Separation of combustion noise and piston-slap in diesel engine—Part II: Separation of combustion noise and piston-slap using blind source separation methods
| Autor: | M. El Badaoui, Christine Serviere, Jean-Louis Lacoume |
|---|---|
| Přispěvatelé: | Laboratoire des images et des signaux (LIS), Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Analyse des Signaux et des Processus Industriels (LASPI), Université Jean Monnet [Saint-Étienne] (UJM) |
| Rok vydání: | 2005 |
| Předmět: |
Engineering
Acoustics Aerospace Engineering 02 engineering and technology Diesel engine 01 natural sciences Blind signal separation law.invention Piston Signal-to-noise ratio [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0203 mechanical engineering law 0103 physical sciences 010301 acoustics ComputingMilieux_MISCELLANEOUS Civil and Structural Engineering Signal processing business.industry Mechanical Engineering Computer Science Applications 020303 mechanical engineering & transports Internal combustion engine Control and Systems Engineering Frequency domain Signal Processing business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Energy (signal processing) |
| Zdroj: | Mechanical Systems and Signal Processing Mechanical Systems and Signal Processing, Elsevier, 2005, 19 (6), pp.1218-1229. ⟨10.1016/j.ymssp.2005.08.026⟩ |
| ISSN: | 0888-3270 1096-1216 |
| DOI: | 10.1016/j.ymssp.2005.08.026 |
| Popis: | This paper is devoted to blind separation of combustion noise and piston-slap in diesel engines. The two phenomena are recovered only from signals issued from accelerometers placed on one of the cylinders. A blind source separation (BSS) method is developed, based on a convolutive model of non-stationary mixtures. We introduce a new method based on the joint diagonalisation of the time varying spectral matrices of the observation records and a new technique to handle the problem of permutation ambiguity in the frequency domain. This method is then applied to real data and the estimated sources are validated by several physical arguments. So, the contribution of the piston-slap and the combustion noise can be recovered for all the sensors. The energy of the two phenomena can then be given with regards to the position of the accelerometers. |
| Databáze: | OpenAIRE |
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