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研究生: 黃安華
An-Hwa Huang
論文名稱: 基於RC放電訊號分析之潤滑油品質檢測系統驗證
Validation of Lubricant Quality Inspection System based on RC Discharge Signal Analysis
指導教授: 劉孟昆
Meng-kun Liu
郭俊良
Chun-liang Kuo
口試委員: 劉孟昆
Meng-kun Liu
郭俊良
Chun-liang Kuo
藍振洋
Chen-yang Lan
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 96
中文關鍵詞: 潤滑油品質量測系統稼動轉數控制溫度黏度指標RC放電訊號經驗模態分析法希爾伯特黃轉換系統穩定性分析殘差分析
外文關鍵詞: Lubricating oil quality measurement system, Rotational speed, Control temperature, Viscosity index, RC discharge signal, Empirical mode decomposition, Hilbert-Huang transformation, System stability analysis, Residual analysis
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  • 摘要 I Abstract II 致謝 IV 目錄 V 圖目錄 VII 表目錄 X 1. 第一章、緒論 1 1.1 前言 1 1.2 文獻回顧 2 1.2.1 潤滑油的破壞機制 2 1.2.2 油膜品質分析方法 4 1.2.3 訊號分析 5 1.2.4 系統穩定性分析 6 1.2.5 特徵處理 7 1.2.6 機器學習 8 1.3 論文架構 10 2. 第二章、系統架設與實驗規劃 12 2.1 實驗材料 12 2.2 實驗設備 14 2.2.1 主要機構及量測儀器 14 2.2.2 極間放電物理特性 17 2.2.3 使用者介面及同步存檔 18 2.2.4 RC極間放電迴路 20 2.3 實驗流程 21 2.3.1 系統穩定性分析實驗 21 2.3.2 RC放電訊號擷取及分析實驗 24 3. 第三章、研究方法 26 3.1 系統的穩定性分析 26 3.2 RC極間放電規格設計 29 3.3 RC放電訊號分析 32 3.3.1 離散傅立葉轉換(Discrete Fourier Transform, DFT) 33 3.3.2 經驗模態分解(Empirical Mode Decomposition, EMD) 33 3.3.3 特徵提取 38 3.4 特徵預處理 44 3.5 特徵選擇 45 3.6 機械學習 47 3.6.1 支持向量機(Support Vector Machine, SVM) 47 3.6.2 K折交叉驗證(K-fold cross validation) 52 4. 第四章、實驗結果及分析 53 4.1 系統穩定性分析結果 53 4.2 訊號量測與分析結果 61 4.2.1 經驗模態分解結果 62 4.2.2 快速傅立葉分析結果 68 4.2.3 徵顯著度結果 69 4.2.4 特徵變化趨勢顯示 70 4.3 SVM分類結果 73 5. 第五章、結論與未來展望 76 5.1 結論 76 5.2 研究貢獻 77 5.3 未來展望 79 6. 參考文獻 81

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