基于混合智能算法的轴承故障诊断系统设计被引量：1

Design on bearing fault diagnostic system based on hybrid intelligent algorithm

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摘要设计了基于多种智能方法的轴承试验机故障监测系统,该系统可实现轴承试验机的在线监测,对被试验轴承的的振动信号的时域与频域指标通过多种智能算法进行分析,从而实现轴承故障的综合实时诊断,整个试验过程数据通过网络传送到上位机进行显示并存储到数据库中。该系统在轴承生产企业得到了成功的应用。 A bearing fault diagnostic system based on hybrid intelligent algorithm was designed. The system can monitor the health status of bearings tested on the test bed through sensers of vibration and temperature, analyze the aquired signal in frequency domain and time domain by sevaral intelligent algorithm such as fuzzy Inference, wavelet neural network, etc. and then diagnoses if there are some fault occur on the tested bearings. The diagnostic results can be transferred to computers through network. The system has been applied in a bearing plant suceesfully.

作者赵永生李宝莹

机构地区大连海事大学自动化研究所大连轻工业学院信息学院

出处《鞍山科技大学学报》 2007年第4期381-384,共4页 Journal of Anshan University of Science and Technology

关键词故障诊断模糊逻辑小波神经网络轴承试验机 fault diagnosis fuzzy logic wavelet neuralnetwork bearing test bed

分类号 TP18 [自动化与计算机技术—控制理论与控制工程] TP277 [自动化与计算机技术—检测技术与自动化装置]

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