| 基于小波奇异点和能量分布的传感器突发故障诊断 |
| |
| 引用本文： | 杨建宁,张荣标,成立,李自成.基于小波奇异点和能量分布的传感器突发故障诊断[J].农业机械学报,2007,38(11):170-173. |
| |
| 作者姓名： | 杨建宁 张荣标 成立 李自成 |
| |
| 作者单位： | 江苏大学电气信息工程学院,212013,镇江市 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 提出了运用小波变换分析传感器输出信号,检测和诊断传感器自身突变类型故障的方法。推导了运用传感器正常输出信号和5种典型突变性故障信号的小波变换,通过检测信号小波变换的奇异点,确定传感器突变型故障突变位置,从传感器典型故障信号在各小波尺度下分解时能量分布的不同,得到和故障类型相关性密切的特征向量矩阵,作为判断故障类型的根据。计算机仿真模拟硅压力传感器所获得的结果证实了方法的有效性。
|
| 关 键 词： | 传感器 故障诊断 小波变换 奇异点 |
| 收稿时间： | 2006-08-16 |
| 修稿时间： | 2006年8月16日 |
Abrupt Fault Detection and Diagnosis of Sensor Based on Singularity and Energy Distributing Analysis with Wavelet Transforms |
| |
| Yang Jianning,Zhang Rongbiao,Cheng Li,Li Zicheng.Abrupt Fault Detection and Diagnosis of Sensor Based on Singularity and Energy Distributing Analysis with Wavelet Transforms[J].Transactions of the Chinese Society of Agricultural Machinery,2007,38(11):170-173. |
| |
| Authors: | Yang Jianning Zhang Rongbiao Cheng Li Li Zicheng |
| |
| Institution: | Jiangsu University |
| |
| Abstract: | A novel method which uses wavelet transforms to detect and diagnose the abrupt fault of sensor by analysing the output signal was described. The paper also deduced the wavelet transforms of the normal signal outputs in sensor and five kinds of model abrupt fault signals. The abrupt faults of sensor were localized by detecting the singularity of the wavelet transforms signal. The characteristic vector matrix connecting with the types of faults was obtained by the energy distribution differences of the model fault signals on all decomposed wavelet scales. The sensor faults were classified according to the characteristic vector matrix. Finally, the simulation results of silicon pressure sensors verified the validity of the proposed method. |
| |
| Keywords: | Sensor Fault diagnosis Wavelet transforms Singularity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《农业机械学报》浏览原始摘要信息 |
| 点击此处可从《农业机械学报》下载免费的PDF全文 |
|
