基于小波包的舵机故障特征提取方法研究  

Research of Fault Feature Extraction for Steering Gear Based on Wavelet Package Analysis

作　　者：周晶[1] 宋辉[1] 余家祥[1] 

机构地区：[1]海军大连舰艇学院训练部,大连116018

出　　处：《舰船电子工程》2011年第6期146-148,共3页Ship Electronic Engineering

摘　　要：舵机是船舶控制的核心部件之一,舵机一旦发生故障,轻则延误航期造成经济损失,重则严重威胁船舶航行安全。设备运行时受外界环境和本身故障等因素的影响,其振动信号中蕴含了丰富的故障信息和非平稳随机信号,故障特征提取是当前智能故障诊断中的重点和难点,它直接关系到诊断结果的准确性与可靠性。提出一种小波包分解的故障特征提取方法,仿真结果表明,该检测方法稳定有效,具有较好的推广性。Steering gear is one of the core components of ship＇s control system.Once the fault happens,it seriously threatened the safety of navigation.The vibration signal contains rich fault information and non-stationary random signals,when equipment is running under effects of environment and the fault.Fault feature extraction is the one of the most difficult and critical part for intelligent fault diagnosis,the result is directly related to the diagnosis accuracy and reliability.To this,this paper presents a wavelet packet decomposition of the fault feature extraction method and simulation results show that this method is stable effective.

关 键 词：小波包分析 故障诊断 故障特征提取 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]