Abstract
The speed sensor of the electro-mechanical transmission is the easiest to have fault, if the speed sensor breaks down, the control system of the electro-mechanical will be invalid. This paper presents a model-based method using unscented Kalman filter to diagnose the speed sensor fault First, the mathematical model of the system is established, subsequently, the unscented Kalman filter is used to estimate the state of measurements. Moreover, the residual errors of the estimated and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.
| Original language | English |
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| Pages | 604-608 |
| Number of pages | 5 |
| Publication status | Published - 2018 |
| Event | CSAA/IET International Conference on Aircraft Utility Systems, AUS 2018 - Guiyang, China Duration: 19 Jun 2018 → 22 Jun 2018 |
Conference
| Conference | CSAA/IET International Conference on Aircraft Utility Systems, AUS 2018 |
|---|---|
| Country/Territory | China |
| City | Guiyang |
| Period | 19/06/18 → 22/06/18 |
Keywords
- Electro-mechanical transmission
- Fault diagnosis
- Model-based method
- Speed sensor
- Unscented Kalman filter