This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Frequency Coupling Analysis in Spark Ignition Engine Using Bispectral Method and Ensemble Empirical Mode Decomposition
Technical Paper
2022-01-0481
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Internal combustion (IC) engines are the current dominant power source used in the automotive industry for hybrid vehicles. The combustion process of IC engines involves various parameters, which are linked to the overall performance of the driveline. Therefore, finding the frequency coupling between the manifold pressure, in-cylinder pressure and output crankshaft speed will provide an insight into the reasons for torque fluctuations and its effect on driveline performance. The present work introduces a methodology to analyze cylinder pressure, manifold pressure and instantaneous crank speed signals measured from a 4 cylinder, 1.6 Litre, Gasoline Direct Injection Engine at different speed conditions to identify the frequency coupling between these signals. This work uses Ensemble Empirical Mode Decomposition (EEMD) as a de-noising method and Bispectral analysis for examining the presence of a frequency coupling from the signals. This paper will demonstrate a systematic approach followed for employing EEMD and Bispectral analysis in a GDI engine for deriving frequency coupling details and its significance.
Recommended Content
Topic
Citation
El Yacoubi, I. and Samuel, S., "Frequency Coupling Analysis in Spark Ignition Engine Using Bispectral Method and Ensemble Empirical Mode Decomposition," SAE Technical Paper 2022-01-0481, 2022, https://doi.org/10.4271/2022-01-0481.Also In
References
- Heywood , J. Internal Combustion Engine Fundamentals 1st 1-10 New York [etc.] McGraw-Hill 1988 0-07-028637-X
- Sellnau , M. , Matekunas , F. , Battiston , P. , Chang , C. et al. Cylinder-Pressure-Based Engine Control Using Pressure-Ratio-Management and Low-Cost Non-Intrusive Cylinder Pressure Sensors SAE Technical Paper 2000-01-0932 2000 https://doi.org/10.4271/2000-01-0932
- Doggett , W. Jun 28, 2010
- Jorques Moreno , C. , Stenlåås , O. , and Tunestål , P. In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections for Maximum Indicated Efficiency IFAC-PapersOnLine 51 31 2018 92 98 10.1016/j.ifacol.2018.10.018
- Cesario , N. , Tagliatatela , F. , and Lavorgna , M. Methodology for Misfire and Partial Burning Diagnosis in SI Engines IFAC Proc. 39 16 2006 1024 1028 10.3182/20060912-3- DE-2911.00176
- Horner , T. Knock Detection Using Spectral Analysis Techniques on a Texas Instruments TMS320 DSP SAE Technical Paper 960614 1996 https://doi.org/10.4271/960614
- Taglialatela , F. , Lavorgna , M. , Mancaruso , E. , and Vaglieco , B. Determination of Combustion Parameters Using Engine Crankshaft Speed Mechanical Systems and Signal Processing 38 2 2013 628 633 10.1016/j.ymssp.2012.12.009
- Rizzoni , G. Diagnosis of Individual Cylinder Misfires by Signature Analysis of Crankshaft Speed Fluctuations SAE Technical Paper 890884 1989 https://doi.org/10.4271/890884
- Citron , S. , O'Higgins , J. , and Chen , L. Cylinder by Cylinder Engine Pressure and Pressure Torque Waveform Determination Utilizing Speed Fluctuations SAE Technical Paper 890486 1989 https://doi.org/10.4271/890486
- Tsironas , S. , Stenlaas , O. , Apell , M. , and Cronhjort , A. Heavy-Duty Engine Intake Manifold Pressure Virtual Sensor SAE Technical Paper 2019-01-1170 2019 https://doi.org/10.4271/2019-01-1170
