旋转机械振动故障诊断的灰度-梯度共生矩阵方法

窦唯; 刘占生; 王政先

旋转机械振动故障诊断的灰度-梯度共生矩阵方法

哈尔滨工业大学能源科学与工程学院, 哈尔滨 150001

基金项目: 国家自然科学基金(50875056)

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- 被引次数: 0
出版历程
- 收稿日期: 2007-09-20
- 修回日期: 2007-12-01
- 刊出日期: 2008-10-28

Vibration fault diagnosis method based on gray level-gradient co-occurrence matrix for rotating machinery

School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

摘要

摘要: 研究了基于灰度-梯度共生矩阵的旋转机械故障诊断方法,利用灰度-梯度共生矩阵直接提取旋转机械振动参数图形中的特征信息,应用人工免疫系统实现旋转机械故障诊断.实验验证该方法可以获得较高的诊断精度,证明了该方法的可行性.
- 故障诊断 /
- 参数图形 /
- 灰度-梯度共生矩阵 /
- 纹理特征 /
- 旋转机械
Abstract: A diagnosis method based on gray level-gradient co-occurrence matrix was researched in this paper.This method was used to directly extract the features from graphics of rotating machinery by gray level-gradient co-occurrence matrix.And,fault diagnosis of rotating machinery was achieved by using artificial immune system.The test proves that this method can get high diagnosis accuracy.
- fault diagnosis /
- parameters image /
- gray-gradient co-occurrence matrix /
- texture feature /
- rotating machinery

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参考文献(7)

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