目前大部分的台灣發電廠對於高壓斷路器採取傳統以時間為基礎的定期維護策略，主要關鍵在於沒有安裝具有監視功能的智慧型電子裝置於斷路器，導致無法更加完整地蒐集斷路器維護及運轉資訊。雖然目前台電變電所皆已全面安裝智慧型電子裝置搭配斷路器，但卻普遍沒有將其斷路器維護資訊功能應用於斷路器之狀態維護策略上。
為解決上述兩項問題，本研究對已經安裝智慧型電子裝置於斷路器之發電廠或變電所，將利用專家問卷得出斷路器各項狀態評估因素及指標之權重，並運用智慧型電子裝置所提供之功能及斷路器歷史維護資料，結合如層級分析法、相對劣化度和模糊理論等評估方法於運轉狀態分析，此結果可了解斷路器進行維護之最適當時機；若尚未安裝智慧型電子裝置於斷路器之發電廠或變電所，本研究將利用斷路器關鍵部件失效模式與影響分析問卷，進而評估斷路器之電驛設備包含機電電驛、數位電驛或智慧型電子裝置其失效模式與風險優先序數之高低，此結果表現出其風險優先序數低於其他斷路器之電驛設備，對於斷路器的維護策略有極大之幫助。
關鍵字：狀態維護、斷路器、智慧型電子裝置、層級分析法、相對劣化度分析、失效模式與影響分析

Most of the power plants in Taiwan adopt the traditional time-based maintenance (TBM) strategy for high-voltage circuit breakers (CB). The key lies in the failure to install intelligent electronic devices (IED) with monitoring functions on CB, resulting in the inability to collect CB maintenance and operation information. Although Taipower company have all installed IED with CB, they have generally not applied CB maintenance information function to the condition-based maintenance (CBM) strategy of CB.
In order to solve the above two problems, this research will use expert questionnaires to obtain the weights of various status evaluation factors and indicators of CB for power plants or substations that have installed IED with CB. The functions provided by the device and the historical maintenance data of CB, combined with evaluative methods such as analytic hierarchy process (AHP), relative deterioration degree (RDD), and fuzzy theory, are used in the analysis of operating status. This result can understand the most appropriate time for the maintenance of CB. If no IED has been installed in the power plant or substation of CB, this research will use the failure mode and effect analysis (FMEA) questionnaire to evaluate the monitoring equipment of CB including electromechanical relays, digital relays or IED. The failure mode and risk priority number (RPN) of the type electronic device are high and low. This result shows that RPN is lower than the monitoring equipment of other CB, which is of great help to the maintenance strategy of CB.
Keywords：CBM, CB, IED, AHP, RDD, FMEA

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