經驗模態分解法於渦輪幫浦軸承故障診斷研究

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姓名

李逸凡(Yi-Fan Li) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

經驗模態分解法於渦輪幫浦軸承故障診斷研究
(Fault Diagnosis of Turbo-pump Bearings Using Empirical Mode Decomposition)

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摘要(中)

本文主要應用經驗模態分解法於渦輪幫浦軸承故障診斷。研究初期設計軸承
缺陷模擬訊號進行技術開發及驗證，接著以放電加工與細孔加工方法製作軸承內
環及外環缺陷，分別實現在雙面轉子系統及渦輪幫浦實驗平台，用以確認技術之
實用性。研究中藉由經驗模態分解法不需定義其基本函數及轉換式之特性，改善
傳統帶通濾波包絡解調法缺點，避免實驗對象之結構共振頻率求取不易與帶通濾
波範圍選取容易受到主觀影響並造成包絡譜分析結果之差異。最後，比較以經驗
模態分解改良之包絡譜分析方法及傳統包絡譜分析方法之分析結果，進而探討兩
者間之優劣。本文說明發展在線式軸承監測診斷方法之實用性，未來可應用於其
他旋轉機器之故障診斷。

摘要(英)

This thesis applies empirical mode decomposition in fault diagnosis of
turbo-pump bearings. In the initial stage design simulation signals of fault bearing and
do technical development as well as verify, next by electrical discharge machining and
electrical discharge machining of deep hole in inner-ring and outer-ring of bearing to
make defects technique for realizing the technique of breakdown diagnosis on
two-plane rotor system and turbo-pump platform. Empirical mode decomposition no
need to define basic function and transformation, which cause the defect of
conventional envelope analysis with band-pass filtering could be improved during the
research. With this character could the following phenomena be avoid: first, the hard
obtainment about resonance frequency of subject; second, range of band-pass filtering
could be easily influenced by subject in the time of choosing and result in the
difference to result of envelope analysis. In the end compare the analysis from
envelope analysis algorithm of empirical mode decomposition and the technique of
conventional envelope analysis, then to discuss the advantage and deficiency between
them. This thesis explains the practicality in development of on-line diagnosis
technique of bearing monitoring, and in the future could be applied to other rotating
machines for fault diagnosis.

關鍵字(中)

★ 軸承故障診斷
★ 經驗模態分解法
★ 包絡譜分析
★ 渦輪幫浦
★ 本質模態函數

關鍵字(英)

★ Empirical Mode Decomposition
★ envelope analysis
★ turbo-pump
★ fault diagnosis
★ Intrinsic Mode Function

論文目次

摘要......................................................................................................... I
Abstract ......................................................................................................II
致謝.......................................................................................................III
目錄...................................................................................................... IV
圖目錄...................................................................................................... VI
表目錄........................................................................................................X
第一章緒論...............................................................................................1
1.1 研究動機.........................................................................................................1
1.2 文獻回顧.........................................................................................................2
1.3 研究範疇.........................................................................................................5
第二章軸承缺陷型態與包絡譜分析基礎..............................................6
2.1 滾珠軸承缺陷型態及特徵頻率.....................................................................6
2.2 包絡譜分析基礎...........................................................................................12
2.2.1 解析訊號............................................................................................12
2.2.2 缺陷訊號之調變與解調....................................................................14
2.3 經驗模態分解法...........................................................................................19
2.3.1 時間尺度與自適應性........................................................................23
2.3.2 完整性................................................................................................24
2.3.3 本質模態函數....................................................................................25
第三章經驗模態分解法實現與模擬訊號分析....................................26
3.1 軸承缺陷模擬訊號製作介面.......................................................................26
3.2 經驗模態分解結合包絡譜分析法之實現...................................................31
3.3 模擬訊號分析討論.......................................................................................33
3.3.1 模擬軸承發生外環缺陷....................................................................33
3.3.2 模擬軸承發生內環缺陷....................................................................36
3.3.3 模擬缺陷混合存在型態....................................................................38
第四章軸承缺陷狀態檢測實驗............................................................45
4.1 訊號量測系統...............................................................................................45
4.2 實驗平台簡介...............................................................................................48
4.2.1 雙面轉子系統....................................................................................48
4.2.2 渦輪幫浦實驗平台............................................................................51
4.3 實驗參數與設計...........................................................................................54
4.3.1 雙面轉子系統....................................................................................54
4.3.2 渦輪幫浦實驗平台............................................................................55
4.4 檢測分析結果...............................................................................................57
4.4.1 雙面轉子系統....................................................................................57
4.4.2 渦輪幫浦實驗平台............................................................................78
4.5 分析結果討論...............................................................................................88
第五章結論及未來展望........................................................................92
參考文獻...................................................................................................94
附錄A：實驗數據EMD分解結果...........................................................97
附錄B：EMD模態混合現象.................................................................113

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指導教授

王有任、潘敏俊
(Yu-Zane Wang、Min-Chun Pan)

審核日期

2007-10-11

推文