Analysis of the Influence of Image Processing, Feature Selection, and Decision Tree Classification on Noise Separation of Electric Vehicle Powertrains

Journal Article
10-07-01-0002
ISSN: 2380-2162, e-ISSN: 2380-2170
Published September 23, 2022 by SAE International in United States
Analysis of the Influence of Image Processing, Feature Selection, and
                    Decision Tree Classification on Noise Separation of Electric Vehicle
                    Powertrains
Sector:
Citation: Fröhlingsdorf, K., Dreßen, M., Pischinger, S., Steffens, C. et al., "Analysis of the Influence of Image Processing, Feature Selection, and Decision Tree Classification on Noise Separation of Electric Vehicle Powertrains," SAE Int. J. Veh. Dyn., Stab., and NVH 7(1):23-33, 2023, https://doi.org/10.4271/10-07-01-0002.
Language: English

References

  1. VDA—Verband der Automobilindustrie Analysen zur Automobilkonjunktur 2020 (Engl.: Analysis of the Automobile Industry 2020) Berlin, Germany Verband der Automobilindustrie e.V. 2021
  2. Putner , J. and Arsic , D. Investigation of NVH Phenomena at Electric Vehicles ATZ Extra 2018 38 42
  3. Ueda , M. , Hanazaki , S. , Takahashi , H. , and Hiroe , M. Auditory Evaluation of Very-High-Frequency Sounds Radiated from the Japanese Trains Part 2 Proceedings of the 23rd International Congress on Acoustics Aachen, Germany 2019
  4. Lennström , D. , Lindbom , T. , and Nykänen , A. Prominence of Tones in Electric Vehicle Interior Noise Internoise Innsbruck, Austria 2013
  5. Genuit , K. Future Acoustics of Electric-Vehicle SAE Technical Paper 2012-36-0612 2012 https://doi.org/10.4271/2012-36-0612
  6. Cerrato , G. Automotive Sound Quality - Powertrain, Road and Wind Noise Sound & Vibration 43 4 2009 16 24
  7. Schumann , C. , Doleschal , F. , Pischinger , S. , and Verhey , J. Separation, Allocation and Psychoacoustic Evaluation of Vehicle Interior Noise SAE Technical Paper 2019-01-1518 2019 https://doi.org/10.4271/2019-01-1518
  8. Riegel , M. Wind Noise—A Dominant Source for In-Cabin Noise in Comparison to Other Noise Sources of a Vehicle CFA/DAGA Strasbourg 2004
  9. Süße , H. and Rodner , E. Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin (Engl.: Image Processing and Object Detection—Computer Vision in Industry and Medicine) Wiesbaden Springer Vieweg 2014 10.1007/978-3-8348-2606-0
  10. Handels , H. Medizinische Bildverarbeitung (Engl.: Medical Image Processing) Wiesbaden Vieweg + Teubner 2009 978-3-8351-0077-0
  11. Gonzales , R.C. and Woods , R.E. Digital Image Processing Essex Pearson Education Limited 2018 1-292-22304-9
  12. Hough , P.V.C. 1962
  13. Hardzeyeu , V. and Klefenz , F. On Using the Hough Transform for Driving Assistance Applications 4th International Conference on Intelligent Computer Communication and Processing (ICCP) Cluj-Napoca, Romania 2008 10.1109/ICCP.2008.4648359
  14. Park , H. Lane Detection Algorithm Based on Hough Transform for High-Speed Self Driving Vehicles International Journal of Web and Grid Services 15 3 2019 240 250 10.1504/IJWGS.2019.100835
  15. Matos I. , Krpic Z. and Romic K. The Speed Limit Road Signs Recognition Using Hough Transformation and Multi-Class Svm 2019 International Conference on Systems, Signals and Image Processing (IWSSIP) Osijek, Croatia 2019 10.1109/IWSSIP.2019.8787249
  16. Jin , M. and Deng , W. Prediction of Different Stages of Alzheimer’s Disease Using Neighborhood Component Analysis and Ensemble Decision Tree Journal of Neuroscience Methods 302 2018 35 10.1016/j.jneumeth.2018.02.014
  17. Yang , W. , Wang , K. , and Zuo , W. Neighborhood Component Feature Selection for High-Dimensional Data Journal of Computers 1 1 2012 161 168 10.4304/jcp.7.1.161-168
  18. Kenneth , O.M. , Bashir , S.A. , Abisoye , O.A. , and Mohammed , A.D. Face Morphing Attack Detection in the Presence of Post-processed Image Sources Using Neighborhood Component Analysis and Decision Tree Classifier Computational Science and Its Applications—ICCSA 2021 Cagliari, Italy 2021 10.1007/978-3-030-69143-1_27
  19. Gieras , J.F. , Wang , C. , and Lai , J.C. Noise of Polyphase Electric Motors Boca Raton, FL CRC Press - Taylor & Francis Group 2006 0-8247-2381-3
  20. Zeller , P. Handbuch Fahrzeugakustik (Engl.: Handbook Vehicle Acoustics) Wiesbaden, Germany Vieweg+Teubner Verlag - Springer Fachmedien 2012 978-3-8348-1443-2
  21. Bradley , D. and Roth , G. Adaptive Thresholding Using the Integral Image Journal of Graphics GPU and Game Tools 12 2 2007 13 21 10.1080/2151237X.2007.10129236
  22. Duda , R.O. and Hart , P.E. Use of the Hough Transformation To Detect Lines and Curves in Pictures Graphics and Image Processing 15 1 1972 11 15
  23. Blough , J.R. Understanding the Kalman/Vold-Kalman Order Tracking Filters’ Formulation and Behavior SAE Technical Paper 2007-01-2221 2007 https://doi.org/10.4271/2007-01-2221
  24. Guyon , I. and Elisseeff , A. An Introduction to Variable and Feature Selection Journal of Machine Learning Research 3 2003 1157 1182 10.5555/944919.944968
  25. Ruggieri , S. Complete Search for Feature Selection in Decision Trees Journal of Machine Learning Research 20 2019 1 34
  26. Powers , D.M.W. Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation International Journal of Machine Learning Technology 2 2011 37 63
  27. Fröhlingsdorf , K. , Pischinger , S. , Günther , M. , Steffens , C. et al. Automated Inverter Noise Separation in the Interior of Electric Vehicles Using Adapted Kirsch-Compass Kernel and Hough-Transformation Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2022 10.1177/09544070221076591

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