À propos de cet article

Citez

Li, Weilin, Pan Fu, Weiqing Cao, “Study on Feature Selection and Identification Method of Tool Wear States Based on SVM,” International Journal on Smart Sensing and Intelligent Systems, vol. 6, no. 2, pp. 448-465, April 2013.10.21307/ijssis-2017-549 Search in Google Scholar

Lane, D. Nicholas, et al. “BeWell: A smartphone application to monitor, model and promote wellbeing,” 5th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health 2011), 2011.10.4108/icst.pervasivehealth.2011.246161 Search in Google Scholar

Frank Sposaro, Justin Danielson, Gary Tyson. “iWander: an Android application for dementia patients,” In Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pp. 3875-3878, 2010. Search in Google Scholar

N.K. Verma, S. Singh, J.K. Gupta, R.K. Sevakula, S. Dixit, A. Salour, “Smartphone application for fault recognition,” Sixth International Conference on Sensing Technology (ICST), 18-21 Dec. 201210.1109/ICSensT.2012.6522593 Search in Google Scholar

Andrew K.S. Jardine, Daming Lin, Dragan Banjevic. “A review on machinery diagnostics and prognostics implementing condition-based maintenance,” Mechanical Systems and Signal Processing, vol. 20, no. 7, pp. 1483-1510, 2006. Search in Google Scholar

Qingbo He, Fanrang Kong, Ruqiang Yan. “Subspace-based gearbox condition monitoring by kernel principal component analysis,” Mechanical Systems and Signal Processing, vol. 21, no. 4, pp. 1755-1772, May 2007. Search in Google Scholar

Qingbo He, Ruqiang Yan, Fanrang Kong, Ruxu Du, “Machine condition monitoring using principal component representations,” Mechanical Systems and Signal Processing, vol. 23, no. 2, pp. 446-466, February 2009.10.1016/j.ymssp.2008.03.010 Search in Google Scholar

B. Liu, S.F. Ling, Q.F. Meng, “Machinery diagnostics based on wavelet packets,” Journal of Vibration and Control, vol. 3, no. 1, pp. 5–17, 1997.10.1177/107754639700300102 Search in Google Scholar

J. Ming, “Feature Extraction based on Morlet wavelet and its application for mechanical fault diagnosis,” Journal of Sound and Vibration, vol. 234, no. 1, pp. 135-148, 2000.10.1006/jsvi.2000.2864 Search in Google Scholar

S.K. Goumas, M.E. Zervakis, G.S. Stavrakakis, “Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction,” IEEE Transactions on Instrumentation and Measurement, vol. 51, no. 3, pp. 497-508, 2002.10.1109/TIM.2002.1017721 Search in Google Scholar

Ingrid Daubechies, “Ten lectures on wavelets,” Philadelphia: Society for industrial and applied mathematics, vol. 61, 1992.10.1137/1.9781611970104 Search in Google Scholar

I.T. Jolliffe, “Principal component analysis, “ Spring-verlag, New York, 1986.10.1007/978-1-4757-1904-8 Search in Google Scholar

S. Wold, K. Esbensen, P. Geladi. “Principal component analysis,” Chemometrics and intelligent laboratory systems, vol. 2, no. 1, pp. 37-52, 1987.10.1016/0169-7439(87)80084-9 Search in Google Scholar

A. Widodo, Bo-Suk Yang, “Support vector machine in machine condition monitoring and fault diagnosis,” Mechanical Systems and Signal Processing, vol. 21, no. 6, pp. 2560–2574, August 2007. Search in Google Scholar

A. Mathur, G.M. Foody, “Multiclass and Binary SVM Classification: Implications for Training and Classification Users,” Geoscience and Remote Sensing Letters, IEEE, vol. 5, no. 2, pp. 241-245, April 2008.10.1109/LGRS.2008.915597 Search in Google Scholar

N.K. Verma, A. Roy, A. Salour, “An optimized fault diagnosis method for reciprocating air compressors based on SVM,” IEEE International Conference on System Engineering and Technology (ICSET), pp. 65-69, 27-28 June 2011.10.1109/ICSEngT.2011.5993422 Search in Google Scholar

C. Cortes, V. Vapnik, “S upport- vector networks,” Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.10.1007/BF00994018 Search in Google Scholar

Commons Math Developers, Apache Commons Math, Release 2.2 Library available at: http://commons.apache.org/math Search in Google Scholar

N.K. Verma, K. Jagannatham, A. Bahirat, T. Shukla, “Finding Sensitive Sensor positions under faulty condition of Reciprocating Air Compressors,” IEEE International Conference on Recent Advances in Intelligent Computational Systems, pp. 242-246, Sep. 22-24, 2011.10.1109/RAICS.2011.6069310 Search in Google Scholar

N.K. Verma, K. Piyush, R.K. Sevakula, S. Dixit, A. Salour. “Ranking of sensitive positions based on statistical parameters and cross correlation analysis,” Sixth International Conference on Sensing Technology (ICST), pp. 815-821, 18-21 Dec. 2012.10.1109/ICSensT.2012.6461789 Search in Google Scholar

C. Chang, C. Lin, “LIBSVM : a library for support vector machines,” ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, pp. 27:1-27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.10.1145/1961189.1961199Search in Google Scholar

eISSN:
1178-5608
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Engineering, Introductions and Overviews, other