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Year 2024, Volume: 12 Issue: 3, 1640 - 1647, 31.07.2024

Abstract

References

  • [1] H. Arslan, E. Aslan, and N. Akturk. “Investigation of vibrations due to ball bearing defects,” Journal of the Faculty of Engineering and Architecture of Gazi University, 21 (2006), 541–552
  • [2] S. Orhan, N. Akturk, and V. Celik. “Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: Comprehensive case studies, ” NDT & E International 39 (2006), no. 4, 293 – 298
  • [3] H.R. Martin and F. Honarvar. “Application of statistical moments to bearing failure detection,” Applied Accustics, 44 (1995), 67–77
  • [4] J.P Dron, L Rasolofondraibe, F Bolaers, and A Pavan.“High-resolution methods in vibratory analysis: application to ball bearing monitoring and production machine,” International Journal of Solids and Structures 38 (2001), no. 24, 4293 – 4313
  • [5] T. Wang, M. Liang, J. Li, W. Cheng, and C. Li. “Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification, ” Mechanical Systems and Signal Processing 62-63 (2015), 30 – 53
  • [6] H. Saruhan, S. Sarıdemir, A. Cicek, and I. Uygur. “Vibration analysis of rolling element bearings defects, ” Journal of Applied Research and Technology 12 (2014), 384–395 [7] S. Kulaç. “A Signal Processing Approach for the Failure Analysis of Rolling-Element Bearing of Vehicle Brake Tester Used at a Vehicle Inspection Station. ” 17th IEEE East-West Design & Test Symposium IEEE EWDTS’19, BATUMI, GEORGIA
  • [8] N.W. Nirwan. and H. B. Ramani. "Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis." Materials Today: Proceedings 51 (2022): 344-354.
  • [9] S. Patel and S. Patel. “Research progress on bearing fault diagnosis with signal processing methods for rolling element bearings.” Noise & Vibration Worldwide. 2023;0(0). doi:10.1177/09574565231222615
  • [10] Z. Wang et al. "Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations." Measurement 222 (2023): 113614.

Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester

Year 2024, Volume: 12 Issue: 3, 1640 - 1647, 31.07.2024

Abstract

Vehicles with different weights are subjected to vehicle brake tests at vehicle inspection stations at regular intervals due to government regulations. Safety and efficacy of vehicle roller brake testers are important for reliable inspections at vehicle inspection stations. Rolling-element bearing used in vehicle roller brake tester is the main cause of problems. In this study, total energy, mean, variance, cross-correlation and correlation coefficient values of median filtered signals were calculated based on the signals obtained using real-time vibration measurement data. With this study, it has been confirmed that, over time, the values acquired by all the methods go up and exceed the thresholds identified. Proposed majority rule based combined excession of these thresholds expresses that the rolling-element bearing used in a vehicle roller brake tester is too close to a mechanical fault.

References

  • [1] H. Arslan, E. Aslan, and N. Akturk. “Investigation of vibrations due to ball bearing defects,” Journal of the Faculty of Engineering and Architecture of Gazi University, 21 (2006), 541–552
  • [2] S. Orhan, N. Akturk, and V. Celik. “Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: Comprehensive case studies, ” NDT & E International 39 (2006), no. 4, 293 – 298
  • [3] H.R. Martin and F. Honarvar. “Application of statistical moments to bearing failure detection,” Applied Accustics, 44 (1995), 67–77
  • [4] J.P Dron, L Rasolofondraibe, F Bolaers, and A Pavan.“High-resolution methods in vibratory analysis: application to ball bearing monitoring and production machine,” International Journal of Solids and Structures 38 (2001), no. 24, 4293 – 4313
  • [5] T. Wang, M. Liang, J. Li, W. Cheng, and C. Li. “Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification, ” Mechanical Systems and Signal Processing 62-63 (2015), 30 – 53
  • [6] H. Saruhan, S. Sarıdemir, A. Cicek, and I. Uygur. “Vibration analysis of rolling element bearings defects, ” Journal of Applied Research and Technology 12 (2014), 384–395 [7] S. Kulaç. “A Signal Processing Approach for the Failure Analysis of Rolling-Element Bearing of Vehicle Brake Tester Used at a Vehicle Inspection Station. ” 17th IEEE East-West Design & Test Symposium IEEE EWDTS’19, BATUMI, GEORGIA
  • [8] N.W. Nirwan. and H. B. Ramani. "Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis." Materials Today: Proceedings 51 (2022): 344-354.
  • [9] S. Patel and S. Patel. “Research progress on bearing fault diagnosis with signal processing methods for rolling element bearings.” Noise & Vibration Worldwide. 2023;0(0). doi:10.1177/09574565231222615
  • [10] Z. Wang et al. "Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations." Measurement 222 (2023): 113614.
There are 9 citations in total.

Details

Primary Language English
Subjects Electrical Engineering (Other), Dynamics, Vibration and Vibration Control
Journal Section Articles
Authors

Selman Kulaç 0000-0002-7737-1569

Publication Date July 31, 2024
Submission Date October 31, 2023
Acceptance Date January 7, 2024
Published in Issue Year 2024 Volume: 12 Issue: 3

Cite

APA Kulaç, S. (2024). Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, 12(3), 1640-1647.
AMA Kulaç S. Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester. DUBİTED. July 2024;12(3):1640-1647.
Chicago Kulaç, Selman. “Majority Rule-Based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi 12, no. 3 (July 2024): 1640-47.
EndNote Kulaç S (July 1, 2024) Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12 3 1640–1647.
IEEE S. Kulaç, “Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester”, DUBİTED, vol. 12, no. 3, pp. 1640–1647, 2024.
ISNAD Kulaç, Selman. “Majority Rule-Based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12/3 (July 2024), 1640-1647.
JAMA Kulaç S. Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester. DUBİTED. 2024;12:1640–1647.
MLA Kulaç, Selman. “Majority Rule-Based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, vol. 12, no. 3, 2024, pp. 1640-7.
Vancouver Kulaç S. Majority Rule-based Vibrational Signal Analysis Method for the Fault Diagnosis of Rolling-Element Bearing of Vehicle Brake Tester. DUBİTED. 2024;12(3):1640-7.