Novel FPGA-based Methodology for Early Broken Rotor Bar Detection and Classification Through Homogeneity Estimation

Lizarraga-Morales, Rocio A.; Rodriguez-Donate, Carlos; Cabal-Yépez, Eduardo; Lopez–Ramirez, Misael; Ledesma-Carrillo, Luis M.; Ferrucho-Alvarez, Edna R.

doi:10.1109/tim.2017.2664520

Cited by 59 publications

(33 citation statements)

References 48 publications

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“…In a healthy machine, the potential difference was found to be zero, because the same voltage is generated in both coils, but under faulty conditions, the induced voltages are different, which gives a value of some potential difference. Stator transient current was used in [27] and the authors studied its homogeneity as the classification index. The author used the field programmable gate array (FPGA) for online homogeneity estimation, because of its suitability for rapid prototyping, high performance and low cost as claimed.…”

Section: Speed Sensorless Methods (Magnetic Field Space Vector Orimentioning

confidence: 99%

Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Asad

Rassõlkin

Kallaste

et al. 2018

Electrical, Control and Communication Engineering

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Digitalization of the industrial sector and Industry 4.0 have opened new horizons in many technical fields, including electrical machine diagnostics and operation, as well as machine condition monitoring. This paper addresses a selection of electrical machine diagnostics methods that are applicable for the use in the perspective of Industry 4.0, to be used in hand with cloud environments and the possibilities granted by the Internet of Things. The need for further research and development in the field is pointed out. Some potentially applicable future approaches are presented.

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Section: Speed Sensorless Methods (Magnetic Field Space Vector Orimentioning

confidence: 99%

Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Asad

Rassõlkin

Kallaste

et al. 2018

Electrical, Control and Communication Engineering

View full text Add to dashboard Cite

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“…The homogeneity approach is presented in [46] as a texture feature in the analysis of images. Recently, it has been also presented as a diagnosis index for a time-series signal [47]. In this index, a signal with soft changes presents a high homogeneity since it presents a high regularity; on the other hand, if the signal presents abrupt changes, e.g., the changes associated with PQDs, its homogeneity value will be low; in fact, it could change in a different way for each kind of PDQ.…”

Section: Homogeneitymentioning

confidence: 99%

“…Synthetic signals are used in many applications to validate and test new algorithms [42,47,48]; as the reference values are known a priori, errors or deviations from the expected values can be measured. In this regard, synthetic signals based on the mathematical models presented in [42] are used to validate the proposal.…”

Section: Validationmentioning

confidence: 99%

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

et al. 2018

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Over the past few years, power quality (PQ) monitoring has become of paramount importance for utilities and users since poor PQ generates negative consequences. In monitoring, fast detection and accurate classification of PQ disturbances (PQDs) are desirable features. In this work, a new method to detect and classify PQDs is proposed. The proposal takes advantage of the low computational resources of both a phasor measurement unit (PMU)-based signal processing scheme and the homogeneity approach. To classify the PQDs, if–then–else rules are used. To validate and test the proposal, synthetic and real signals of sags, swells, interruptions, notching, spikes, harmonics, and oscillatory transients are considered. For the generation of real signals, a PQD generator based on a power inverter is used. In the proposed method, the PMU information is directly used to classify sags, swells, and interruptions, whereas the homogeneity index is used to distinguish among the remaining PQDs. Results show that the proposal is an effective and suitable tool for PQ monitoring.

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“…Several sensing techniques have been researched in the field of BRB fault diagnosis. For example, motor current signature analysis (MCSA) [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] is the mainstream technique, and the motor vibration signature analysis (MVSA) [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] technique is commonly used for diagnosing the presence of BRB failures. However, the sound measurement [32], temperature measurement [33], and magnetic field analysis [34] have been used less due to the inference of external factors.…”

Section: Introductionmentioning

confidence: 99%

An Improved Cyclic Modulation Spectral Analysis Based on the CWT and Its Application on Broken Rotor Bar Fault Diagnosis for Induction Motors

Zhen

Wang

et al. 2019

Applied Sciences

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Induction motors (IMs) are widely used in many manufacturing processes and industrial applications. The harsh work environment, long-time enduring, and overloads mean that it is subjected to broken rotor bar (BRB) faults. The vibration signal of IMs with BRB faults consists of the reliable modulation information used for fault diagnosis. Cyclostationary analysis has been found to be effective in identifying and extracting fault feature. The estimators of cyclic modulation spectrum (CMS) and fast spectral correlation (FSC) based on the short-time fourier transform (STFT) have higher cyclic frequency resolution, which has proven efficient in demodulating second order cyclostationary (CS2) signals. However, these two estimators have limitations of processing the maximum cyclic frequency αmax that is smaller than Fs/2 (Fs is the sampling frequency) according to Nyquist’s Theorem. In addition, they have lower carrier frequency resolution due to the fixed window size used in STFT. In order to resolve the initial shortcomings of the CMS and FSC methods, in this paper, we extended the analysis of CMS algorithm based on the continuous wavelet transform (CWT), which enlarged the maximum cyclic frequency range to Fs/2 and provides higher carrier frequency resolution because the CWT has the advantage of multi-resolution analysis. The reliability and applicability of the proposed method for fault components localization were validated by CS2 simulation signals. Compared to CMS and FSC methods, the proposed approach shows better performance by analyzing vibration signals between healthy motor and faulty motor with one BRB fault under 0%, 20%, 40%, and 80% load conditions.

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Novel FPGA-based Methodology for Early Broken Rotor Bar Detection and Classification Through Homogeneity Estimation

Cited by 59 publications

References 48 publications

Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

An Improved Cyclic Modulation Spectral Analysis Based on the CWT and Its Application on Broken Rotor Bar Fault Diagnosis for Induction Motors

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