Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria

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DEÁK, Krisztián ;MANKOVITS, Tamás ;KOCSIS, Imre .
Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 63, n.1, p. 3-14, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/>. Date accessed: 25 feb. 2020. 
doi:http://dx.doi.org/10.5545/sv-jme.2016.3989.
Deák, K., Mankovits, T., & Kocsis, I.
(2017).
Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria.
Strojniški vestnik - Journal of Mechanical Engineering, 63(1), 3-14.
doi:http://dx.doi.org/10.5545/sv-jme.2016.3989
@article{sv-jmesv-jme.2016.3989,
	author = {Krisztián  Deák and Tamás  Mankovits and Imre  Kocsis},
	title = {Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {63},
	number = {1},
	year = {2017},
	keywords = {condition monitoring; bearing vibration analysis; wavelet; entropy; dynamic model},
	abstract = {Fault diagnosis of bearings is essential in manufacturing to increase quality. Traditionally, fault diagnosis of tapered roller element bearings is performed by signal processing methods, which handle the nonstationary behaviour of the signal. The wavelet transform is an efficient tool for analysing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults in the bearing elements. In this article, manufacturing faults on the outer ring of tapered roller bearings due to the grinding process in manufacturing are investigated. Nine different real values wavelets (Symlet-2, Symlet-5, Symlet-8, db02, db06, db10, db14, Meyer, and Morlet) are compared according to the Energy-to-Shannon-Entropy ratio criteria, and which is efficient for detecting the manufacturing faults is determined. Finally, experiments are carried out on a test rig for determining the geometrical size of the manufacturing faults with all wavelets directly from the vibration signature the result of db02, Symlet-5, and Morlet wavelets are presented. When modelling the bearing structure as an under-damped second-order mass-spring-damper mechanical system, its unit impulse response function is compared to the wavelets on the basis of their Energy-to-Shannon-Entropy ratio to determine the fault size from the vibration signal. The proposed technique has been successfully implemented for measuring defect widths. The maximum deviation in result has been found to be 4.12 % for the defect width which was verified with image analysis methods using an optical microscope and contact measurement.},
	issn = {0039-2480},	pages = {3-14},	doi = {10.5545/sv-jme.2016.3989},
	url = {https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/}
}
Deák, K.,Mankovits, T.,Kocsis, I.
2017 June 63. Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 63:1
%A Deák, Krisztián 
%A Mankovits, Tamás 
%A Kocsis, Imre 
%D 2017
%T Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria
%B 2017
%9 condition monitoring; bearing vibration analysis; wavelet; entropy; dynamic model
%! Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria
%K condition monitoring; bearing vibration analysis; wavelet; entropy; dynamic model
%X Fault diagnosis of bearings is essential in manufacturing to increase quality. Traditionally, fault diagnosis of tapered roller element bearings is performed by signal processing methods, which handle the nonstationary behaviour of the signal. The wavelet transform is an efficient tool for analysing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults in the bearing elements. In this article, manufacturing faults on the outer ring of tapered roller bearings due to the grinding process in manufacturing are investigated. Nine different real values wavelets (Symlet-2, Symlet-5, Symlet-8, db02, db06, db10, db14, Meyer, and Morlet) are compared according to the Energy-to-Shannon-Entropy ratio criteria, and which is efficient for detecting the manufacturing faults is determined. Finally, experiments are carried out on a test rig for determining the geometrical size of the manufacturing faults with all wavelets directly from the vibration signature the result of db02, Symlet-5, and Morlet wavelets are presented. When modelling the bearing structure as an under-damped second-order mass-spring-damper mechanical system, its unit impulse response function is compared to the wavelets on the basis of their Energy-to-Shannon-Entropy ratio to determine the fault size from the vibration signal. The proposed technique has been successfully implemented for measuring defect widths. The maximum deviation in result has been found to be 4.12 % for the defect width which was verified with image analysis methods using an optical microscope and contact measurement.
%U https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/
%0 Journal Article
%R 10.5545/sv-jme.2016.3989
%& 3
%P 12
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 63
%N 1
%@ 0039-2480
%8 2018-06-27
%7 2018-06-27
Deák, Krisztián, Tamás  Mankovits, & Imre  Kocsis.
"Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria." Strojniški vestnik - Journal of Mechanical Engineering [Online], 63.1 (2017): 3-14. Web.  25 Feb. 2020
TY  - JOUR
AU  - Deák, Krisztián 
AU  - Mankovits, Tamás 
AU  - Kocsis, Imre 
PY  - 2017
TI  - Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2016.3989
KW  - condition monitoring; bearing vibration analysis; wavelet; entropy; dynamic model
N2  - Fault diagnosis of bearings is essential in manufacturing to increase quality. Traditionally, fault diagnosis of tapered roller element bearings is performed by signal processing methods, which handle the nonstationary behaviour of the signal. The wavelet transform is an efficient tool for analysing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults in the bearing elements. In this article, manufacturing faults on the outer ring of tapered roller bearings due to the grinding process in manufacturing are investigated. Nine different real values wavelets (Symlet-2, Symlet-5, Symlet-8, db02, db06, db10, db14, Meyer, and Morlet) are compared according to the Energy-to-Shannon-Entropy ratio criteria, and which is efficient for detecting the manufacturing faults is determined. Finally, experiments are carried out on a test rig for determining the geometrical size of the manufacturing faults with all wavelets directly from the vibration signature the result of db02, Symlet-5, and Morlet wavelets are presented. When modelling the bearing structure as an under-damped second-order mass-spring-damper mechanical system, its unit impulse response function is compared to the wavelets on the basis of their Energy-to-Shannon-Entropy ratio to determine the fault size from the vibration signal. The proposed technique has been successfully implemented for measuring defect widths. The maximum deviation in result has been found to be 4.12 % for the defect width which was verified with image analysis methods using an optical microscope and contact measurement.
UR  - https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/
@article{{sv-jme}{sv-jme.2016.3989},
	author = {Deák, K., Mankovits, T., Kocsis, I.},
	title = {Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {63},
	number = {1},
	year = {2017},
	doi = {10.5545/sv-jme.2016.3989},
	url = {https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/}
}
TY  - JOUR
AU  - Deák, Krisztián 
AU  - Mankovits, Tamás 
AU  - Kocsis, Imre 
PY  - 2018/06/27
TI  - Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 63, No 1 (2017): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2016.3989
KW  - condition monitoring, bearing vibration analysis, wavelet, entropy, dynamic model
N2  - Fault diagnosis of bearings is essential in manufacturing to increase quality. Traditionally, fault diagnosis of tapered roller element bearings is performed by signal processing methods, which handle the nonstationary behaviour of the signal. The wavelet transform is an efficient tool for analysing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults in the bearing elements. In this article, manufacturing faults on the outer ring of tapered roller bearings due to the grinding process in manufacturing are investigated. Nine different real values wavelets (Symlet-2, Symlet-5, Symlet-8, db02, db06, db10, db14, Meyer, and Morlet) are compared according to the Energy-to-Shannon-Entropy ratio criteria, and which is efficient for detecting the manufacturing faults is determined. Finally, experiments are carried out on a test rig for determining the geometrical size of the manufacturing faults with all wavelets directly from the vibration signature the result of db02, Symlet-5, and Morlet wavelets are presented. When modelling the bearing structure as an under-damped second-order mass-spring-damper mechanical system, its unit impulse response function is compared to the wavelets on the basis of their Energy-to-Shannon-Entropy ratio to determine the fault size from the vibration signal. The proposed technique has been successfully implemented for measuring defect widths. The maximum deviation in result has been found to be 4.12 % for the defect width which was verified with image analysis methods using an optical microscope and contact measurement.
UR  - https://www.sv-jme.eu/article/optimal-wavelet-selection-for-the-size-estimation-of-manufacturing-defects-of-tapered-roller-bearings-with-vibration-measurement-using-shannon-entropy-criteria/
Deák, Krisztián, Mankovits, Tamás, AND Kocsis, Imre.
"Optimal Wavelet Selection for the Size Estimation of Manufacturing Defects of Tapered Roller Bearings with Vibration Measurement using Shannon Entropy Criteria" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 63 Number 1 (27 June 2018)

