風力發電機維修系統建置之研究

Study on Building a Maintenance System of Wind Turbine

施靜汝(Jing-Ru Shih)

指導教授 ： 蔡進發

國立臺灣大學/工學院/工程科學及海洋工程學研究所/碩士(2011年)

https://doi.org/10.6342/NTU.2011.02552

摘要

本研究以條件監控為基礎，以Vestas風機的錯誤記錄資料為範例完成風力發電機維修的邏輯分析與故障肇因查詢系統的建置。風機的維修邏輯首先透過風機的錯誤記錄資料，找出風機錯誤的對應類別，接著審視錯誤敘述，判斷此時風機之反應(Reaction)與回應(Acknowledgement)為何，再從錯誤訊息敘述中的訊號(Signal)、模組(Module)及參數(Parameter)來推論風機運作故障的原因。同時由風機的使用手冊中結合錯誤敘述和風機功能的分類，發展出一套錯誤訊號追蹤故障部位的邏輯，幫助故障部位的判斷。本研究以所建立的維修邏輯整合風機機組的實體資料，建立一風機故障肇因查詢系統，最後以台電的風機維修歷史經驗為例，驗證此系統的正確與可行。

關鍵字

條件監控 ； 風力發電機 ； 維修邏輯 ； 故障肇因查詢

並列摘要

Based on condition monitoring technology and by using the error log of the Vestas wind turbine, a logic of a wind turbine maintenance is proposed and a query system of wind turbine error causality is set up in this study. The first step of the logic of wind turbine maintenance is to identify the class of the error code created from wind turbine. After classifying the error code, the Reaction and Acknowledge of wind turbine will be checked, and the descriptions of error including Signal, Module, and Parameter will be examined. According to these examinations, the fault cause of a wind turbine can be determined. The fault part can be determined by combining the fault cause and the functional classification of the wind turbine. A query system of the wind turbine error causality is set up by integrating the proposed maintenance logic of the wind turbine and the entity database of the wind turbine. Finally, the examples of the query system of the wind turbine are validated by the real maintenance cases provided by the Vestas wind farm of the Taipower company. The examples of the validation show that the query system of the wind turbine error causality is suitable and reliable.

並列關鍵字

condition monitoring ； wind turbine ； error code ； maintenance logic

參考文獻

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