Engine knock estimation using neural networks based on a real-world database

SAE Technical Papers

Volumn , Issue , 1998, Pages

  Ortmann, Stefan ^a   Rychetsky, Matthias ^a   Glesner, Manfred ^a   Groppo, Riccardo ^b   Tubetti, Paolo ^b   Morra, Gianluca ^b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b CENTRO RICERCHE FIAT   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; ENGINES;

ENGINE KNOCK; EXPERIMENTAL SET UP; KNOCK DETECTION; KNOCK TENDENCY; NEURAL NETWORK DETECTORS; REAL-WORLD DATABASE; STATISTICAL BEHAVIOR; VEHICLE TESTS;

FEATURE EXTRACTION;

EID: 85072459282     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/980513     Document Type: Conference Paper

References (16)

1. Checkel M.D., Dale J.D., Computerized knock detection from engine pressure records, SAE Techn. Paper 860028
2. Kaneyasu M., et al., Engine knock detection using multispectrum method, SAE Techn. Paper 920702
3. Samimy B., Rizzoni G., Engine knock analysis and detection using time frequency analysis, SAE Techn. Paper 960618
4. Horner T.G., Knock detection using spectral analysis techniques on a Texas Instrument TMS320 DSP, SAE Techn. Paper 960614
5. Krichel W., Klassifikation von Klopfsignalen eines Kö rperschallsensors bei Ottomotoren mit Methoden der Mustererkennung, Dissertation, Fakultät für Maschinenwesen, 1990, RWTH Aachen
6. Härle N., Analyse, Modellbildung und Detektion von Klopfsignalen im Körperschall von Ottomotoren, VDI Verlag, Reihe, Nr. 113, 1989
7. Rychetsky M., Ortmann S., Glesner M., Application of hierarchical mixtures of experts networks to engine knock detection, In Proceedings of EUFIT '97, pp. 1714-1718, Sept., 1997, Aachen
8. Groppo R., Ortmann S., et al., FILU: A Digital Filter Unit for Automotive Signal Conditioning, Proceedings of the Internation Embedded System Conference, pp. 101-112, Sept., 1996, Berlin
9. Ortmann S., Rychetsky M., Glesner M., Groppo R., Engine Knock Detection using Multi-Feature Classification by means of Non-Linear Mapping, In Procedings of ISATA 97, pp. 607-613, Juni, 1997, Florence
10. Ortmann S., Glesner M., Entwicklung und Realisierung eines neuronalen Klopfdetektors unter Verwendung von konstruktiven Lernmethoden, Workshop Fuzzy-Neuro Systems, pp. 162-169, 1997, Soest
11. Fahlman S., The Cascade-Correlation Learning Architecture, CMU-CS-90-100 Report, Carnegie Mellon University, Pittsburgh, 1990
12. Baluja S., Fahlman S., Reducing Network Depth in the Cascade-Correlation Learning Architecture, CMU-CS-94-209 Report, Carnegie Mellon University, Pittsburgh, 1994
13. Jordan, Jacobs R., Hierarchies of adaptive experts. In Moody J., Hanson S., Lippmann R., (eds.), Advances in Neural Information Processing 4. San Mateo, CA: Morgan Kaufmann. pp. 985-993. 1992
14. Mozer M.C., Smolensky P., Skeletonization: A technique for trimming the fat from a neural network via relevance assesment, pp. 107-115 in D.S. Touretzky: Advances in Neural Information Processing Systems (NIPS) 1, Morgan Kaufman Publishers Inc., San Mateo, 1989
15. Fukunaga K., Statistical Pattern Recognition, Academic Press, Harcourt Brace Javanovich Publishers, 1990
16. Hornik K., Stinchcombe M., et al., Multilayer Feedforward Networks are Universal Approximators, Neural Networks, vol. 2, pp. 359-366, 1989