The nonorthogonal basis generalized Fourier transform is used as orders extraction technique during machinery speed-up and slow-down tests due to nonstationary nature of vibration signals in these tests. The kernels of this transform have time-dependent frequency which is related to the operating speed of the machine. Since these kernels may belong to different groups or shafts, they are generally nonorthogonal. The actual amplitudes and phases of the orders can be found by solving the system of linear equations resulting from decomposition process which is proposed in this work as an improvement to the time variant discrete Fourier transform (TVDFT) method. The proposed scheme is proved to be efficient and the processing time is very small as compared to other schemes such as the Vold–Kalman order tracking (VKOT) method. The accuracy and efficiency of the proposed scheme are investigated using simulated vibration signal and also actual signals.

References

1.
Vold
,
H.
, and
Leuridan
,
J.
,
1993
, “
High Resolution Order Tracking at Extreme Slew Rates, Using Kalman Tracking Filters
,”
SAE
Technical Paper No. 93128810.4271/931288.
2.
Vold
,
H.
,
Mains
,
M.
, and
Blough
,
J. R.
,
1997
, “
Theoretical Foundations for High Performance Order Tracking With the Vold–Kalman Tracking Filter
,”
SAE
Technical Paper No. 97200710.4271/972007.
3.
Blough
,
J. R.
,
1998
, “
Improving the Analysis of Operating Data on Rotating Automotive Components
,” Ph.D. thesis, University of Cincinnati, Cincinnati, OH.
4.
Gade
,
S.
,
Herlufsen
,
H.
, and
Konstantin-Hansen
,
H.
,
1999
, “
Order Tracking of a Coast-Down of a Large Turbogenerator
,” Brüel & Kjær, Nærum, Denmark, Application Note for Multi-Analyzer System Type 3560.
5.
Qian
,
S.
,
2003
, “
Gabor Expansion for Order Tracking
,” Sound Vib.,
37
(
6
), pp.
18
22
, available at: http://www.sandv.com/downloads/0306qian.pdf.
6.
Bai
,
M.
,
Huang
,
J.
,
Hong
,
M.
, and
Su
,
F.
,
2005
, “
Fault Diagnosis of Rotating Machinery Using an Intelligent Order Tracking System
,”
J. Sound Vib.
,
280
(
3–5
), pp.
699
718
.10.1016/j.jsv.2003.12.036
7.
Li
,
H.
,
2007
, “
Gear Fault Monitoring Based on Order Tracking and Bi-spectrum Under Running-Up Condition
,”
Fourth International Conference on Fuzzy Systems and Knowledge Discovery
, Haikou, China, Aug. 24–27, Vol. 4, pp.
379
383
.
8.
Pan
,
M.
, and
Chiu
,
C.
,
2006
, “
Investigation on Improved Gabor Order Tracking Technique and Its Applications
,”
J. Sound Vib.
,
295
(
3–5
), pp.
810
826
.10.1016/j.jsv.2006.01.046
9.
Guo
,
Y.
,
Chi
,
Y.
, and
Zheng
,
H.
,
2008
, “
Noise Reduction in Computed Order Tracking Based on FastICA
,”
IEEE/ASME International Conference on Advanced Intelligent Mechatronics
(
AIM 2008
), Xi'an, China, July 2–5, pp.
62
67
10.1109/AIM.2008.4601635.
10.
Guo
,
Y.
, and
Tan
,
K.
,
2009
, “
Order-Crossing Removal in Gabor Order Tracking by Independent Component Analysis
,”
J. Sound Vib.
,
325
(
1–2
), pp.
471
488
.10.1016/j.jsv.2009.03.003
11.
Blough
,
J. R.
,
2003
, “
Development and Analysis of Time Variant Discrete Fourier Transform Order Tracking
,”
Mech. Syst. Signal Process.
,
17
(
6
), pp.
1185
1199
.10.1006/mssp.2002.1500
12.
Dilworth
,
B. J.
, and
Blough
,
J. R.
,
2007
, “
Implementation of the TVDFT Real Time Order Tracking Algorithm
,”
SAE
Technical Paper 2007-01-221310.4271/2007-01-2213.
13.
Sidi
,
A.
,
1995
, “
Acceleration of Convergence of (Generalized) Fourier Series by the d-Transformation
,”
Ann. Numer. Math.
,
2
(
1–4
), pp.
381
406
.
14.
Herman
,
R. L.
,
2013
, “
An Introduction to Fourier and Complex Analysis With Application to the Spectral Analysis of Signals
,” University of North Carolina Wilmington, Wilmington, NC, online publication, http://people.uncw.edu/hermanr/mat367/FCABook/Book2013/FunctionSpaces.pdf
15.
Gridhar
,
P.
, and
Scheffer
,
C.
,
2004
,
Practical Machinery Vibration Analysis and Predictive Maintenance
,
Newnes Publications/Elsevier
,
Oxford, UK
.
16.
Tuma
,
J.
,
2005
, “
Setting the Passband Width in the Vold–Kalman Order Tracking Filter
,”
Twelfth International Conference on Sound and Vibration
(ICSV12), Lisbon, Portugal, July 11–14.
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