Automatic Sensor less Rotational Velocity Estimation on Asynchronous Machines for Vibration Analysis

Authors

  • Ritesh G Upadhyay

Keywords:

Automated Analysis, Condition Based Maintenance, Condition Monitoring, Rotational Speed Estimation, Vibration Analysis

Abstract

Detection of incipient faults in rotating machinery is essential to optimize their availability. Online vibration monitoring is a widely recognized approach to gauge the health of machines such as induction motor driven centrifugal pumps. Common faults in such a set-up can be detected by analysing specific fault-related frequency components in the vibration signal, which are almost exclusively (harmonic) multiples of the rotational speed. However, the exact rotational speed is often unknown, which severely complicates the vibration analysis. Online vibration measurements can yield large amounts of data, which necessitates the automation of data processing. This paper presents a novel method that automatically determines the rotational speed from an individual vibration measurement using minimal prior knowledge of the measured system. The proposed method determines the rotational speed with a specified maximum error of 0.0165 Hz for 90.1 percent of cases in the recent dataset containing over 2300 measurements. This paper demonstrates that the proposed method significantly improves upon a comparable method from the literature, as shown through a benchmark comparison.

References

J. M. Danthez, C. Giroussens, and R. Aquilina, “The Auto coherent Spectrum: A Useful Spectral Estimator For Vibration Analysis Of Rotating Machinery Accurate Estimation And Cancellation Of Pure Tones,” Mechanical Systems and Signal Processing, vol. 12, no. 6, pp. 753–768, Nov. 1998, doi: https://doi.org/10.1006/mssp.1998.0175

R. Bonert, “Digital Tachometer with Fast Dynamic Response Implemented by a Microprocessor,” IEEE Transactions on Industry Applications, vol. IA-19, no. 6, pp. 1052–1056, Nov. 1983, doi: https://doi.org/10.1109/tia.1983.4504334

M. Aiello, A. Cataliotti, and S. Nuccio, “An Induction Motor Speed Measurement Method Based on Current Harmonic Analysis With the Chirp-Z Transform,” IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 5, pp. 1811–1819, Oct. 2005, doi: https://doi.org/10.1109/tim.2005.854246

B. Hebert, M. Brule, and L.-A. Dessaint, “A high efficiency interface for a biphase incremental encoder with error detection (servomotor control),” IEEE Transactions on Industrial Electronics, vol. 40, no. 1, pp. 155–156, Jan. 1993, doi: https://doi.org/10.1109/41.184832

R. W. A. A. D. Doncker and V. R. Stefanovic, “Microprocessor Control of Motor Drives and Power Converters,” IEEE Industry Application Society Annual, 1993, doi: https://openlibrary.org/books/OL11000795M/Microprocessor_Control_of_Motor_Drives_and_Power_Converters

J. Maščeník and S. Pavlenko, “Determining the Exact Value of the Shape Deviations of the Experimental Measurements,” Applied Mechanics and Materials, vol. 624, pp. 339–343, Aug. 2014, doi: https://doi.org/10.4028/www.scientific.net/amm.624.339

F. Blaschke, van, and A. Vandenput, “Sensorless direct field orientation at zero flux frequency,” Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting, vol. 1, pp. 189–196, Dec. 2002, doi: https://doi.org/10.1109/ias.1996.557014

H. Lin and K. Ding, “A new method for measuring engine rotational speed based on the vibration and discrete spectrum correction technique,” Measurement, vol. 46, no. 7, pp. 2056–2064, Apr. 2013, doi: https://doi.org/10.1016/j.measurement.2013.03.017

J. Mascenik, “Implementation of the Designed Program For Calculation and Check of Chain Gears,” MM Science Journal, vol. 2019, no. 05, pp. 3431–3434, Dec. 2019, doi: https://doi.org/10.17973/mmsj.2019_12_2019008

J. Holtz and Hangwen Pan, "Acquisition of rotor anisotropy signals in sensorless position control systems," in IEEE Transactions on Industry Applications, vol. 40, no. 5, pp. 1379-1387, Sept.-Oct. 2004, doi: https://doi.org/10.1109/TIA.2004.834053

H. Lv, L. Zhang, C. Yao, Q. Sun, J. Du, and X. Chen, “An Improved Permanent Magnet Synchronous Motor Rotor Position Observer Design Based on Error Harmonic Elimination,” Machines, vol. 10, no. 8, pp. 633–633, Jul. 2022, doi: https://doi.org/10.3390/machines10080633

N. Teske, G. M. Asher, M. Sumner, and K. J. Bradley, "Sensorless position estimation for symmetric cage induction motor under loaded conditions," Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129), Rome, Italy, 2000, pp. 1835-1841 vol.3, doi: https://doi.org/10.1109/IAS.2000.882129

K. Židek, J. Piteľ, M. Adámek, P. Lazorík, and A. Hošovský, “Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept,” Sustainability, vol. 12, no. 9, p. 3658, May 2020, doi: https://doi.org/10.3390/su12093658

M. Schroedl, "Sensorless control of AC machines at low speed and standstill based on the "INFORM" method," IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting, San Diego, CA, USA, 1996, pp. 270-277 vol.1, doi: https://doi.org/10.1109/IAS.1996.557028

T. Wu et al., "A Fast Estimation of Initial Rotor Position for Low-Speed Free-Running IPMSM," in IEEE Transactions on Power Electronics, vol. 35, no. 7, pp. 7664-7673, July 2020, doi: https://doi.org/10.1109/TPEL.2019.2958101

Published

2025-03-01

How to Cite

Ritesh G Upadhyay. (2025). Automatic Sensor less Rotational Velocity Estimation on Asynchronous Machines for Vibration Analysis. Journal of Advancement in Electronics Signal Processing, 8–21. Retrieved from https://matjournals.net/engineering/index.php/JoAESP/article/view/1469