查詢結果分析
來源資料
頁籤選單縮合
題名 | 類神經網路使用多重振動信號於馬達故障診斷=Neural Network in Fault Diagnosis of Motor by Using Multiple Vibrational Signal |
---|---|
作者 | 朱明輝; 張永鵬; 王俊傑; 彭善謙; 康淵; Chu, Ming-hui; Chang, Yeon-pun; Wang, Chun-chieh; Peng, Shan-chien; Kang, Yuan; |
期刊 | 中原學報 |
出版日期 | 20050900 |
卷期 | 33:3 民94.09 |
頁次 | 頁339-350 |
分類號 | 448.22 |
語文 | chi |
關鍵詞 | 故障診斷; 綜合信號; 頻譜分析; 頻瀑分析; 軸心軌跡分析; Fault diagnosis; Multiple signals; Frequency spectrum analysis; Waterfall analysis; Orbital analysis; |
中文摘要 | 當馬達發生故障時,可藉由振動分析,判別故障發生原因,每一種振動分析方法有一定的鑑別特性,使用單一分析方法,常不能正確診斷出故障原因,本文提出以綜合振動信號診斷馬達故障方法,利用頻譜、頻瀑(Waterfall)及軸心軌跡分析結果相互推理,提高故障鑑別率,並以三個實例,說明綜合多重信號之診斷方法。 |
英文摘要 | When the motor breaks down, we can use vibrations analysis method to diagnose faults. Each vibrations analysis method has different characteristics. Sometimes using the sole analysis method, we can’t correctly diagnose the fault. In order to raise the rate of diagnosis ability, this article proposed multiple vibration signal diagnosis motor fault method which includes frequency spectrum analysis, waterfall analysis, and orbital analysis. We use three examples to explain multiple vibration signals for motor fault diagnosis. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。