A machine working in different conditions produces different vibration patterns. For this reason, a intelligent vibration-based system is developed to monitordiagnose machine health. First, historical vibration records were labeled by the expert engineer. Next, supervised learning on the historical recordsits labels was applied to build up a classified neural network. The collected insta

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"產業應用潛力：設備異常運轉將有可能造成意外停機，降低產線運轉效率甚至可能延誤出貨時間。因此不少知名大廠均致力於貴重設備振動監測。
應用對象：機械加工業者、工具機台製造商
應用類別：機械、半導體、鋼鐵
未來能創造之經濟效益：降低設備異外停機之經濟損失、帶動物聯網產業於設備振動監測之應用"