旋转机械运行稳定性劣化的高阶累积量特征提取方法

摘要/Abstract

摘要：

研究了基于高阶累积量理论的1.5维谱、四阶累积量对角切片谱方法在提取运行稳定性劣化特征方面的性能;从敏感性、趋势性、差异性、一致性角度，讨论了两种特征提取方法的趋势预测适用性。基于构建的转子实验台进行转子系统多种劣化类型下不同劣化程度状态的特征提取实验,检验两种方法作为特征提取手段的性能,解决了风电机组传动系统运行稳定性劣化的状态诊断、劣化趋势预测中特征提取方法的选择缺少理论依据的问题。

关键词: 风电机组, 稳定性劣化, 1.5维谱, 四阶累积量对角切片谱, 特征提取

Abstract:

This paper focused on feature extraction method based on high order cumulant like 1.5-dimension spectrum and fourth-order cumulant diagonal slice spectrum,and also its performance on running stability deterioration.Experimental data of varying degrees of deterioration under various types of deterioration were collected,and sensitivity property,trend property,difference property,and consistency property were proposed to evaluate different methods.It can provide theoretical basis for selecting feature extraction method for fault diagnosis and trend prediction of running stability deterioration.

Key words: wind , turbine;stability deterioration;1.5-dimension spectrum;fourth-order , cumulant diagonal slice spectrum;feature extraction

中图分类号:

TH17

蒋章雷, 徐小力. 旋转机械运行稳定性劣化的高阶累积量特征提取方法[J]. 中国机械工程, 2016, 27(02): 160-167.

Jiang Zhanglei, Xu Xiaoli. Feature Extraction Method Based on High Order Cumulant Faced to Running Stability Deterioration of Rotating Machinery[J]. China Mechanical Engineering, 2016, 27(02): 160-167.

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