AC motor instrumentation and main air gap flux measurement for fault diagnostics

Mirzaeva, Galina; Saad, Khalid

doi:10.1109/aupec.2013.6725460

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…that can be achieved by using the proposed model. In the case of the stator fault, the method is able to detect as incipient as 0.17% short of the total winding, to locate the position of the fault precisely and to detect the severity of the fault [15]. Other faults such as bearing fault will also be simulated and experimented with the proposed method.…”

Section: B Simulation Results Of the Mixed Eccentricity Faultmentioning

confidence: 98%

“…To the best of the authors' knowledge, the space harmonics distribution of the main air gap flux has not been analysed for fault detection yet. We have already established the effectiveness of our proposed system in case of detecting and locating the stator turn-to-turn fault at a very incipient stage in our previous work [15] and in this work we will focus on detecting the broken rotor bar fault and eccentricity.…”

Section: Introductionmentioning

confidence: 98%

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Fault diagnosis of induction motors by space harmonics analysis of the main air gap flux

Saad

Mirzaeva

2014

2014 International Conference on Electrical Machines (ICEM)

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A new fault diagnosis scheme based on the monitoring of main air gap flux of the three phase squirrel cage induction motor is proposed. Most of the existing electrical techniques of condition monitoring are based on the stator current and/or leakage flux measurement outside the motor. Besides, most of these methods only concentrate on the time harmonics analysis of the acquired signal. We propose to analyse the space harmonics of the main air gap electromagnetic flux along with the time domain analysis. To this aim, we propose to monitor the main air gap flux using Hall Effect Flux Sensors (HEFS) at all the stator slots of an induction motor, which can be used to address the stator and rotor slot effects not only through frequency analysis of the time varying magnetic flux, but also by magnitude and phase shift comparison of sensors located at different geometric positions around the stator. Moreover, by using HEFS in all the stator slots, the flux density along the circumference of the stator can be acquired and the space harmonics of the flux can be analysed, which shown promising results in detecting and locating different faults. In this paper, we concentrate on detecting different types of rotor faults such as broken rotor bar fault and eccentricity.

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Section: B Simulation Results Of the Mixed Eccentricity Faultmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Fault diagnosis of induction motors by space harmonics analysis of the main air gap flux

Saad

Mirzaeva

2014

2014 International Conference on Electrical Machines (ICEM)

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“…There are also other non‐invasive flux‐based techniques which use some sensors installed on the motor frame to monitor the stray magnetic flux [46–48]. Such techniques are not suitable for RTTF detection as the stray flux due to RTTFs in WRIMs is very small and probably undetectable [49]. In [46], several harmonic components of the voltages induced in those sensors are used to identify STTFs.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In contrast, some invasive methods have also been proposed to detect TTFs, as reported in [49–51]. The method in [49] measures the flux crossing each stator tooth, meaning that numerous sensors (as much as the number of stator slots) are needed to measure the air‐gap flux. In a similar manner, the total harmonic distortions (THD) of the induced voltages in the sensors are used in [50] to detect TTFs, by comparing the obtained THD with the related value in the healthy condition (HC).…”

Section: Introductionmentioning

confidence: 99%

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Stator and rotor turn‐to‐turn fault detection in wound rotor induction machines based on the air‐gap magnetic field distortion

Nazemi

Haghjoo

Cruz³

et al. 2020

IET Electric Power Applications

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An efficient online flux‐based diagnostic approach is proposed to detect turn‐to‐turn faults in the stator and rotor windings of wound rotor induction machines, at an early stage of development, which can be applied in the online mode. Some flux sensors are installed in the stator slots to detect the rotational magnetic field at various positions along the air‐gap circumference. These sensors measure the flux linked to all winding coil groups, in the three phases. Any fault occurring either in the stator or rotor windings will disturb the air‐gap flux and create an asymmetry in the rotational magnetic field, which is detectable through the difference of the induced voltages in the corresponding flux sensors. The proposed diagnostic technique is evaluated by finite element analysis as well as by multiple experimental tests. The obtained results show that such invasive technique is able to detect and discriminate various faults in the stator and rotor windings with high accuracy, low calculation burden, proper sensitivity and appropriate robustness in the face of machine load level variations.

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Modeling and Diagnosis of Stator Winding Faults in PMSM using Motor Current Signature Analysis

Gherabi¹,

Toumi²,

Benouzza³

et al. 2019

2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) &Amp; 2019 International Conference O

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AC motor instrumentation and main air gap flux measurement for fault diagnostics

Cited by 8 publications

References 29 publications

Fault diagnosis of induction motors by space harmonics analysis of the main air gap flux

Fault diagnosis of induction motors by space harmonics analysis of the main air gap flux

Stator and rotor turn‐to‐turn fault detection in wound rotor induction machines based on the air‐gap magnetic field distortion

Modeling and Diagnosis of Stator Winding Faults in PMSM using Motor Current Signature Analysis

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