Abstract

In this paper, the transient vibration responses of power transformer windings subjected to the mechanical and electrical impacts are studied with the aim of detecting the structural degradation of windings. The axial vibration mechanism of windings is described as a multi-degrees-of-freedom model with the Rayleigh damping formulation. Then, the nonlinear damping curves are extracted from the original vibrations by using Morlet wavelet transform. During the laboratory experiment, the model was validated on a full-size winding model, and the free vibrations from different coils were acquired when the mechanical impact was applied. Furthermore, the clamping force adjustment experiment was performed to simulate the structural degradation of windings, and the nonlinear relationship between the clamping force and the damping coefficients was investigated. Finally, the proposed method is applied to the tank vibrations collected during the de-energizing process for in-service transformers, and the results of the normal and the anomalous transformers are compared. It is concluded that the proposed method not only reveals the relationship between the transient vibration and the winding structure but also can effectively identify the winding condition.

Issue Section:
Research Papers
Keywords:
transformer winding, transient vibration, structural nonlinearity, wavelet transform, damping, machinery and structural damage identification, non-linear vibration
Topics:
Damping, Transients (Dynamics), Vibration, Winding (process), Wavelet transforms, Wavelets

References

1.
Martin
,
D.
,
Marks
,
J.
, and
Saha
,
T.
,
2017
, “
Survey of Australian Power Transformer Failures and Retirements
,”
IEEE Electr. Insul. Mag.
,
33
(
5
), pp.
16
–
22
. 10.1109/MEI.2017.8014387
2.
Wang
,
M.
,
Vandermaar
,
A. J.
, and
Srivastava
,
K. D.
,
2002
, “
Review of Condition Assessment of Power Transformers in Service
,”
IEEE Electr. Insul. Mag.
,
18
(
6
), pp.
12
–
25
. 10.1109/MEI.2002.1161455
3.
Duval
,
M.
,
1989
, “
Dissolved gas Analysis: it can Save Your Transformer
,”
IEEE Electr. Insul. Mag.
,
5
(
6
), pp.
22
–
27
. 10.1109/57.44605
4.
Ryder
,
S. A.
,
2003
, “
Diagnosing Transformer Faults Using Frequency Response Analysis
,”
IEEE Electr. Insul. Mag.
,
19
(
2
), pp.
16
–
22
. 10.1109/MEI.2003.1192032
5.
Behjat
,
V.
,
Vahedi
,
A.
,
Setayeshmehr
,
A.
,
Borsi
,
H.
, and
Gockenbach
,
E.
,
2011
, “
Diagnosing Shorted Turns on the Windings of Power Transformers Based Upon Online FRA Using Capacitive and Inductive Couplings
,”
IEEE Trans. Power Deliv.
,
26
(
4
), pp.
2123
–
2133
. 10.1109/TPWRD.2011.2151285
6.
Swihart
,
D. O.
, and
Wright
,
D. V.
,
1976
, “
Dynamic Stiffness and Damping of Transformer Pressboard During Axial Short Circuit Vibration
,”
IEEE Trans. Power App. Syst.
,
95
(
2
), pp.
721
–
730
. 10.1109/T-PAS.1976.32155
7.
Hori
,
Y.
, and
Okuyama
,
K.
,
1980
, “
Axial Vibration Analysis of Transformer Windings Under Short Circuit Conditions
,”
IEEE Trans. Power App. Syst.
,
99
(
2
), pp.
443
–
451
. 10.1109/TPAS.1980.319680
8.
Zhang
,
H.
,
Yang
,
B.
,
Xu
,
W.
,
Wang
,
S.
,
Wang
,
G.
,
Huangfu
,
Y.
, and
Zhang
,
J.
,
2014
, “
Dynamic Deformation Analysis of Power Transformer Windings in Short-Circuit Fault by FEM
,”
IEEE Trans. Appl. Supercond.
,
24
(
3
), pp.
1
–
4
. 10.1109/tasc.2013.2285335
9.
Morooka
,
H.
,
Yamagishi
,
A.
,
Miyahara
,
H.
,
Sampei
,
H.
,
Kashiwakura
,
M.
, and
Shirasaka
,
Y.
,
2014
, “
Compression Behaviors of Oil-Immersed Insulating Pressed-Boards Made of Kraft Pulp
,”
IEEE Trans. Dielectr. Electr. Insul.
,
21
(
3
), pp.
1285
–
1290
. 10.1109/TDEI.2014.6832276
10.
Curadelli
,
R. O.
,
Riera
,
J. D.
,
Ambrosini
,
D.
, and
Amani
,
M. G.
,
2008
, “
Damage Detection by Means of Structural Damping Identification
,”
Eng. Struct.
,
30
(
12
), pp.
3497
–
3504
. 10.1016/j.engstruct.2008.05.024
11.
Bagheri
,
M.
,
Zollanvari
,
A.
, and
Nezhivenko
,
S.
,
2018
, “
Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment
,”
IEEE Access
,
6
(
99
), pp.
9862
–
9874
