A Frequency Demodulation Approach to Induction Motor Speed Detection

Gao, Zhi; Turner, Loren; Colby, R.S.; Leprettre, Benoit

doi:10.1109/tia.2011.2153813

Cited by 43 publications

(15 citation statements)

References 32 publications

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“…In addition, due to the number of rotor slot, the PSH detected is generated by the 17th reverse rotating space harmonics [31]. Hence, the angle between adjacent phases is 240 degrees in the Fig.…”

Section: Diagnosis Based On the Adjacent Phase-shift Of Pshmentioning

confidence: 99%

Stator inter-turn fault detection for the converter-fed induction motor based on the adjacent-current phase-shift

Liu

Huang

Cheng

et al. 2014

2014 17th International Conference on Electrical Machines and Systems (ICEMS)

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This paper presents a sensorless on-line Motor Current Signature Analysis (MCSA) method to detect and locate an inter-turn short-circuited fault in the stator winding of the induction machine (IM). It is appropriate for the monitoring of Volts/Hertz controlled inverter-fed systems. The phase-shifts between adjacent line currents of both fundamental harmonic and principal slot harmonic (PSH) are analyzed. Then the fault severity and the fault location feature are derived, respectively. For the purpose of phase signal extraction, synchronous reference frame filter and adaptive phase locked loop (PLL) are integrated into the monitoring system. The robustness and effectiveness of the proposed scheme has been validated by means of laboratory tests.

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Section: Diagnosis Based On the Adjacent Phase-shift Of Pshmentioning

confidence: 99%

Stator inter-turn fault detection for the converter-fed induction motor based on the adjacent-current phase-shift

Liu

Huang

Cheng

et al. 2014

2014 17th International Conference on Electrical Machines and Systems (ICEMS)

View full text Add to dashboard Cite

show abstract

“…A better alternative is to use an FIR differentiator as in (10) to approximate the time derivative of the IPA with a smaller estimation error. This FIR differentiator implements a numerical differentiation formula from the Lagrange polynomial approximation [11], [12]. A fourth-order FIR differentiator is illustrated in Fig.…”

Section: B Fir Differentiatormentioning

confidence: 99%

Frequency demodulation-aided condition monitoring for drivetrain gearboxes

Wang

2013

2013 IEEE Transportation Electrification Conference and Expo (ITEC)

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Abstract-Condition monitoring and fault diagnosis (CMFD) of drivetrain gearboxes has become a prominent challenge in assorted industries. Current-based diagnostic techniques have significant advantages over traditional vibration-based techniques in terms of accessibility, cost, implementation and reliability. This paper proposes a current-based, frequency demodulation-aided CMFD method for drivetrain gearboxes. A mathematical model is developed for a drivetrain consisting of a two-stage gearbox and a permanent magnet synchronous generator (PMSG), from which the characteristic frequencies of gearbox faults in the PMSG stator current are derived. An adaptive signal resampling method is proposed to convert the variable fault characteristic frequencies to constant values for the drivetrain running at variable speed conditions. A demodulation method, combining the Hilbert transform, a finite impulse response (FIR) differentiator, and a phase unwrapping algorithm, is developed to extract the instantaneous frequency (IF) patterns that are related to the faultinduced gearbox vibration. A fault detector is proposed for diagnosis of gearbox faults using statistical analysis on the extracted fault signatures. Experimental studies are carried out to validate the effectiveness of the proposed method.

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“…2(b) corresponds to positive-sequence voltage components at various frequencies, while the negative-frequency part corresponds to negative-sequence voltage components at various frequencies [6], [14]. Note that the power system harmonics at −300 and 420 Hz are the primary cause of the hexagon-shaped v C,n trajectory in Fig.…”

Section: A Complex Voltage Vectormentioning

confidence: 99%

Supply frequency tracking in resistance-based induction motor rotor temperature estimation

Gao

Colby

Turner

2012

2012 IEEE Energy Conversion Congress and Exposition (ECCE)

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In resistance-based rotor temperature estimation schemes, a rotor temperature is derived from a resistance quantity based on an induction motor equivalent circuit model. This temperature is susceptible to fluctuations in the motor's supply frequency. In this paper, a complex adaptive phase discriminator is proposed to track supply frequency fluctuations for grid-connected induction motors. A frequency-selective digital filter is applied to attenuate harmonics and interferences in a complex voltage vector.The complex adaptive phase discriminator then iteratively adapts the phase of a complex exponential to align a complex reference signal with a complex primary signal. The power grid's supply frequency is directly estimated from the adapted phase on a sample-by-sample basis. Experimental results demonstrate that the proposed complex adaptive phase discriminator helps produce rotor temperature estimates with an increased accuracy.

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A Frequency Demodulation Approach to Induction Motor Speed Detection

Cited by 43 publications

References 32 publications

Stator inter-turn fault detection for the converter-fed induction motor based on the adjacent-current phase-shift

Stator inter-turn fault detection for the converter-fed induction motor based on the adjacent-current phase-shift

Frequency demodulation-aided condition monitoring for drivetrain gearboxes

Supply frequency tracking in resistance-based induction motor rotor temperature estimation

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