Using Mechanical Vibration to Estimate Rotor Speed in Induction Motor Drives

Wu, Dezheng; Pekarek, Steve

doi:10.1109/pesc.2007.4342390

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Generally, due to motor imperfections, a vibrations measurement provides a signal that can contain harmonic components at specific frequencies as motor speed, electrical frequency and possible electrical or mechanical faults. This information is accessible by spectral analysis and a precise location of particular spectral components [20]:…”

Section: Vibration Modelmentioning

confidence: 99%

A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

et al. 2019

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This work is supported by a company wishing to develop new products in the field of energy monitoring in industry. It concerns the real-time estimation of the electrical consumption of an asynchronous motor without electrical measurement. The challenge consists of estimating the characteristic quantities of the motor (speed, torque, powers, efficiency) with only one vibratory measurement, information on the nameplate and commercial documentation available online. To obtain a real-time estimate, traditional FFT analysis is replaced by a PLL initially designed for power grid analysis. So, the second challenge is to modify this PLL for use with vibratory measurement characterized by a low signal-to-noise ratio, amplitude variations and a non-stationary behavior. A complete design and experimental tests are presented to validate the proposed approach.

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Section: Vibration Modelmentioning

confidence: 99%

A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

et al. 2019

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“…Another application of this work is UUV navigation and localization. Onboard the vehicle, the navigation system could use the vibro-acoustic signals from the motor as a low-cost method to measure propeller rotation rate, instead of relying on a costly optical encoder [27]. Lastly, motor noise could be used for UUV localization and tracking generally, as an alternative or supplemental method to acoustic positioning systems.…”

Section: Summary Of Contributionsmentioning

confidence: 99%

Advances in passive acoustic detection, localization, and tracking applied to unmanned underwater vehicles

Kita¹

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Detection, classification, localization, and tracking (DCLT) of unmanned underwater vehicles (UUVs) in the presence of shipping traffic is a critical task for passive acoustic harbor security systems. In general, vessels can be tracked by their unique acoustic signature due to machinery vibration and cavitation noise. However, cavitation noise of UUVs is considerably quieter than ships and boats, making detection significantly more challenging. In this thesis, I demonstrated that it is possible to passively track a UUV from its highfrequency motor noise using a stationary array in shallow-water experiments with passing boats. First, causes of high frequency tones were determined through direct measurements of two UUVs at a range of speeds. From this analysis, common and dominant features of noise were established: strong tones at the motor’s pulse-width modulated frequency and its harmonics. From the unique acoustic signature of the motor, I derived a high-precision, remote sensing method for estimating propeller rotation rate. In shallow-water UUV field experiments, I demonstrated that detecting a UUV from motor noise, in comparison to broadband noise from the vehicle, reduces false alarms from 45% to 8.4% for 90% true detections. Beamforming on the motor noise, in comparison to broadband noise, improved the bearing accuracy by a factor of 3.2×. Because the signal is also high-frequency, the Doppler effect on motor noise is observable and I demonstrate that range rate can be measured. Furthermore, measuring motor noise was a superior method to the “detection of envelope modulation on noise” algorithm for estimating the propeller rotation rate. Extrapolating multiple measurements from the motor signature is significant because Bearing-Doppler-RPM measurements outperform traditional bearing-Doppler target motion analysis. In the unscented Kalman filter implementation, the tracking solution accuracy for bearing, bearing rate, range, and range rate improved by a factor 2.2×, 15.8×, 3.1×, and 6.2× respectively. These findings are significant for improving UUV localization and tracking, and for informing the next-generation of quiet UUV propulsion systems.

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Application of Piezoelectric Sensors to Rotor Fault Diagnostics in Squirrel-Cage Induction Machines

Sizov

Yeh

Demerdash

2008

2008 IEEE Industry Applications Society Annual Meeting

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Using Mechanical Vibration to Estimate Rotor Speed in Induction Motor Drives

Cited by 4 publications

References 23 publications

A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

A PLL-Based Online Estimation of Induction Motor Consumption Without Electrical Measurement

Advances in passive acoustic detection, localization, and tracking applied to unmanned underwater vehicles

Application of Piezoelectric Sensors to Rotor Fault Diagnostics in Squirrel-Cage Induction Machines

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