This paper presents a novel wavelet-based methodology for feature extraction and classification. To compare the performance of the proposed approach with major existing methods, a number of sets of real-world machine data acquired by mounting accelerometer sensors on the cylinder head of an engine have been extensively tested. The developed method not only bypasses the demerits of the previous techniques but also demonstrates superior performance.
Issue Section:
Technical Briefs
Topics:
Algorithms,
Entropy,
Machinery,
Signals,
Wavelets,
Engines,
Fault diagnosis,
Feature extraction
1.
Samimy
, B.
, and Rizzoni
, G.
, 1996, “Mechanical Signature Analysis Using Time Frequency Signal Processing: Application to Internal Combustion Engine Knock Detection
,” Proc. IEEE
0018-9219, 84
(9
), pp. 1330
–1343
.2.
Zheng
, G. T.
, and McFadden
, P. D.
, 1999, “A Time-Frequency Distribution for Analysis of Signal With Transient Components and Its Application to Vibration Analysis
,” Trans. ASME, J. Vib. Acoust.
1048-9002, 121
, pp. 328
–333
.3.
Samimy
, B.
, Rizzoni
, G.
, Sayeed
, A. M.
, and Jones
, D. L.
, 1996, “Design of Training Data-Based Quadratic Detectors With Application to Mechanical Systems
,” Proceedings of ICASSP-96
, Atlanta, GA
.4.
Millo
, F.
, and Ferrro
, C. V.
, 1998, “Knock in S. I Engines: A Comparison Between Different Techniques for Detection and Control
,” SAE Paper No. 982477.5.
Huang
, Q.
, Liu
, Y.
, Liu
, H.
, and Cao
, L.
, 2003, “A New Vibration Diagnosis Method Based on the Neural Network and Wavelet Analysis
,” SAE Paper No. 2003-01-0363.6.
Tafreshi
, R.
, Sassani
, F.
, Ahmadi
, H.
, and Dumont
, G.
, 2005, “Local Discriminant Bases in Machine Fault Diagnosis Using Vibration Signals
,” Integr. Comput. Aided Eng.
1069-2509, 12
(2
), pp. 147
–158
.7.
Worret
, R.
, Benhardt
, S.
, Schwarz
, F.
, and Spicher
, U.
, 2002, “Application of Different Cylinder Pressure Based Knock Detection Methods in Spark Ignition Engines
,” SAE Paper No. 2002-01-1668.8.
Carstens-Behrens
, S.
, and Bohme
, J. F.
, 2001, “Fast Knock Detection Using Pattern Signals
,” IEEE International Conference on Acoustics, Speech, and Signal Processing
, Salt Lake City, UT
, 5
, pp. 3145
–3148
.9.
Tafreshi
, R.
, Ahmadi
, H.
, Sassani
, F.
, and Dumont
, G.
, 2002, “Informative Wavelet Algorithm in Diesel Engine Diagnosis
,” The 17th IEEE International Symposium on Intelligent Control (ISIC’02)
, Vancouver, Canada
, pp. 361
–366
.10.
Rubini
, R.
, and Meneghetti
, U.
, 2001, “Application of the Envelope and Wavelet Transform Analyses for the Diagnosis of Incipient Faults in Ball Bearings
,” Mech. Syst. Signal Process.
0888-3270, 15
(2–3
), pp. 287
–302
.11.
Tse
, P. W.
, Peng
, Y. H.
, and Yam
, R.
, 2001, “Wavelet Analysis and Envelope Detection for Rolling Element Bearing Fault Diagnosis—Their Effectiveness and Flexibilities
,” ASME J. Vibr. Acoust.
0739-3717, 123
.12.
Ahmadi
, H.
, Dumont
, G.
, Sassani
, F.
, and Tafreshi
, R.
, 2003, “Performance of Informative Wavelets for Classification and Diagnosis of Machine Faults
,” Int. J. Wavelets, Multiresolut. Inf. Process.
0219-6913, 1
(3
).13.
Wang
, W. J.
, and McFadden
, P. D.
