New Method Using Piezoelectric Jerk Sensor to Detect Roller Bearing Failure

Nobuhiko Henmi; Shingo Takeuchi

doi:10.20965/ijat.2013.p0550

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IJAT Vol.7 No.5 pp. 550-557

doi: 10.20965/ijat.2013.p0550

(2013)

Paper:

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New Method Using Piezoelectric Jerk Sensor to Detect Roller Bearing Failure

Nobuhiko Henmi and Shingo Takeuchi

Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan

Received:

March 20, 2013

Accepted:

July 9, 2013

Published:

September 5, 2013

Keywords:

piezoelectric jerk sensor, rolling bearing, failure diagnosis, low speed rotation

Abstract

An acceleration sensor is usually used to examine for roller bearing damage. It is difficult, however, to detect abnormal vibration and examine for roller bearing damage when rotation speed is low. The final target of this study is to establish a bearing damage diagnosis system based on the piezoelectric jerk sensor we developed, which can be used for both low- and highspeed rotations. For this purpose, this paper aims to identify the features of an abnormal vibration detection signal at a low rotation speed, propose a new roller bearing damage diagnosis method that uses the features, and clarify the validity of the method. Experiments are conducted to analyze a scratch purposely made on the outer ring of a conical roller bearing that rotates at the low speeds of 10 or 40 rpm. The results verify the advantages of using the jerk sensor for the bearing damage diagnosis and the validity of the method proposed in this paper.

Cite this article as:

N. Henmi and S. Takeuchi, “New Method Using Piezoelectric Jerk Sensor to Detect Roller Bearing Failure,” Int. J. Automation Technol., Vol.7 No.5, pp. 550-557, 2013.

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References

[1] T. Flash and N. Hogan, “The Coordination of Arm Movements: Experimentally Confirmed Mathematical Model,” The J. of Neuroscience, Vol.5, No.7, pp. 1688-1703, 1985.
[2] F. Ridwan and X. Xu, “Advanced CNC System with in-Process Feed-Rate Optimization,” Robotics and Computer-Integrated Manufacturing, Vol.29, pp. 12-20, 2013.
[3] N. Henmi, K. Ikeda, S. Akashi, and M. Tanaka, “A Study of a Novel Piezoelectric Jerk Sensor,” Proc. 1st Int. Conf. Positioning Tech., pp. 333-334, Nov. 2004.
[4] N. Henmi, K. Yoshimura, M. Tanaka, and M. Yamak, “A Piezoelectric Jerk Sensor – Performance of Prototype Sensor –,” Trans. Japan Soc. Automotive Engineers, Vol.41, pp. 425-430, Mar. 2010. (in Japanese)
[5] Editorial Comittee of Encyclipedia on Equipment Management Technology, “Encyclipedia on Equipment Management Technology,” Industrial Technology Service Center Co. Ltd, Tokyo, pp. 453-588, 2003. (in Japanese)
[6] Y. Miyazaki, K. Doi, S. Komatsu, S. Sagisawa, and A. Oshitani, “Development of Portable Detector of Defects in Rolling Bearings,” Kawasaki Steel Technical Report, Vol.13, No.3, pp. 451-469, 1981. (in Japanese)
[7] R. B. Randall and J. Antoni, “Rolling element bearing diagnostics – A tutorial,” Mechanical Systems and Processing, Vol.25, pp. 485-520, 2011.
[8] R. Nowucki, R. Slowinski, and J. Stefanowiski, “Rough Sets analysis of Diagnostic Capacity of Vibroacoustic Symptoms,” Computer and Mathematics with Applications, Vol.24, Issue 7, pp. 109-123, 1992.
[9] T. Sako, “Diagnostic Technique for Low Speed Rolling Bearings,” Inspection Engineering, Vol.2, No.3, pp. 30-37, 1997. (in Japanese)
[10] Y. Akechi, S. Midorikawa, and S. Kobayashi, “Online Monitoring Technology by Analysis of Highly Accurate Oscillatory Waveform to Diagnose Abnormality of Machines,” JFE Technical Report, No.27, pp. 20-25, 2011. (in Japanese)

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] T. Flash and N. Hogan, “The Coordination of Arm Movements: Experimentally Confirmed Mathematical Model,” The J. of Neuroscience, Vol.5, No.7, pp. 1688-1703, 1985.

[2] [2] F. Ridwan and X. Xu, “Advanced CNC System with in-Process Feed-Rate Optimization,” Robotics and Computer-Integrated Manufacturing, Vol.29, pp. 12-20, 2013.

[3] [3] N. Henmi, K. Ikeda, S. Akashi, and M. Tanaka, “A Study of a Novel Piezoelectric Jerk Sensor,” Proc. 1st Int. Conf. Positioning Tech., pp. 333-334, Nov. 2004.

[4] [4] N. Henmi, K. Yoshimura, M. Tanaka, and M. Yamak, “A Piezoelectric Jerk Sensor – Performance of Prototype Sensor –,” Trans. Japan Soc. Automotive Engineers, Vol.41, pp. 425-430, Mar. 2010. (in Japanese)

[5] [5] Editorial Comittee of Encyclipedia on Equipment Management Technology, “Encyclipedia on Equipment Management Technology,” Industrial Technology Service Center Co. Ltd, Tokyo, pp. 453-588, 2003. (in Japanese)

[6] [6] Y. Miyazaki, K. Doi, S. Komatsu, S. Sagisawa, and A. Oshitani, “Development of Portable Detector of Defects in Rolling Bearings,” Kawasaki Steel Technical Report, Vol.13, No.3, pp. 451-469, 1981. (in Japanese)

[7] [7] R. B. Randall and J. Antoni, “Rolling element bearing diagnostics – A tutorial,” Mechanical Systems and Processing, Vol.25, pp. 485-520, 2011.

[8] [8] R. Nowucki, R. Slowinski, and J. Stefanowiski, “Rough Sets analysis of Diagnostic Capacity of Vibroacoustic Symptoms,” Computer and Mathematics with Applications, Vol.24, Issue 7, pp. 109-123, 1992.

[9] [9] T. Sako, “Diagnostic Technique for Low Speed Rolling Bearings,” Inspection Engineering, Vol.2, No.3, pp. 30-37, 1997. (in Japanese)

[10] [10] Y. Akechi, S. Midorikawa, and S. Kobayashi, “Online Monitoring Technology by Analysis of Highly Accurate Oscillatory Waveform to Diagnose Abnormality of Machines,” JFE Technical Report, No.27, pp. 20-25, 2011. (in Japanese)