本文旨在探討軋鋼廠高壓電氣設備利用即時量測及趨勢統計方法，期能協助預知高壓電氣設備可能發生部分放電，進而予以即時施行檢修維護，以確保生產系統之正常運轉，其中本文方法乃以軋鋼廠之高壓設備為量測對象，以判斷可能故障原因，續以實際現場設備處置，以驗證判斷準確性，而對於軋鋼廠其他高壓設備，該方法亦適用於評估設備發生故障機率。目前本文已將測試結果建立歷史趨勢圖，以作為未來監測判斷參考，且由文中量測結果、設備維修過程及維修後運轉過程，均可輔以證明本文方法確已具有掌握設備運轉狀況及減少設備發生運轉風險可能性之特點，此研究結果應有助於提升軋鋼廠高壓電氣設備預警檢知判斷能力，並可裨於強化運轉可靠度。

The thesis is aimed to investigate the application of real-time measurement and statistics method for the forewarning of partial discharge forewarning in the rolling equipment installed at the steel company. Through the assistance of the proposed approach, the high-power equipment commonly observed in the steel company can be early detected such that the system operation is better ensured. This method has been tested on the field, which is also suitable for other equipments to evaluate their fault probability. Meanwhile, from the measurement data, the history trend is well formed for future reference. It is anticipated that the test results gained from this thesis would be beneficial to increase the forewarning capability of steel plant, while the reliability of operation can be enhanced.

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