Abstract
In this article an algorithm is introduced as a method to detect and prevent erratic clamping conditions during the electric seat adjustment based only on rev signals of the adjusting motors. Features involving a clamping condition are characterized by the wavelet transform of the adjustment motor rev signal sent. Mapping of the symptoms to support the decision whether a clamping condition has occured or not is performed by a neural network.
| Titel in Übersetzung | Development of a operating safety feature for electric car seat adjusting systems |
|---|---|
| Originalsprache | Deutsch |
| Seiten (von - bis) | 604-614 |
| Seitenumfang | 11 |
| Fachzeitschrift | At-Automatisierungstechnik |
| Jahrgang | 55 |
| Ausgabenummer | 12 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2007 |
Schlagwörter
- Car
- Knowledge based diagnosis
- Neural net
- Prevention of clamping
- Seat adjusting system
- Wavelet transformation