隨著現代工業科技的日新月異，馬達應用場合已朝大型、自動化的方向發展，現今自動化工廠產線多需維持24小時不間斷的運作，其中馬達運轉設備扮演了舉足輕重的角色，本研究旨在避免因馬達長期運轉導致故障發生，進而影響人員安全及產能下滑的經濟損失之目的，遂透過監測馬達運轉訊號進行分析與故障預警的功能，藉以達到防範於未然的效果。
基於此，本研究之對象為鼠籠式感應電動機，並使用電氣與振動檢測法量測其訊號，輔以國際標準及文獻作為馬達故障訊號檢測結果之綜合評估研究。首先，建立四種較常見之電動機瑕疵模型，其瑕疵部件分別為定子、轉子、軸承與對中等部分，並透過電氣與振動檢測法進行訊號解析與故障判讀。
經實驗結果得知，電氣與振動檢測法對於馬達各部件之瑕疵所反映的故障訊息，有其各自擅長判讀與相輔相成的特性。因此，研發馬達狀態監測之綜合性檢測法，值得進一步研究。

With the rapid advancement of contemporary industrial technology, motor development has progressed toward large-scale and automated applications. Current automated factory production lines in which motor equipment plays a key role are operated continuously on a 24-hour basis. The purpose of this study was to prevent motor malfunction caused by extended operation, which may jeopardize staff safety and lead to financial losses related to production decline. In addition, motor operation signals and malfunction warning functions were analyzed in order to prevent malfunction-related problems.
In this study, a squirrel-cage induction motor and electrical and vibrational detection methods were used to measure motor signals. Based on international standards and the literature, this study comprehensively evaluated the motor malfunction signal detection results. First, four common defective motor models were established, which consisted of a defective stator, rotor, bearing, and centering device. Subsequently, electrical and vibrational detection methods were employed to analyze the signals and interpret the malfunctions.
The experimental results indicated that electrical and vibrational detection methods exhibited complementary properties and were able to effectively interpret malfunction messages that reflect defective motor components. Therefore, development of a comprehensive analysis method for motor condition monitoring is worthy of further study.

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