Araştırma Makalesi
Yıl 2017,
Cilt: 32 Sayı: 4, 193 - 200, 15.12.2017
Öz
In this work, the sounds from faulty disc brake system have been
analyzed by wavelet ridge approach. The sounds have been acquired by two
identical Norsonic Type 1228 microphones on vehicle in the lab environment. The
data transferred into computer via data acquisition board was analyzed in
Matlab by wavelet ridge approach to discriminate normal brake sound from the
faulty one; the entropy of wavelet ridge
matrix have been calculated. All in all, it has been observed that the calculated
entropies collected from the faulty brake is greater than the normal one, and
it can be used as a discriminative feature in the fault analysis.
Anahtar Kelimeler
Kaynakça
- 1. Hwang, W., Han, K., Huh, K., Jung, J., Kim, M., 2011. Fault Detection and Diagnosis of the Electromechanical Brake Based on Observer and Parity Space. 14th International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA. October 5-7, 2011.
- 2. Jegadeeshwaran, R., Sugumaran, V., 2015. Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA) – A Statistical Learning Approach, Engineering Science and Technology, an International Journal, Elsevier, Vol. 18, 14-23.
- 3. Jegadeeshwaran, R., Sugumaran, V., 2013. Comparative Study of Decision Tree Classifier and Best First Tree Classifier for Fault Diagnosis of Automobile Hydraulic Brake System using Statistical Features. Measurement, Elsevier, 3247-3260.
- 4. Liu, J., Li, Y., F., Zio, E., 2017. A SVM Framework for Fault Detection of the Braking System in a High-Speed Train. Mechanical Systems and Signal Processing, Elsevier, Vol. 87, 401-409.
- 5. Fraser, S., Nikora, V., Williamson, B., J., Scott, B., E., 2017. Automatic Active Acoustic Target Detection in Turbulent Aquatic Environments. Methods, Wiley, 15(2), 184-199.
- 6. Beloiu, D., M., Ibrahim, R., A., 2006. Analytical and Experimental Investigations of Disc Brake Noise Using the Time Frequency Domain. Structural Control and Health Monitoring, Wiley, Vol. 13, 277-300.
- 7. Xijun, ZHU., Jinyun, G., Chongyou, W., 2008. Control and Decision Conference. Prediction and Diagnosis of Mine Hoist Fault Based on Wavelet Neural Network. CCDC 2008. Chinese, IEEE, 598-601.
- 8. Wald, R., Khoshgoftaar, T., Sloan, J., C., 2011. Information Reuse and Integration (IRI), International Conference, IEEE, 366-371, Las Vegas, NV, USA
- 9. Rhee, S.K., Tsang, P.H.S., Wang, Y.S., 1989. Friction Induced Noise and Vibration of Disc Brakes, Allied-Signal Automotive Technical Center, 900 West Maple Road, MI 48084, USA., Elsevier, 133(1), 39-45.
- 10. https://otomobilteknoloji.blogspot.com.tr/2016/08/kampanali-fren-sistemi-parcalari-calismasi.html, 31.08.2016 11. Meritor Inc. Air Disc Brake Service Manual ELSA 195, 225 & 250 Issued 07/2014, 20.
- 12. Addison, P.S., 2002. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance, CRC Press.
- 13. Özkurt, N., Savacı, F.A., 2005. Determination of wavelet ridges of nonstationary signals by singular value decomposition. IEEE Transactions on Circuits and Systems-II: Express Briefs, 52(8), 480–485.
- 14. Gonzalez, R.C., Woods, R.E. Eddins., S.L., 2003. Digital Image Processing using MATLAB, Prentice Hall, Chapter 11. 342 New Jersey.
