Sound recognition of DC machine with application of FFT and fuzzy logic

At present there are many methods of sound recognition [2], [5], [14]. Most of them are based on data processing [4], [8], [11], [16]. The aim of this paper is analysis of a system which enables sound recognition. To protect electrical machine the shorted coils are detected in rotor winding. Sound recognition application contains preliminary data processing, feature extraction and classification algorithm. It makes possible to identify sounds. One of the tasks was to use fuzzy logic. Fuzzy logic functions were applied as a classifier [3], [6], [12], [17]. Investigations were carried out for direct current machine because it produces characteristic sounds. It can notice that sound of faultless dc machine is different from sound of faulty dc machine [1], [7], [9], [10], [13], [15]. For recognition aim the mechanism of early detection of damages in dc machine was created.

[1]  Adam Glowacz,et al.  Sound recognition of dc machine with application of FFT and backpropagation neural network , 2008 .

[2]  I. Dudzikowski,et al.  Maszyny prądu stałego o magnesach trwałych i ich sterowanie - stan aktualny i perspektywy rozwoju , 2001 .

[3]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[4]  J. Zawilak,et al.  Badania eksperymentalne silnika indukcyjnego z uszkodzoną klatką wirnika , 2006 .

[5]  Jr. J.P. Campbell,et al.  Speaker recognition: a tutorial , 1997, Proc. IEEE.

[6]  H. Carter.  Fuzzy Sets and Systems — Theory and Applications , 1982 .

[7]  J. Kreiman,et al.  Recognition of environmental sounds in autistic children. , 1988, Journal of the American Academy of Child and Adolescent Psychiatry.

[8]  Christophe Couvreur.  Environmental Sound Recognition: A Statistical Approach , 1997 .

[9]  W. Glowacz,et al.  Mathematical Model of DC Motor for Analysis of Commutation Processes , 2007, 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.

[10]  Donald G. Childers,et al.  Speech processing and synthesis toolboxes , 1999 .

[11]  Luis F. Chaparro,et al.  Signal analysis in fuzzy information space , 1996, Fuzzy Sets Syst..

[12]  Yung-Yaw Chen,et al.  A description of the dynamic behavior of fuzzy systems , 1989, IEEE Trans. Syst. Man Cybern..

[13]  Stanley J. Wenndt,et al.  Developing usable speech criteria for speaker identification technology , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).