Application of Local Wave Time-Frequency Spectrum and Neural Networks to Fault Classificationin Rota

• 作 者: HAOZhi-hua MAXiao-jiang
• 机 构: InstituteofVibrationEngineering,InstituteofVibrationEngineering
• 出 处: 国际设备工程与管理：英文版
• 发表日期: 2005年1期
• 关键词: 信号分类 局域波 人工神经网络 时间-频率表达式 经验分解模式 signal classification neural network local wave

A new method of fault analysis and detection by signal classification in rotating machines is presented. The Local Wave time-frequency spectrum which is a new method for processing a non-stationary signal is used to produce the representation of the signa