Detecting Broken Rotor Bars With Zero-Setting Protection

Pezzani, Carlos M.; Donolo, Pablo; Bossio, Guillermo R.; Donolo, Marcos; Guzmán, Armando; Zocholl, S.E.

doi:10.1109/tia.2013.2276116

Cited by 39 publications

(17 citation statements)

References 12 publications

(15 reference statements)

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“…5) The spectrum of the projected current is computed (27). 6) The frequency axis of this spectrum is re-scaled using (28), so that each harmonic associated to the machine's fault in this harmonic order spectrum appear exactly at an integer harmonic order index (29). 7) The harmonic order spectrum is reduced by keeping only the amplitudes of the components with integer harmonic order.…”

Section: Harmonic Order Tracking Analysis Of Induction Machines Fmentioning

confidence: 99%

“…• Oscillating mechanical loads, fluctuations of the supply voltage [28], or even the rotor axial ducts [29] may introduce new harmonics in the current's spectrum that, in some cases, appear as false fault harmonics, both in MCSA and HOTA. The use of sidebands around higher order harmonics [28], or the analysis of the current in transient regime [29], [30], among others, have been proposed to solve this problem. To address this problem, the extension of the HOTA approach to the diagnosis of inductions machines in transient conditions is under development at this moment.…”

Section: Practical Limitations Of the Proposed Approachmentioning

confidence: 99%

See 1 more Smart Citation

Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines

Sapena-Bañó

Pineda-Sánchez

Puche-Panadero

et al. 2015

IEEE Trans. Energy Convers.

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The diagnosis of induction machines using the Fourier transform relies on tracking the frequency signature of each type of fault in the current's spectrum. But this signature depends on the machine's slip and the supply frequency, so it must be recomputed for each working condition, by trained personnel or by diagnostic software. Besides, sampling the current at high rates during long times is needed to achieve a good spectral resolution, which requires a large memory space to store and process the current spectra. In this paper, a novel approach is proposed to solve both problems. It is based on the fact that each type of fault generates a series of harmonics in the current's spectrum, whose frequencies are multiples of a characteristic main fault frequency. The tracking analysis of the fault components using the harmonic order (defined as the frequency in per unit of the main fault frequency) as independent variable, instead of the frequency, generates a unique fault signature, which is the same for any working condition. Besides, this signature can be concentrated in just a very small set of values, the amplitudes of the components with integer harmonic order. This new approach is introduced theoretically and validated experimentally.

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Section: Harmonic Order Tracking Analysis Of Induction Machines Fmentioning

confidence: 99%

Section: Practical Limitations Of the Proposed Approachmentioning

confidence: 99%

Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines

Sapena-Bañó

Pineda-Sánchez

Puche-Panadero

et al. 2015

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

show abstract

“…Nowadays, more and more industrial electrical drives tend to be supervised by such techniques [7]. Among possible IM faults, researchers mostly deal with stator winding faults [8][9][10], or different mechanical faults [11] like bearing faults [12,13], rotor eccentricities [14,15], and rotor electrical asymmetry due to broken rotor bars (BRB) or end-ring segments [16,17]. Some of the methods could also be used for the detection of mixed faults [18,19].…”

Section: Introductionmentioning

confidence: 99%

Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring

et al. 2019

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This paper presents a method for the detection of broken rotor bars in an induction motor. After introducing a simplified dynamic model of an induction motor with broken cage bars in a rotor field reference frame which allows for observation of its internal states, a fault detection algorithm is proposed. Two different motor estimation models are used, and the difference between their rotor flux angles is extracted. A particular frequency component in this signal appears only in the case of broken rotor bars. Consequently, the proposed algorithm is robust enough to load oscillations and/or machine temperature change, and also indicates the fault severity. The method has been verified at different operating points by simulations as well as experimentally. The fault detection is reliable even in cases where traditional methods give ambiguous verdicts.

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“…Thus, the methods based on negative current and impedance are applied to stator monitoring [19]. Many signal spectrum analysis techniques [16,[20][21][22] based on time domain, frequency domain, and time-frequency domain of motor current signature analysis (MCSA) are proposed to analyze the (1 − 2s)f 1 characterization for rotor fault detection, where s is the slip and f 1 represents the base frequency. The fast Fourier transform (FFT) is used for the MCSA.…”

Section: Introductionmentioning

confidence: 99%

Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection

et al. 2019

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Inverter-fed induction motors (IMs) contain a serious of current harmonics, which become severer under stator and rotor faults. The resultant fault components in the currents affect the monitoring of the motor status. With this background, the fault components in the electromagnetic torque under stator faults considering harmonics are derived in this paper, and the fault components in current harmonics under rotor faults are analyzed. More importantly, the monitoring based on the fault characteristics (both in the torque and current) is proposed to provide reliable stator and rotor fault diagnosis. Specifically, the fault components induced by stator faults in the electromagnetic torque are discussed in this paper, and then, fault components are characterized in the torque spectrum to identify stator faults. To achieve so, a full-order flux observer is adopted to calculate the torque. On the other hand, under rotor faults, the sidebands caused by time and space harmonics in the current are analyzed and exploited to recognize rotor faults, being the motor current signature analysis (MCSA). Experimental tests are performed on an inverter-fed 2.2 kW/380 V/50 Hz IM, which verifies the analysis and the effectiveness of the proposed fault diagnosis methods of inverter-fed IMs.

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Detecting Broken Rotor Bars With Zero-Setting Protection

Cited by 39 publications

References 12 publications

Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines

Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines

Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring

Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection

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