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研究生:吳憲璋
研究生(外文):Hsien-Chang Wu
論文名稱:往復式壓縮機閥門振動監測與故障診斷系統之建立
論文名稱(外文):Vibration Monitoring and Fault Diagnosis for Valves of Reciprocating Compressors
指導教授:林益煌林益煌引用關係
指導教授(外文):Yih-Hwang Lin
學位類別:碩士
校院名稱:國立海洋大學
系所名稱:機械與輪機工程學系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:107
中文關鍵詞:振動監測故障診斷往復式壓縮機
外文關鍵詞:vibration monitoringfault diagnosisreciprocating compressors
相關次數:
  • 被引用被引用:2
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為了避免設備的無預警停機、故障及提昇工作環境品質,在設備上建立一套故障監診系統是必要的。閥門損壞為往複式壓縮機常見之故障,本研究將針對一部運轉中的往復式壓縮機閥門,建立一線上監診系統。因往復式壓縮機振動訊號為時變、非穩態訊號,傳統的傅立葉轉換將無法提供足夠訊息以供判別,因此需借助時頻分析技術。而短時距傅立葉轉換屬於線性時頻分析,受不確定準則影響,有解析度不佳的困擾。若以二次式時頻分佈函數作振動訊號分析工具,必須考慮干擾項之影響,因此必須選擇一適當核心函數作為去除干擾項之濾波器。本研究將以再分佈之平滑式假性韋格納-威利分佈函數作為分析工具,最後以機率類神經網路作為訊號的分類及比對工作,完成設備故障之監診系統。

To avoid unexpected down time or fault of equipment and to improve the quality of working environment, it is necessary to establish a fault detection and diagnosis system. Valve damage is a common fault in reciprocating compressors. An on line fault detection and diagnosis system will be developed in this study for valves of a reciprocating compressor which is in service. The traditional Fourier transform can not provide sufficient information for decision making due to the time-varying and non-stationary characteristics of the valve vibration signals of the reciprocating compressors. Time-frequency analysis technique is then crucial for successful treatment. The short time Fourier transform belongs to the class of linear time-frequency analysis and is subject to the constraint of uncertainty principle. Therefore, its time-frequency analysis resolution is quite limited. On the other hand, when applying the quadratic time-frequency distribution function for analysis of vibration signals, it is necessary to consider the effects of disturbances. The selection of an appropriate kernel to serve as a filter is crucial for removing the disturbances. This study applies the reassigned smooth pseudo Wigner-Ville distribution function as an analysis tool. The probabilistic neural network is applied to classify and signal class, which completes the establishment of the fault detection and diagnosis system.

第一章 緒論 1
1.1 簡介與研究動機 …………………………………………………… 1
1.2 相關研究與重點 …………………………………………………… 3
1.3 章節內容概要 ……………………………………………………… 5
第二章 閥門分析 7
2.1 閥片模態分析……………………………………………………… 7
2.1.1 閥門構造……………………………………………………… 7
2.1.2 模態測試……………………………………………………… 8
2.2 有限元素模型建立與驗證 ……………………………………… 11
2.2.1 有限元素模型參數 ………………………………………… 11
2.2.2 ANSYS分析結果……………………………………………… 12
2.2.3 模態測試與ANSYS分析比對………………………………… 13
2.3 受拘束閥門之動態分析 ………………………………………… 14
2.3.1 正常閥片之分析 …………………………………………… 14
2.3.2 彈簧變異與閥片破裂之分析 ……………………………… 16
第三章 訊號的線性處理與轉換 36
3.1 時域平均技術 …………………………………………………… 36
3.2 傅立葉轉換 ……………………………………………………… 37
3.3 線性時頻分析 …………………………………………………… 38
3.4 壓縮機訊號處理 ……………………………………………… 39
第四章 二次式時頻分佈函數 54
4.1 時頻分佈函數 …………………………………………………… 54
4.1.1 韋格納分佈函數 …………………………………………… 54
4.1.2 時頻分佈函數之通式 ……………………………………… 55
4.1.3 核心函數 …………………………………………………… 58
4.2 再分佈原理 ……………………………………………………… 59
4.3 壓縮機訊號時頻分析 …………………………………………… 61
第五章 訊號識別 72
5.1 機率類神經網路 ………………………………………………… 72
5.2 PNN比對因子……………………………………………………… 75
5.3 壓縮機振動訊號比對 …………………………………………… 76
第六章 結論 100
參考文獻 ………………………………………………………………… 103

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