Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals:comparison of EFT,CWT,and DWT features (Invited Paper)

Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals:comparison of EFT,CWT,and DWT features (Invited Paper)

Author(s):

Choe,H.C. ( Texas A&M Univ. )
Wan,Y. ( Texas A&M Univ. )
Chan,A.K. ( Texas A&M Univ. )

Publication title:

Wavelet applications IV : 22-24 April 1997, Orlando, Florida

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

3078

Pub. Year:

1997

Page(from):

480

Page(to):

496

Pub. info.:

Bellingham, Wash.: SPIE-The International Society for Optical Engineering

ISSN:

0277786X

ISBN:

9780819424938 [0819424935]

Language:

English

Call no.:

P63600/3078

Type:

Conference Proceedings

Details

TDL ID:	ZA00016475
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Wavelet Applications
Conf. info. (Number):	1997 : 4th
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	1997.04.22-1997.04.24

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