, 1996, “Application of Wavelets to Gearbox Vibration Signals for Fault Detection
,” ASME J. Vibr. Acoust.
0739-3717, 192
, pp. 927
–939
.14.
Chen
, D.
, and Wang
, W. J.
, 2002, “Classification of Wavelet Map Patterns Using Multi-Layer Neural Networks for Gear Fault Detection
,” Mech. Syst. Signal Process.
0888-3270, 16
(4
), pp. 695
–704
.15.
Zheng
, H.
, Li
, Z.
, and Chen
, X.
, 2002, “Gear Fault Diagnosis Based on Continuous Wavelet Transform
,” Mech. Syst. Signal Process.
0888-3270, 16
(2–3
), pp. 447
–457
.16.
Liu
, B.
, and Ling
, S. F.
, 1999, “On the Selection of Informative Wavelets for Machinery Diagnosis
,” Mech. Syst. Signal Process.
0888-3270, 13
(1
).17.
Chui
, C. K.
, 1992, An Introduction to Wavelets
, Vol. 1
, Academic
, New York
.18.
Coifman
, R. R.
, Meyer
, Y.
, and Wickerhauser
, M. V.
, 1992, Wavelet Analysis and Signal Processing, Wavelets and Their Applications
, M. B.
Ruskai
, eds., Jones and Barlett Publishers Inc.
, Boston
, pp. 153
–178
.19.
Saito
, N.
, and Coifman
, R. R.
, 1995, “Local Discriminant Bases and Their Applications
,” J. Math. Imaging Vision
0924-9907, 5
(4
), pp. 337
–358
.20.
Gray
, R. M.
, 1990, Entropy and Information Theory
, Springer-Verlag
, Berlin
.21.
Watanabe
, S.
, and Kaminuma
, T.
, 1988, “Recent Developments of the Minimum Entropy Algorithm
,” Proceedings of the International Conference on Pattern Recognition
, IEEE
, New York
, pp. 536
–540
.22.
Coifman
, R. R.
, and Wickerhauser
, M. V.
, 1992, “Entropy-Based Algorithm for Best Basis Selection
,” IEEE Trans. Inf. Theory
0018-9448, 38
, pp. 713
–718
.23.
Englehart
, K.
, Hudgins
, B.
, Parker
, P. A.
, and Stevenson
, M.
, 1999, “Classification of the Myoelectric Signal Using Time-Frequency Based Representations
,” Med. Eng. Phys.
1350-4533, 21
, pp. 431
–438
.24.
Saito
, N.
, Coifman
, R. R.
, Geshwind
, F. B.
, and Warner
, F.
, 2002, “Discriminant Feature 24 Using Empirical Probability Density Estimation and a Local Basis Library
,” Pattern Recogn.
0031-3203, 35
(12
), pp. 2841
–2852
.25.
Englehart
, K.
, Hudgins
, B.
, and Parker
, P. A.
, 2001, “A Wavelet Based Continuous Classification Scheme for Multifunction Myoelectric Control
,” IEEE Trans. Biomed. Eng.
0018-9294, 48
(3
), pp. 302
–311
.26.
Englehart
, K.
, Hudgins
, B.
, Parker
, P. A.
, and Stevenson
, M.
, 1999, “Improving Myoelectric Signal Classification Using Wavelet Packets and Principal Component Analysis
,” Proc. IEEE
0018-9219, 1
, pp. 569
–570
.27.
Heywood
, J. B.
, 1988, Internal Combustion Engine Fundamentals
, McGraw-Hill
, New York
.28.
Ripley
, B. D.
, 1996, Pattern Recognition and Neural Networks
, Cambridge University
, Cambridge
.29.
Fausett
, L.
, 1994, Fundamentals of Neural Networks, Architectures, Algorithms, and Applications
, Prentice-Hall
, Englewood, Cliffs, NJ
.30.
Hagan
, M. T.
, Demuth
, H. B.
, and Beale
, M.
, 1996, Neural Network Design
, PWS
, Boston, MA
.Copyright © 2009
by American Society of Mechanical Engineers
You do not currently have access to this content.