. 10.1109/ACCESS.2018.2809436
12.
Bartoletti
,
C.
,
Desiderio
,
M.
,
Di Carlo
,
D.
,
Fazio
,
G.
,
Muzi
,
F.
,
Sacerdoti
,
G.
, and
Salvatori
,
F.
,
2004
, “
Vibro-Acoustic Techniques to Diagnose Power Transformers
,”
IEEE Trans. Power Deliv.
,
19
(
1
), pp.
221
–
229
. 10.1109/TPWRD.2003.820177
13.
Hu
,
C.
,
Wang
,
P. F.
,
Youn
,
B. D.
,
Lee
,
W. R.
, and
Yoon
,
J. T.
,
2012
, “
Copula-Based Statistical Health Grade System Against Mechanical Faults of Power Transformers
,”
IEEE Trans. Power Deliv.
,
27
(
4
), pp.
1809
–
1819
. 10.1109/TPWRD.2012.2202406
14.
Ji
,
S. C.
,
Luo
,
Y. F.
, and
Li
,
Y. M.
,
2006
, “
Research on Extraction Technique of Transformer Core Fundamental Frequency Vibration Based on OLCM
,”
IEEE Trans. Power Deliv.
,
21
(
4
), pp.
1981
–
1988
. 10.1109/TPWRD.2006.876665
15.
García
,
B.
,
Burgos
,
J. C.
, and
Alonso
,
A. M.
,
2006
, “
Transformer Tank Vibration Modeling as a Method of Detecting Winding Deformations-Part I: Theoretical Foundation
,”
IEEE Trans. Power Deliv.
,
21
(
1
), pp.
157
–
163
. 10.1109/TPWRD.2005.852280
16.
García
,
B.
,
Burgos
,
J. C.
, and
Alonso
,
A. M.
,
2006
, “
Transformer Tank Vibration Modeling as a Method of Detecting Winding Deformations-Part II: Experimental Verification
,”
IEEE Trans. Power Deliv.
,
21
(
1
), pp.
157
–
163
. 10.1109/TPWRD.2005.852275
17.
Hong
,
K.
,
Huang
,
H.
, and
Zhou
,
J.
,
2015
, “
Winding Condition Assessment of Power Transformers Based on Vibration Correlation
,”
IEEE Trans. Power Deliv.
,
30
(
4
), pp.
1735
–
1742
. 10.1109/TPWRD.2014.2376033
18.
Hong
,
K.
,
Huang
,
H.
,
Fu
,
Y.
, and
Zhou
,
J.
,
2016
, “
A Vibration Measurement System for Health Monitoring of Power Transformers
,”
Measurement
,
93
, pp.
135
–
147
. 10.1016/j.measurement.2016.07.002
19.
Popov
,
M.
, and
Acha
,
E.
,
1999
, “
Overvoltages Due to Switching off an Unloaded Transformer With a Vacuum Circuit Breaker
,”
IEEE Trans. Power Deliv.
,
14
(
4
), pp.
1317
–
1326
. 10.1109/61.796224
20.
Wang
,
Y.
, and
Pan
,
J.
,
2017
, “
Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer
,”
IEEE Trans. Power Deliv.
,
32
(
3
), pp.
1173
–
1180
. 10.1109/TPWRD.2014.2383390
21.
Borucki
,
S.
,
2012
, “
Diagnosis of Technical Condition of Power Transformers Based on the Analysis of Vibroacoustic Signals Measured in Transient Operating Conditions
,”
IEEE Trans. Power Deliv.
,
27
(
2
), pp.
670
–
676
. 10.1109/TPWRD.2012.2185955
22.
Geng
,
C.
,
Wang
,
F.
,
Zhang
,
J.
, and
Jin
,
Z.
,
2014
, “
Modal Parameters Identification of Power Transformer Winding Based on Improved Empirical Mode Decomposition Method
,”
Electr. Power Syst. Res.
,
108
(
108
), pp.
331
–
339
. 10.1016/j.epsr.2013.12.002
23.
Hong
,
K.
,
Wang
,
L.
, and
Xu
,
S.
,
2019
, “
A Variational Mode Decomposition Approach for Degradation Assessment of Power Transformer Windings
,”
IEEE Trans. Instrum. Meas.
,
68
(
4
), pp.
1221
–
1229
. 10.1109/TIM.2018.2865048
24.
Ruzzene
,
M.
,
Fasana
,
A.
,
Garibaldi
,
L.
, and
Piombo
,
B.
,
1997
, “
Natural Frequencies and Dampings Identification Using Wavelet Transform: Application to Real Data
,”
Mech. Syst. Signal Process.
,
11
(
2
), pp.
207
–
218
. 10.1006/mssp.1996.0078
25.
Tomac
,
I.
,
Lozina
,
Z.
, and
Sedlar
,
D.
,
2017
, “
Extended Morlet-Wave Damping Identification Method
,”
Int. J. Mech. Sci.
,
127
, pp.
31
–
40
. 10.1016/j.ijmecsci.2017.01.013
26.
Yan
,
B. F.
,
Miyamoto
,
A.
, and
Brühwiler
,
E.
,
2006
, “
Wavelet Transform-Based Modal Parameter Identification Considering Uncertainty
,”
J. Sound Vib.
,
291
(
1–2
), pp.
285
–
301
. 10.1016/j.jsv.2005.06.005
27.
Sheen
,
Y. T.
,
2009
, “
On the Study of Applying Morlet Wavelet to the Hilbert Transform for the Envelope Detection of Bearing Vibrations
,”
Mech. Syst. Signal Process.
,
23
(
5
), pp.
1518
–
1527
. 10.1016/j.ymssp.2009.01.012
28.
Zhou
,
H.
,
Hong
,
K.
,
Huang
,
H.
, and
Zhou
,
J.
,
2016
, “
Transformer Winding Fault Detection by Vibration Analysis Methods
,”
Appl. Acoust.
,
114
, pp.
136
–
146
. 10.1016/j.apacoust.2016.07.024
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