- Wu , J. , Huang , C. , Chang , Y. , and Shiao , Y. Fault Diagnosis for Internal Combustion Engines Using Intake Manifold Pressure and Artificial Neural Network Elsevier 37 2 2010 949 958 10.1016/j.eswa.2009.05.082
- Reß , J. , Bohn , C. , Märzke , F. , Meinecke , R. et al. Inversion-Based Intake Manifold Pressure Control System for Modern Diesel Engines SAE Int. J. Engines 7 3 2014 1539 1546 https://doi.org/10.4271/2014-01-1709
- Kirsten , M. , Pirker , G. , Redtenbacher , C. , Wimmer , A. et al. Advanced Knock Detection for Diesel/Natural Gas Engine Operation SAE Int. J. Engines 9 3 2016 1571 1583 https://doi.org/10.4271/2016-01-0785
- Wu , Z. and Huang , N. Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method World Scientific 1 1 2009 1 41 10.1142/S1793536909000047
- Gaci , S. A New Ensemble Empirical Mode Decomposition (EEMD) Denoising Method for Seismic Signals Energy Procedia 97 2016 85 91 10.1016/j.egypro.2016.10.026
- Huang , N. , Shen , Z. , Long , S. , Wu , M. et al. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis The Royal Society Publishing 454 1971 903 995 10.1098/rspa.1998.0193
- Zhang , M. and Wei , G. An Integrated EMD Adaptive Threshold Denoising Method for Reduction of Noise in ECG PLoS ONE 15 no. 7 2020 10.1371/journal.pone.0235330
- Morella , G. A Review of Signal Detection Using the Bispectrum with Applications in Underwater Acoustics The Pennsylvania State University January 1994 https://apps.dtic.mil/dtic/tr/fulltext/u2/a275227.pdf
- Sharmila , K. , Krishna , E. , Komalla , N. , and Reddy , K. Use of Higher Order Spectral Analysis for the Identification of Sudden Cardiac Death IEEE 2012 10.1109/MeMeA.2012.6226674
- Halim , E. , Choudhury , M. , Shah , S. , and Zuo , M. Fault Detection of Rotating Machinery from Bicoherence Analysis of Vibration Data IFAC Proceedings 39 13 2006 1348 1353 10.3182/20060829-4-CN-2909.00225
- Fackrell , J. 1996
- Cherneva , Z. , Andreeva , N. , Petrova , P. Bi-Spectral Analysis of Wind Wave in the Black Sea Coastal Zone 7th International Conference on Marine Sciences and Technologies Black Sea 2004 Varna, Bulgaria October 7-9, 2004
- Persson , L. , Lennartsson , R. , Robinson , J. , and McLaughlin , S. Quadratic Phase Coupling Analysis of Passive Sonar Data Using Biphase Techniques OCEANS 2000 MTS/IEEE Conference and Exhibition, Conference Proceedings 2000 1053 1057 2 10.1109/OCEANS.2000.881740
- Hany , F. 1999 https://dspace.mit.edu/handle/1721.1/6678
- Dubnov , S. 1996
- Tjandrasa , H. , Djanali , S. , and Arunanto , F. Feature Extraction Using Combination of Intrinsic Mode Functions and Power Spectrum for EEG Signal Classification IEEE 2016 10.1109/CISP-BMEI.2016.7852954
- Archer , A. and McCarthy , J. Jr. Quantification of Diesel Engine Vibration Using Cylinder Deactivation for Exhaust Temperature Management and Recipe for Implementation in Commercial Vehicles SAE Technical Paper 2018-01-1284 2018 https://doi.org/10.4271/2018-01-1284
- Brooks , D. and Nikias , C. The Cross-Bicepstrum: Definition, Properties, and Application for Simultaneous Reconstruction of Three Nonminimum Phase Signals IEEE Transactions on Signal Processing 41 7 1993 2389 2404 10.1109/78.224248
- Roa , T. and Gabr , M. An Introduction to Bispectral Analysis and Bilinear Time Series Models 1st Springer US New York, NY 1984 978-1-4684-6318-7
- Newman , J. , Pidde , A. , and Stefanovska , A. Defining the Wavelet Bispectrum, Applied and Computational Harmonic Analysis 51 March 2021 171 224
- Poloskei , P. , Papp , G. , Por , G. , Horvath , L. et al. Bicoherence Analysis of Nonstationary and Nonlinear Processes ArXiv November 2018 https://arxiv.org/pdf/1811.02973.pdf