隨著科技的發展及生活品質的需求，馬達設備的應用場所越來越多、越來越廣泛，且單機容量不斷提升。馬達故障時不僅會損害馬達本體，若故障程度嚴重到迫使馬達停機，整個系統都會無法正常運作導致生產線的崩潰，而造成巨大的經濟損失及災難性後果。因此，若能監視馬達運轉中的狀況，得知馬達目前的健康情形，便可預先處理以避免故障的發生，提高系統整體效率及可靠度。本研究旨在研製一套馬達線上狀態監視系統，分析三相感應馬達的輸入電壓及電流得知馬達的電氣訊息，首先經由文獻探討了解馬達故障反映在電氣訊號的特徵，然後透過Simulink 模擬出正常馬達的電氣訊號，接著利用快速傅立葉轉換分析訊號並且提取實際訊號與模擬訊號的特徵加以比對； 最後利用LabVIEW 及MATLAB/GUI 建立一友善人機介面，與硬體設備整合完成一套馬達線上狀態監視系統，並且經由實驗的結果驗證本系統的實用性及可靠性。

With the development of technology and the increased demand for living quality, the application of motorized equipment has become increasingly prevalent and widespread, and the unit capacity for such equipment has continued to improve. However, motor failure not only results in physical damage to the motor, but can also hinder the operations of the entire system when the failure severity forces motor shutdown, consequently causing the collapse of production lines, enormous financial losses, and other disastrous outcomes. Thus, a means to monitor the operating conditions of motor and understand the motor status can serve as a preparatory measure for preventing the occurrence of failures and enhancing the efficiency and reliability of the overall system.
This study developed an on-line motor condition monitoring system by employing electrical analysis to examine the input voltage and current of three-phase induction motors and obtain the motor’s electrical messages. First, a literature review was conducted to investigate and determine the characteristics of electrical signals during motor failure. Second, Simulink dynamic simulations were performed to simulate the electrical signals of a normal operating motor, which were then analyzed using a Fast Fourier Transform (FFT). The characteristics of the actual and simulated signals were then extracted and compared. Finally, a user-friendly human-machine interface was established using
LabVIEW and MATLAB/GUI. This interface was integrated with hardware equipment to create an on-line motor condition monitoring system. The practicality and reliability of the proposed system were verified through experimentation.

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