Inter-turn faults detection in Induction Motor drives using zero-sequence signal injection

Otero, Marcial; Bossio, Guillermo R.; Barrera, Pablo M. de la; Tyshakin, O.; Leidhold, Roberto

doi:10.1109/speedam.2018.8445411

Cited by 3 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This effect produces a non‐linear relationship between the fault indicator and the number of short‐circuited turns. These results agree with those reported in [30] and it is a behaviour also shown in other AFD proposals [24, 27]. Therefore, the next sections deal with the validation of the proposal for different IM working conditions, e.g.…”

Section: Experimental Setup and Resultssupporting

confidence: 90%

“…According to [30], the diagnostic signals have a sinusoidal shape with 28 cycles per revolution of the rotor, corresponding to the number of rotor bars. In addition, four cycles per revolution component related to the rotor flux is also reported in the cited paper and shown in Fig.…”

Section: Experimental Results For Different Itf Severitiesmentioning

confidence: 99%

“…It is worth mentioning that the flux component of the signal is at 2.6 cycles/rev, instead of at 4 cycles/rev as in Fig. 8, due to the effect of the slip caused by the load condition [30]. Taking this fact into account, it can be noticed that the mean value, presented by the filtered signal, takes almost 0.8 s to achieve the steady state and, therefore, the fault detection gets slower.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…This paper proposes a zero‐sequence signal injection strategy for stator ITF diagnosis on a closed‐loop inverter‐fed IM, with low sensitivity to time‐variable load and time‐variable speed conditions. A similar strategy was used for the detection of ITFs [30] and broken bars [31, 32] in IM operating under stationary conditions. It is well known that an ITF modifies the inductances of the IM [33, 21], the proposed technique detects these variations without modifying the standard space‐vector modulation (SVPWM) using a simple signal processing.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

Otero

Barrera

Bossio

et al. 2020

IET Electric Power Applications

View full text Add to dashboard Cite

This study presents a strategy for stator inter-turn faults diagnosis in induction motors (IMs) operating under timevariable load and time-variable speed conditions. The strategy consists in injecting a zero-sequence high-frequency signal in order to analyse variations in the stator inductances. Incipient stator inter-turn faults are detected by a simple signal processing of the derivatives of the currents. A feature of the strategy is that the zero-sequence high-frequency signal is generated by the inverter that feeds the machine, without modifying the standard space vector modulation of the IM-drive. Experimental results show that faults representing <1% of the stator winding can be detected, as well as the phase location of the fault, validating this proposal.

show abstract

Section: Experimental Setup and Resultssupporting

confidence: 90%

Section: Experimental Results For Different Itf Severitiesmentioning

confidence: 99%

Section: Experimental Setup and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

Otero

Barrera

Bossio

et al. 2020

IET Electric Power Applications

View full text Add to dashboard Cite

show abstract

“…Through signal processing and modeling techniques, it is revealed that the fault can be easily and rapidly detected after its occurrence [12,13]. In reference [14], the authors have used a highfrequency signal injection that allowed studying the change of fault signature and their values in presence of stator inter-turns. A. Berzoy and al investigated the location stator inter-turn short-circuit on machine parameters.…”

Section: Introductionmentioning

confidence: 99%

The Fast Prognosis of Inter-Turn Faults in an Induction Motor

Bouaissi,

Rezig,

Touati

2023

MMEP

View full text Add to dashboard Cite

This paper introduces a novel approach for detecting and prognosing stator inter-turn faults in induction motors, addressing an important aspect of motor health monitoring. The most commonly employed method for fault detection in this context is Motor Current Signature Analysis (MCSA). By leveraging this method, the paper focuses on the generation of periodic Magneto Motive Force (MMF) waves in the balanced current signal as a result of inter-turn faults. These MMF waves serve as crucial indicators for identifying the presence of such faults. To achieve early detection and prognostic capability for inter-turn faults, the paper proposes a numerical model that relies on analyzing the forward and backward currents. This model offers a promising approach to effectively detect and prognose these faults before they escalate into more severe issues. The obtained results from applying the proposed method demonstrate its efficiency in fault detection and prognostic accuracy for stator inter-turn faults. To validate the effectiveness of the proposed approach, an experimental setup is implemented. This setup provides a real-world context for evaluating the performance and reliability of the method in detecting and prognosing inter-turn faults. Through this validation process, the paper strengthens the credibility and applicability of the proposed technique in practical motor maintenance and fault management scenarios.

show abstract