三相電流特性對於感應電動機損壞之研究

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题名:	三相電流特性對於感應電動機損壞之研究 A Study of Three-Phase Current Characteristics in Induction Motor Deterioration
作者:	李政達 LEE, CHEN-TA
贡献者:	機械工程學系數位機電碩士班
关键词:	電力不平衡三相感應電動機電動機損壞電流平均數電流中位數電流全距 power imbalance three-phase induction motor motor damage mean current median current range current
日期:	2025
上传时间:	2025-03-14 15:51:50 (UTC+8)
摘要:	在工業設備維護與監控領域中，電動機的健康狀態監測扮演著關鍵角色，本研究針對三相感應電動機的電流特性進行系統性分析，透過平均值、中位數及全距等統計指標，深入探討正常與損壞狀態下的運行特徵差異。損壞電動機的三相電流全距比約為正常電動機的4.7倍，且平均離差比在特定週期超過10%，顯示出顯著的不穩定性；在各相電流特性中，R相變化最為明顯，後期平均值明顯下降，S相影響相對較小，T相則呈現階段性特徵，並在後期出現顯著波動，損壞比高達5.46%；研究發現採用50筆取樣方式，可以有效地顯示損壞電動機的電流特性；電流中位數的分析相較於平均值更能穩定地反應損壞趨勢，並去除極值影響，透過雙向及三相電流的交叉比較，損壞電動機的雙相與三相電流全距呈現明顯的變動，研究結果可以為電動機故障診斷提供重要的參考依據，更可以應用於預測維護系統的開發，透過對三相電流的即時監測與分析，有效地預防設備故障，提升工業生產的可靠性與效能。 In the field of industrial equipment maintenance and monitoring, motor health monitoring plays a crucial role. This study conducts a systematic analysis of the current characteristics of three-phase induction motors, utilizing statistical indicators such as mean, median, and range to thoroughly investigate operational characteristic differences between normal and damaged states. The damaged motor's three-phase current range ratio is approximately 4.7 times that of a normal motor, with the average deviation ratio exceeding 10% during specific periods, indicating significant instability. Among the phase current characteristics, the R-phase shows the most pronounced changes with a notable decrease in mean value during later stages, the S-phase exhibits relatively minor effects, while the T-phase demonstrates periodic characteristics and significant fluctuations in later stages, with a damage ratio reaching 5.46%. The research finds that using a 50-data-point sampling method effectively reveals the current characteristics of damaged motors. Median current analysis provides a more stable reflection of damage trends compared to mean values and eliminates extreme value influences. Through bilateral and three-phase current cross-comparisons, the damaged motor's two-phase and three-phase current ranges exhibit distinct variations. The research findings provide crucial reference criteria for motor fault diagnosis and can be applied to the development of predictive maintenance systems. Through real-time monitoring and analysis of three-phase currents, equipment failure can be effectively prevented, thereby enhancing industrial production reliability and efficiency.
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