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2007年09 期
| 標題 |
| 基于支持向量機的機車軸承故障診斷方法(16 卷) |
| 英文標題 |
| Fault diagnosis approach of locomotive bearing based on support vector machine |
| 摘要 |
| 通過對機車軸承振動信號的分析處理，提出了基于支持向量機（SVM）的故障診斷方法，提取反映軸承運行狀態(tài)的無量綱系數作為故障的特征向量，并以此作為輸入來建立支持向量機分類器，利用SVM網絡的智能性來判斷機車軸承的工作狀態(tài)和故障類型。實驗結果表明，提出的方法在小樣本 |
| 作者 |
| 新聞作者:危韌勇，耿永強 |
| 關鍵字 |
