CAJ | 학술논문

机械是国民经济建设中不可缺少的关键设备，对其故障诊断方法的研究具有重要意义．当前机械故障诊断的关键就是寻找使诊断结果准确的方法．从故障诊断的实际出发，根据设备提供信息的多样性及故障表征形式的复杂性，分析了故障诊断技术和信息融合技术相结合的特点；阐述了故障智能诊断的过程和与其相关的应用技术的关系；论述了故障信号采集与处理、故障智能诊断方法的研究．并对今后的发展方向进行了预测．
궤계시국민경제건설중불가결소적관건설비，대기고장진단방법적연구구유중요의의．당전궤계고장진단적관건취시심조사진단결과준학적방법．종고장진단적실제출발，근거설비제공신식적다양성급고장표정형식적복잡성，분석료고장진단기술화신식융합기술상결합적특점；천술료고장지능진단적과정화여기상관적응용기술적관계；논술료고장신호채집여처리、고장지능진단방법적연구．병대금후적발전방향진행료예측．
Machinery is an important equipment for the citizen economic construction. It is of great significance to study the fault diagnosis method of machinery. Currently, the key point of rotating machinery fault diagnosis is diagnostic accuracy. According to particulars of fault diagnosis, information fusion technology was analyzed considering information diversity and symptom complex of machinery. The relationships between fault diagnosis and other application technology were explained. The fault signal collecting and processing method, fault diagnosis decision were reviewed. The development of intelligent method of vibration fault diagnosis for machinery has been predicted,