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滚动轴承故障的灰色GM模型预测
引用本文:刘守道,张来斌,王朝晖,樊建春.滚动轴承故障的灰色GM模型预测[J].润滑与密封,2000(2):38-39.
作者姓名:刘守道  张来斌  王朝晖  樊建春
作者单位:石油大学(北京)机电学院,北京昌平,102249
摘    要:本文通过大量实验,获取滚动轴承时域特征参数,应用灰色GM模型进行故障预测,实验表明,灰色理论用于故障预测,具有较高的预测精度,适宜在故障预测领域作应用推广。

关 键 词:灰色理论  故障预测  滚动轴承  灰色GM模型  可靠性

Forecasting Diagnosis of Rolling Bearing by GM Model
Liu Shoudao,Zhang Laibin,Wang Zhaohui,Fan Jianchun.Forecasting Diagnosis of Rolling Bearing by GM Model[J].Lubrication Engineering,2000(2):38-39.
Authors:Liu Shoudao  Zhang Laibin  Wang Zhaohui  Fan Jianchun
Affiliation:University of Petroleum Beijing
Abstract:In this paper a great deal of experiments are performed to get domain parameters of rolling bearing, and then Grey Models are used to forecast the diagnosis. As showing in the experiments, GM model has a high precision in diagnosis forecasting and is suitable to be dried out.
Keywords:Grey Model Forecasting Diagnosis Rolling Bearing  
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