Spectral Analysis Using a Hall Effect Sensor for Diagnosing Broken Bars in Large Induction Motors

Dias, Cleber Gustavo; Chabu, Ivan Eduardo

doi:10.1109/tim.2014.2328184

Cited by 47 publications

(26 citation statements)

References 24 publications

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“…For each motor, the simulation took into account a mathematical model developed in [46], i.e., the magnetic flux density in the Hall Effect sensor to evaluate broken bars in the rotor cage. This model was also applied in [44] to evaluate the broken rotor bars in frequency domain, but in steady-state. In this case, the model was simulated in the MATLAB/Simulink software.…”

Section: Computational Simulation Resultsmentioning

confidence: 99%

“…As mentioned before, in this paper, the magnetic air gap disturbances have been used to evaluate the rotor condition. Other works have demonstrated the possibility to detect broken rotor bars using this kind of signal and a Hall sensor installed between two stator slots of the machine [19,38,39,44]. In [45], an array of Hall effect sensors was installed around the stator circumference inside the motor air gap to detect rotor bar damage and stator turn-to-turn shorts.…”

Section: Air Gap Disturbances Monitoring Using a Hall Effect Sensormentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy-Based Statistical Feature Extraction for Detecting Broken Rotor Bars in Line-Fed and Inverter-Fed Induction Motors

2019

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This paper presents the use of a fuzzy-based statistical feature extraction from the air gap disturbances for diagnosing broken rotor bars in large induction motors fed by line or an inverter. The method is based on the analysis of the magnetic flux density variation in a Hall Effect Sensor, installed between two stator slots of the motor. The proposed method combines a fuzzy inference system and a support vector machine technique for time-domain assessment of the magnetic flux density, in order to detect a single fault or multiple broken bars in the rotor. In this approach, it is possible to detect not only the existence of failures, but also its severity. Moreover, it is not necessary to estimate the slip of the motor, usually required by other methods and the damaged rotor detection was also evaluated for oscillating load conditions. Thus, the present approach can overcome some drawbacks of the traditional MCSA method, particularly in operational cases where false positive and false negative indications are more frequently. The efficiency of this approach has been proven using some computational simulation results and experimental tests to detect fully broken rotor bars in a 7.5 kW squirrel cage induction machine fed by line and an inverter.

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Section: Computational Simulation Resultsmentioning

confidence: 99%

Section: Air Gap Disturbances Monitoring Using a Hall Effect Sensormentioning

confidence: 99%

Fuzzy-Based Statistical Feature Extraction for Detecting Broken Rotor Bars in Line-Fed and Inverter-Fed Induction Motors

2019

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“…Some studies carried on industrial facilities show satisfying results regarding the fault detection and identification (Thompson and Fenger, 2003;Bouzida, et al, 2011;Dias and Chabu, 2014). On the other hand, it is important to mention that the ISSN 1794-1237 / Volumen 16 / Número 31 / Enero-Junio 2019 / pp.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Positive Sequence Current / Negative Sequence Current Ratio for Fault Detection in Induction Motors

Castillo

Méndez

2019

reveia

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This paper studied the use of a new stator current feature for detection of winding and cage bars faults in an induction motor, and presents the experimental validation of a detection and identification scheme using Support Vector Machines (SVM). This validation was performed in a test bed using 2 HP, 4 pole motors in which shorted winding and broken bars faults were induced, separately. Both time and frequency domain features like arithmetic mean, RMS value, Central Frequency, Kurtosis, RMS value of Power Spectral Density were assessed and validated using experimental data for several load conditions. PSC/NSC (positive sequence current/ negative sequence current) ratio was successful in most of the classifiers despite the load regime. This new feature was evaluated in terms of fault detection and severity discrimination with satisfactory results.

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“…Recently, the study was extended to cover orientation as well as 3D localization under a spatial test region [12]. Spectral analysis of magnetic measurement was also performed for estimating the compensation coefficients of a fluxgate sensor via the harmonic decomposition method [13], for identifying the orbit semi-major axis regardless of satellite attitude [14], and for designing an invasive diagnosis method to detect broken rotor bars in large induction machines [15]. Although relevant works are scarce, the frequency domain analysis of magnetic data is expected to have wider applications because of its advantage of allowing measurement unaffected by inertial disturbance, wide bandwidth, and the penetrating characteristics of a magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Study on Improved Flight Coefficient Estimation and Trajectory Analysis of a Flying Disc through Onboard Magnetometer Measurements

Lee

Song

et al. 2018

Sensors

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This paper proposes a novel and accurate method for estimating the flight coefficient of a flying disc typically operating at a high rotation rate. In particular, the proposed method introduces a new algorithm that takes advantage of magnetic data measured by a miniaturized sensor module onboard a conventional disc. Since the geomagnetic field measured by the magnetic sensor mounted on the rotating body yields a general sinusoidal waveform, a frequency domain analysis is employed in computing the rotational rate. Furthermore, on the basis of the estimated rate during a whole flight period, a yaw damping derivative coefficient is derived, which enables an accurate prediction of the disc’s flight trajectory. For performance verification, both a reference rotation table test and a real flight test are performed, for which a miniaturized embedded sensor module is designed and manufactured for an onboard flight test. A reference rotation test validates the performance of the proposed method. Subsequently, a flight test, in which a simulator-based trajectory is compared with the true reference trajectory, verifies that the proposed method better predicts the flight trajectory by incorporating the estimated coefficient.

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Spectral Analysis Using a Hall Effect Sensor for Diagnosing Broken Bars in Large Induction Motors

Cited by 47 publications

References 24 publications

Fuzzy-Based Statistical Feature Extraction for Detecting Broken Rotor Bars in Line-Fed and Inverter-Fed Induction Motors

Fuzzy-Based Statistical Feature Extraction for Detecting Broken Rotor Bars in Line-Fed and Inverter-Fed Induction Motors

On the Use of Positive Sequence Current / Negative Sequence Current Ratio for Fault Detection in Induction Motors

Study on Improved Flight Coefficient Estimation and Trajectory Analysis of a Flying Disc through Onboard Magnetometer Measurements

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