Authors

Affiliations

  • University of Debrecen, Faculty of Engineering, Hungary 1

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 63(2017)1, 3-14

https://doi.org/10.5545/sv-jme.2016.3989

Fault diagnosis of bearings is essential in manufacturing to increase quality. Traditionally, fault diagnosis of tapered roller element bearings is performed by signal processing methods, which handle the nonstationary behaviour of the signal. The wavelet transform is an efficient tool for analysing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults in the bearing elements. In this article, manufacturing faults on the outer ring of tapered roller bearings due to the grinding process in manufacturing are investigated. Nine different real values wavelets (Symlet-2, Symlet-5, Symlet-8, db02, db06, db10, db14, Meyer, and Morlet) are compared according to the Energy-to-Shannon-Entropy ratio criteria, and which is efficient for detecting the manufacturing faults is determined. Finally, experiments are carried out on a test rig for determining the geometrical size of the manufacturing faults with all wavelets directly from the vibration signature the result of db02, Symlet-5, and Morlet wavelets are presented. When modelling the bearing structure as an under-damped second-order mass-spring-damper mechanical system, its unit impulse response function is compared to the wavelets on the basis of their Energy-to-Shannon-Entropy ratio to determine the fault size from the vibration signal. The proposed technique has been successfully implemented for measuring defect widths. The maximum deviation in result has been found to be 4.12 % for the defect width which was verified with image analysis methods using an optical microscope and contact measurement.

condition monitoring; bearing vibration analysis; wavelet; entropy; dynamic model