Abstract
It is rather difficult to extract the state characters of helicopter from on-line monitoring, so a new approach which suits for on-line state monitoring of helicopter transmission system is presented. Based on the negative-selection mechanism of the natural immune system, the approach combined with artificial neural network adopts the improved negative selection algorithm for monitoring. The state characters of helicopter transmission system is extracted effectively through the new approach. Combined with the practice of helicopter transmission system, it can exactly reflect the abnormal degree of helicopter. The result of on-line monitoring example shows that the approach can exactly detect the degree of abnormality of helicopter transmission system and has better on-line quality, accuracy and robustness.
| Original language | English |
|---|---|
| Pages (from-to) | 739-744 |
| Number of pages | 6 |
| Journal | Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica |
| Volume | 28 |
| Issue number | 3 |
| State | Published - May 2007 |
| Externally published | Yes |
Keywords
- Artificial immune system
- Helicopter
- Negative selection algorithm
- On-line monitoring
- Transmission system
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