Abstract
An improved particle filter method is proposed for improving damage identification of the aircraft landing gear. First, we establish landing gear model and analyze its dangerous point to obtain the stress signal. Then, kernel smoothing technology and fast Gaussian sampling method are used to estimate the states and parameters of nonlinear system. This method can accurately identify the landing gear damage. The experimental results and their analysis confirm preliminarily that the proposed method outperforms the traditional method.
| Original language | English |
|---|---|
| Pages (from-to) | 397-400 |
| Number of pages | 4 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 31 |
| Issue number | 3 |
| State | Published - Jun 2013 |
Keywords
- Damage detection
- Fast Gaussian sampling method
- Flowcharting
- Improved particle filter
- Kernel smoothing
- Landing gear (aircraft)
- Mathematical models
- Nonlinear systems
- Parameter estimation
- State estimation