C1.2 - Virtual Artificial Sensor to identify abnormal combustion phenomena in gasoline engines
- Event
- AMA Conferences 2013
2013-05-14 - 2013-05-16
Nürnberg - Band
- Proceedings SENSOR 2013
- Chapter
- C1 - Sensor Electronics I
- Author(s)
- M. Biehl, E. Perless - Robert Bosch GmbH, Schwieberdingen (Germany)
- Pages
- 340 - 345
- DOI
- 10.5162/sensor2013/C1.2
- ISBN
- 978-3-9813484-3-9
- Price
- free
Abstract
reconstructing physical values, which cannot be detected directly or only at high costs. Therefore methods from the field of Artificial Intelligence and statistics are combined in a Virtual Artificial Sensor (VAS) to create a basis for important Electrical Control Unit (ECU) algorithms. The influence of databases with an extremely uneven data distribution and data spectrums of high-variance is investigated. Standard measurements from various engines are processed to ensure a high generalizability of the model and the comparability to the results of the ECU. A noticeable increase of robustness against interferences resulting in an improved quality and a reduced parameterization effort is achieved by using the VAS.