Abstract
A diagnosis method based on gray level-gradient co-occurrence matrix was researched in this paper. This method was used to directly extract the features from graphics of rotating machinery by gray level-gradient co-occurrence matrix. And, fault diagnosis of rotating machinery was achieved by using artificial immune system. The test proves that this method can get high diagnosis accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 1939-1943 |
| Number of pages | 5 |
| Journal | Hangkong Dongli Xuebao/Journal of Aerospace Power |
| Volume | 23 |
| Issue number | 10 |
| State | Published - Oct 2008 |
| Externally published | Yes |
Keywords
- Fault diagnosis
- Gray-gradient co-occurrence matrix
- Parameters image
- Rotating machinery
- Texture feature
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