在馬達的電流波形上使用Fisher’s線性鑑別分析法-辨識馬達的品質類別

Fisher’s Linear Discriminant Analysis Method for Motor Quality Types on Current Waveforms

楚萃瑤(Tsui-Yao Chu)

指導教授 ： 葉雲奇 ； 林高洲

健行科技大學/電資學院/電子工程系碩士班/碩士(2014年)

https://doi.org/10.6824/UCH.2014.00027

摘要

本論文提出一個分析馬達電流波形並有效辨識馬達品質類別的方法，稱之為Fisher’s Linear Discriminant Analysis (Fisher’s LDA)法。本論文之Fisher’s LDA法是由下列三大單元所組成，分別為：(1)馬達信號的前置處理：包含馬達電流波形信號的擷取、雜訊的去除、信號的放大、類比/數位信號的轉換、電腦介面電路的設計等；(2)主要特徵點的選取與主要特徵值的統計：本論文以區間交集法(Range-Overlap Method，ROM)在眾多的原始特徵點中選取主要特徵點，並使用統計的方式計算主要特徵點之特徵值範圍，包含特徵值的最小值、最大值、算數平均值等；(3)辨識馬達品質的類別：本論文以Fisher’s LDA演算法辨識馬達品質的類別。依據實際的測試結果，本論文提出之Fisher’s LDA法性能如下：將「好的馬達」辨識成是「好的馬達」之平均正確率是99.92%，將「壞的馬達」正確辨識成是「壞的馬達」的正確率是92.43%，將「壞的馬達」辨識成是「好的馬達」的錯誤率是7.57%，將「好的馬達」辨識成是「壞的馬達」之錯誤率是0.08%。總平均正確辨識率為99.72%。

關鍵字

Fisher’s 線性鍵別分析法 ； 特徵點選取 ； 直流馬達

並列摘要

This study proposes a Fisher’s Linear Discriminant Analysis (Fisher’s LDA) approach to analyze current waveform for determining the motor’s quality types. Fisher’s LDA comprises three main stages: (i) the preprocessing stage for enlarging motor’s current waveforms’ amplitude and eliminating noises; (ii) the qualitative features stage for qualitative feature selection of a motor’s current waveform; (iii) the classification stage for determining motor’s quality types using the Fisher’s LDA. In the experiment, the right rate is 99.92% (92.43%) for right judgment on good (defect) motor to be determined as good (defect), the error rate is 7.57%% (0.08%) for wrong judgment on defect (good) motor to be determined as good (defect). The average right rate is 99.72%.

並列關鍵字

Fisher’s LDA ； feature selection ； DC motor

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