【作者】 别锋锋； 吕凤霞；

【Author】 Bie Fengfeng, Lv Fengxia(1 Key Laboratory for Dalian University of Technology Precision & Non-Traditional Machining ; of Ministry of Education, Dalian 116023, China;2 Mechanical department of Daqing Petroleum Institute, Daqing 163318, China)

【机构】 大连理工大学精密与特种加工教育部重点实验室； 大庆石油学院机械学院；

【摘要】 提出了一种基于局域波时频谱的故障灰色预测方法。对于机械设备的振动信号,利用局域波法得到的局域波时频图像能够同时在时间和频率上反映信号能量的变化。通过比较两种不同预测模型在大型工业机组故障预测中的预测精度,选取变步数灰色预测模型。将时频谱中的各局域波分量作为预测控制模型的输入量。方法应用于机组系统故障预测中,有效的提高了预测精度。更多还原

【Abstract】 The grey prediction method of diagnosis based on local wave time-frequency spectrum is presented. By local wave time-frequency spectrum, power fluctuate of the vibration signal can be reflected on time and frequency domain. Comparing the precision of the two main analysis models in the diagnosis prediction on industrial equipments, the step-changing grey prediction model is chosen, in which the local wave decomposition is set as the basic input. Application of the method in fault prediction on the reciprocating compressor system illustrates the precision improvement.更多还原