and put forward different treatment methods, however, The bottleneck problem is how to accurately extract the characteristic information from the friction vibration signal which can reflect the wear state of the friction pair. Therefore, the study of friction vibration feature extraction has certain theoretical significance and important engineering application value. In this paper, the friction and wear tests of cylinder liner and piston ring of marine diesel engine are carried out by using MMW-1 vertical universal friction and wear tester under laboratory conditions. The friction vibration and friction force signals produced by friction and wear under different working conditions are studied in detail. The wavelet packet transform feature extraction method of friction vibration and friction signal is discussed, and the mapping relationship between the extracted feature parameters and the wear state of cylinder liner and piston ring is analyzed. The results show that the frequency domain characteristic parameter M and the time domain characteristic parameter P of friction vibration and the time domain characteristic parameter E of friction force extracted by wavelet packet transform reflect the intensity and complexity of the wear of cylinder liner and piston ring. The wear state of cylinder liner-piston ring can be quantitatively characterized.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH117.1

【相似文献】