摘要
为保证高速客运机车的行车安全,开发基于车辆总线的机车轴承故障诊断系统,通过车辆总线监测温度和振动信号对机车走行部轴承进行早期诊断和预警。给出诊断系统的硬件结构、软件功能与特点。分析机车轴承振动信号特征,针对故障轴承冲击响应由一系列单边衰减振荡信号组成,轴承故障特征频率包含的能量少且受到噪声干扰的特点,将Laplace小波引入轴承振动信号分析,提出基于Laplace小波相关滤波和包络谱分析提取故障特征频率的机车轴承诊断方法。试验表明,所开发的系统有很强的鲁棒性,能有效诊断机车走行部各种类型的故障。
In order to guarantee the running safety of the high-speed passenger locomotive,a novel vehicle-bus-based fault diagnostic system for locomotive bearings is developed.By monitoring real-time temperature and vibration signals through the vehicle bus,initial faults of bearings in the running gears of the locomotive are diagnosed and early warnings are given.The hardware structure,software functions and features of the diagnosis system are presented.Furthermore,the characteristics of locomotive bearing vibration signals are analyzed.Taking into consideration the impulse responses of fault bearings consist of a series of exponentially decaying sinusoids and the characteristic frequencies of fault bearings are at very low energy levels and can be easily masked by noises,the laplace warelets are introduced into analysis of bearing vibration signals.Bearing signals are preprocessed through Laplace-wavelet transform to achieve feature extraction and the fault diagnosis method based on the Laplace-wavelet enveloped power spectrum is proposed.The proposed system has been used in locomotive running tests.The results show it is of good robustness and can detect bearing defects accurately.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2011年第8期23-27,共5页
Journal of the China Railway Society
