基于粒子滤波和自回归谱的液压泵故障诊断 .pdfVIP

学兔兔 第33卷 第3期 仪 器 仪 表 学 报 V0l_33 No．3 2012年3月 Chinese Journal of Scientific Instrument Mar．2012 基于粒子滤波和自回归谱的液压泵故障诊断米 刘玉娇 ，姚恩涛 ，徐红专 (1南京航空航天大学自动化学院 南京 210016；2航空机电系统综合航空科技重点实验室 南京 21 1 106) 摘 要：针对飞机轴向柱塞式液压泵的工作状态监控问题，提出了一种基于液压泵振动信号分析处理的故障诊断新方法。通 过对加速度传感器的原始数据序列进行信号建模，利用粒子数优化后的粒子滤波算法进行降噪；根据滤波后信号的自回归谱提 取特征值，结合液压泵的故障机理分析其工作状态，实现对液压泵的故障分析和诊断。实验及仿真结果表明，粒子滤波可有效 跟随原始信号并滤除噪声干扰，基于粒子滤波和白回归谱的液压泵故障诊断方法能有效地提取故障特征值，实现故障诊断和 识别。 关键词：液压泵；粒子滤波；自回归谱；故障诊断 中图分类号：V233．91 文献标识码：A 国家标准学科分类代码：590．99 Fault diagnosis of hydraulic pump based on particle filtering and aut0regressiVe spectrum Liu Yujiao ，Yao Entao ，Xu Hongzhuan (J College ofAutomation Engineering，Na ng University ofAeronautics and Astronautics，Na ng 210016，China； 2 Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration，Na ng 211106，China) Abstract：Aiming at the monitoring problem of running state of axial plunger pump used on some airplanes，a new fault diagnostic method based on analyzing and processing the vibration signals of hydraulic pump shell was presen— ted．Through modeling the original data sequence obtained with accelerometers，using optimized particle filtering to reduce noise，extracting the eigenvalue of the autoregressive spectral of the filtered signals and analyzing the working conditions of the hydraulic pump according to its working principle，the fault analysis and diagnosis of hydraulic pump are achieved．The study shows that particle filtering can effectively follow the original signal and filter out noise jamming；and the proposed fault diagnosis method can effectively extract the fault characte