广州化工
廣州化工
엄주화공
GUANGZHOU CHEMICAL INDUSTRY AND TECHNOLOGY
2012年
7期
50-52
,共3页
旋转机械%人工智能%故障诊断
鏇轉機械%人工智能%故障診斷
선전궤계%인공지능%고장진단
rotating machinery%artificial intelligence%fault diagnosis
旋转机械是广泛应用于石化等行业的关键设备,随着计算机技术和人工智能技术的迅速发展,智能诊断技术为旋转机械的故障分析提供了先进手段。论文概述了旋转机械故障智能诊断最重要的九种方法及其工程运用,并对每种方法列举其优缺点。从大量的科研和实例中得出结论,指出了今后的发展方向。
鏇轉機械是廣汎應用于石化等行業的關鍵設備,隨著計算機技術和人工智能技術的迅速髮展,智能診斷技術為鏇轉機械的故障分析提供瞭先進手段。論文概述瞭鏇轉機械故障智能診斷最重要的九種方法及其工程運用,併對每種方法列舉其優缺點。從大量的科研和實例中得齣結論,指齣瞭今後的髮展方嚮。
선전궤계시엄범응용우석화등행업적관건설비,수착계산궤기술화인공지능기술적신속발전,지능진단기술위선전궤계적고장분석제공료선진수단。논문개술료선전궤계고장지능진단최중요적구충방법급기공정운용,병대매충방법열거기우결점。종대량적과연화실례중득출결론,지출료금후적발전방향。
Rotating machinery was a kind of key equipment widely used in petrochemical and other industries.Intelligent diagnosis technology for fault analysis in rotating machinery provided advanced means along with the rapid development of computer technology and artificial intelligence technology.The most important nine methods and engineering applications of each method,and their advantages were disadvantages were listed.From a large number of scientific researches and practical applications,the future research work was also proposed at last.
