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研究生:陳世凱
研究生(外文):Sh Kai Chen
論文名稱:應用誤差同步檢測與可拓方法於三相同步發電機之故障診斷
論文名稱(外文):Application of Error Synchronization Detection and Extension Method for Fault Diagnosis of Three - Phase Synchronous Generators
指導教授:王孟輝王孟輝引用關係
指導教授(外文):Meng-Hui Wang
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:電機工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:70
中文關鍵詞:可拓方法混沌理論三相同步發電機混沌眼
外文關鍵詞:Extension diagnosis methodChaos theoryThree - phase synchronous generatorChaos eyes
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本論文提出以可拓方法結合混沌理論應用於三相同步發電機之故障診斷,參考國際電機電子協會相關文獻統計,以最常發生的事故作為故障類型的分類,包含碳刷故障、三相不平衡與絕緣劣化等進行故障診斷。藉由示波器針對每一種類進行電壓及電流訊號的量測與擷取,並用Matlab撰寫混沌同步檢測演算程式,再將量測到的訊號透過混沌同步檢測運算產生混沌誤差散佈圖,以獲得各類故障種類之混沌眼座標特徵,再以可拓診斷方法診斷三相同步發電機的故障狀況。本方法經由實測分析結果顯示,其診斷之平均準確率達100%,此外在加入±10%雜訊量時,仍可達74%之準確率。本研究所提出之方法除可有效辨識三相同步發電機之故障類型外,可大幅減少特徵擷取資料量,更能有效地檢測訊號的微小變動,即時監測三相同步發電機之運轉狀態。
This thesis proposes a fault diagnosis method based on the extension method combined with the chaos theory to applied in the three-phase synchronous generator. Firstly, according to the related statistics of the Institute of Electrical and Electronics Engineers (IEEE), the most common accident is used for the classification of fault types, including carbon brush failure, three-phase imbalance and insulation degradation. The signals of the fault types were measured by a high frequency oscilloscope, and use Matlab to write chaos synchronization detection algorithm to obtain the Chaotic eye features of the fault type. Second, the X-Y coordinates of the Chaotic eyes were used as the clustering features for fault diagnosis, and used the extension daignosis method to diagnose the fault type of three-phase synchronous generators. The results of this proposed method show that the average accuracy of the diagnosis is 100%, and the accuracy is still 74% when ± 10% of the amount of noise is added. The proposed method can greatly reduce the amount of features extraction data, and more effectively detect the small changes of the fault's signal, which can be used the real-time monitoring tool of the three-phase synchronous generator.
中文摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
符號說明 IX
第一章緒論 1
1. 1 研究動機 1
1. 2 文獻回顧 6
1. 3 論文架構 7
第二章同步發電機故障診斷系統架構 9
2. 1三相同步發電機故障診斷系統架構 9
2. 2正常三相同步發電機 11
2. 3碳刷故障之三相同步發電機 13
2. 4三相不平衡發電同步發電機 15
2. 5絕緣劣化三相同步發電機 17
第三章系統診斷方法 20
3. 1混沌理論 21
3.1.1羅倫茲主僕系統 21
3.1.2混沌眼特徵擷取 22
3. 2本文所提診斷方法 23
3.2.1 可拓理論 24
3.2.2可拓診斷方法 25
3. 3倒傳遞類神經演算法 33
3.3.1 架構設定 34
第四章實測結果與討論 38
4.1人機介面功能 38
4.1.1電壓與電流數據讀取 38
4.1.2數據讀取 39
4.1.3混沌圖計算與顯示 40
4.1.4故障辨識診斷 40
4. 2發電機故障類別診斷之實測結果 41
4. 3故障類別辨識之實測結果 48
第五章三相同步發電機實驗結論及未來展望 52
5. 1實驗結論 52
5. 2 未來展望 53
參考文獻 54
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