Yıl 2017,
Cilt: 32 Sayı: 4, 193 - 200, 15.12.2017
Öz
Bu
çalışmada hatalı disk fren sistemlerinden gelen seslerin dalgacık tepeleri
yaklaşımı ile analizi gerçekleştirilmiştir. Bu sesler iki adet Norsonic Type
1228 mikrofon ile laboratuvar ortamında ve araç üzerinde kaydedilmiştir. Bir
veri toplama kartı aracılığı ile bilgisayara aktarılan ses kayıtları Matlab ile
analiz edilmiş, normal fren sesleri ile istenmeyen sesleri ayırt etmek için
Dalgacık Tepeleri yaklaşımı kullanılmıştır ve fren seslerinin dalgacık tepesi
matrisleri için entropi değerleri bulunmuştur. İnceleme sonucunda hatalı
frenlerden gelen sinyallerden hesaplanan entropilerinin daha yüksek olduğu ve
bu değerlerin ayırıcı bir öznitelik olarak hata analizinde kullanılabileceği tespit
edilmiştir.
Anahtar Kelimeler
Kaynakça
- 1. Hwang, W., Han, K., Huh, K., Jung, J., Kim, M., 2011. Fault Detection and Diagnosis of the Electromechanical Brake Based on Observer and Parity Space. 14th International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA. October 5-7, 2011.
- 2. Jegadeeshwaran, R., Sugumaran, V., 2015. Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA) – A Statistical Learning Approach, Engineering Science and Technology, an International Journal, Elsevier, Vol. 18, 14-23.
- 3. Jegadeeshwaran, R., Sugumaran, V., 2013. Comparative Study of Decision Tree Classifier and Best First Tree Classifier for Fault Diagnosis of Automobile Hydraulic Brake System using Statistical Features. Measurement, Elsevier, 3247-3260.
- 4. Liu, J., Li, Y., F., Zio, E., 2017. A SVM Framework for Fault Detection of the Braking System in a High-Speed Train. Mechanical Systems and Signal Processing, Elsevier, Vol. 87, 401-409.
- 5. Fraser, S., Nikora, V., Williamson, B., J., Scott, B., E., 2017. Automatic Active Acoustic Target Detection in Turbulent Aquatic Environments. Methods, Wiley, 15(2), 184-199.
- 6. Beloiu, D., M., Ibrahim, R., A., 2006. Analytical and Experimental Investigations of Disc Brake Noise Using the Time Frequency Domain. Structural Control and Health Monitoring, Wiley, Vol. 13, 277-300.
- 7. Xijun, ZHU., Jinyun, G., Chongyou, W., 2008. Control and Decision Conference. Prediction and Diagnosis of Mine Hoist Fault Based on Wavelet Neural Network. CCDC 2008. Chinese, IEEE, 598-601.
- 8. Wald, R., Khoshgoftaar, T., Sloan, J., C., 2011. Information Reuse and Integration (IRI), International Conference, IEEE, 366-371, Las Vegas, NV, USA
- 9. Rhee, S.K., Tsang, P.H.S., Wang, Y.S., 1989. Friction Induced Noise and Vibration of Disc Brakes, Allied-Signal Automotive Technical Center, 900 West Maple Road, MI 48084, USA., Elsevier, 133(1), 39-45.
- 10. https://otomobilteknoloji.blogspot.com.tr/2016/08/kampanali-fren-sistemi-parcalari-calismasi.html, 31.08.2016 11. Meritor Inc. Air Disc Brake Service Manual ELSA 195, 225 & 250 Issued 07/2014, 20.
- 12. Addison, P.S., 2002. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance, CRC Press.
- 13. Özkurt, N., Savacı, F.A., 2005. Determination of wavelet ridges of nonstationary signals by singular value decomposition. IEEE Transactions on Circuits and Systems-II: Express Briefs, 52(8), 480–485.
- 14. Gonzalez, R.C., Woods, R.E. Eddins., S.L., 2003. Digital Image Processing using MATLAB, Prentice Hall, Chapter 11. 342 New Jersey.
Toplam 13 adet kaynakça vardır.
Ayrıntılar
| Bölüm | Makaleler |
|---|---|
| Yazarlar | |
| Yayımlanma Tarihi | 15 Aralık 2017 |
| Yayımlandığı Sayı | Yıl 2017 Cilt: 32 Sayı: 4 |