基于机械振动的旋转供弹机构故障诊断综述  

A Review of Fault Diagnosis for Rotating Shell-feeding Mechanical Device Based on Mechanical Vibration

作　　者：汤健 田福庆[2] 佘博[2] 吴志伟 梁伟阁 TANG Jian;TIAN Fu-qing;SHE Bo;WU Zhi-wei;LIANG Wei-ge(Department of Information,Beijing University of Teelmology,Beijing 100124,China;College of Weaponry Engineering,Naval University of Engineering,Wuhan 430032,China;State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110024,China)

机构地区：[1]北京工业大学信息学部,北京100124 [2]海军工程大学兵器工程学院,武汉430032 [3]东北大学流程工业综合自动化国家重点实验室,沈阳110024

出　　处：《控制工程》2018年第10期1777-1784,共8页Control Engineering of China

基　　金：国家自然科学基金(项目批准号:61573364,61640308)

摘　　要：速射火炮旋转供弹机构与发射系统同步高速运动,及时识别其频发故障和预警其引发的灾难性停射故障是保证发射系统安全运行和抑制故障恶化的关键,对促进机械装备从定期维修、事后维修向视情维修转变意义重大。针对旋转供弹机构的故障诊断问题,从融合机械振动机理和振动数据的角度进行综述,将其分为旋转供弹机构频发故障识别、灾难性停射故障预警、转管武器装备振动机理及特征提取共3个层次,并对相关研究进展、应用以及局限性予以介绍。最后对供弹机构故障诊断的难点进行分析,并展望旋转供弹机构故障诊断相关的振动机理数值仿真与机理分析、振动信号多域多尺度故障特征提取、频发故障选择性集成融合识别以及灾难性故障预警等难点热点问题。Rotating shell-feeding mechanical device of the rapid artillery system works with high speed launch system synchronously, timely identification of its frequent failure and early warning of its catastrophic shoot-stopping failure is the key to guarantee the safe operation of and suppress fault deterioration. It is significant to promote the mechanical equipment from regular maintenance and ex post maintenance to condition-based maintenance. In this paper, the fault diagnosis of rotating shell-feeding mechanical device is reviewed in terms of fusion mechanical vibration mechanism and mechanical vibration data. Related research progress, application and limitation of three different levels of this topic, i.e., frequent fault identification, catastrophic failure warning, and vibration mechanism analysis and fault feature extraction of rotating mechanical devices, are introduced. Finally, the difficulty of the fault diagnosis of the rotating shell-feeding mechanical device is analyzed, and four difficult and hot research problems relative to mechanical fault diagnosis, such as the numerical simulation of rotating shen-feeding mechanical device, multi-domain and multi-scale fault feature extraction of mechanical vibration signal, fusion recognition of frequent fault diagnosis based on selective ensemble algorithm, and early warning of catastrophic shoot-stopping failure, are prospected.

关 键 词：旋转供弹机构 机械振动 故障诊断 信号处理 特征提取 集成识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]