This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Analysis of Spark Ignition Engine Knock Signals using Fourier and Discrete Wavelet Transform
Technical Paper
2009-36-0312
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The most important challenge in knock detection is to detect its intensity. Depending on the phenomenon characteristic the spark ignition calibration can be optimized. For this reason, the scope of this paper is the use the Discrete Wavelet Transform (DWT) as a tool to analyze knock signals characteristics in the time-scale decomposition. A brief description of the Short-Time Fourier Transform (STFT) analysis and comparisons between Fourier analysis and DWT are also shown.
Time-frequency analysis methods have become more usual in recent years and can be applied in different areas of the automotive field, such as noise, vibration and powertrain calibration. Due to the demand vehicles with better performance, fuel economy and emissions; the signal analysis tools have been important to optimize the system functionality, such as driveability and knocking. The knock is an undesired phenomenon and it is generated by the shock of flame fronts in the combustion chamber. The excessive cylinder peak pressure and fuel low octane number are the possible root causes that lead to knock occurrence. The phenomenon is detected by the presence of instability in the cylinder pressure curve of the spark-ignition engine, which can be measured through the vibration on the engine block.
The knock signal is considered as a non-stationary event (time-varying) and its main characteristics are the short period of time and the contained of high frequencies. However, these characteristics are often the most important part of the signal and Fourier analysis is not suited to detect the signal intensity. The Wavelet analysis allows the use of both long time intervals where we want more precise low-frequency information, and shorter regions where we want to emphasize high-frequency information and seems to be a good candidate to characterize the knocking phenomena.
Recommended Content
Authors
Citation
Gerardin, R., Huallpa, B., Alves, M., and de França Arruda, J., "Analysis of Spark Ignition Engine Knock Signals using Fourier and Discrete Wavelet Transform," SAE Technical Paper 2009-36-0312, 2009, https://doi.org/10.4271/2009-36-0312.Also In
References
- Zhang, Z. Tomota, E. A New Diagnostic Method of Knocking in a Spark-Ignition Engine Using the Wavelet Transform SAE Technical Papers Series 2000-01-1801
- Zhang, Z. Tomota, E. Diagnostic of Knocking by Wavelet Transform Method Utilizing Real Signal as Mother Wavelet SAE Technical Papers Series 2001-01-3546
- Noubari, H. A. Dumont, G. A. Towards an Improvement Knock Detection and Quantification using Wavelets and Entropy-based Noise Compensation SAE Technical Papers Series 2005-01-2269
- Zhu, X. Kim, J. Application of the Analytic Wavelet Transform for Time-Frequency Analysis of Impulsive Sound Signals SAE Technical Papers Series 2005-01-2391
- Qian, S. Introduction to Time-Frequency and Wavelet Transform Prentice Hall PTR 2002
- Borg, J. M. Saikalis, G. Oho, S. Cheok, K. C. Knock Signal Analysis Using the Discrete Wavelet Transform SAE Technical Papers Series 2006-01-0226
- Brunt, M. F. J. Biundo, J. Pond, C. R. Gasoline Engine Knock Analysis using Cylinder Pressure Data SAE Technical Papers Series 980896