A survey of fault diagnosis methods for induction motors drives under inverter fault conditions

Aguayo, J.; Claudio, A.; Vela, L.G.; Gentile, S.

doi:10.1109/iceee.2004.1433910

Cited by 9 publications

(11 citation statements)

References 8 publications

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“…On the one hand, signal-based methods such as current trajectory and instantaneous frequency analysis, considered in refs. [90,91], were applied because of their simplicity and low computational load in detection supervision levels. On the other hand, the model-based techniques were more precise and easier to implement in diagnostic tasks after the mathematical model generation [92].…”

Section: Energy Conversion Stepmentioning

confidence: 99%

Data-Driven Fault Diagnosis for Electric Drives: A Review

Gonzalez-Jimenez

Olmo

Poza

et al. 2021

Sensors

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The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has shifted to massively acquire operational data, which can be processed to extract really valuable information with the help of Machine Learning or Deep Learning techniques. As a result, classical Condition Monitoring methodologies, such as model- and signal-based ones are being overcome by data-driven approaches. Therefore, the current paper provides a review of these data-driven active supervision strategies implemented in electric drives for fault detection and diagnosis (FDD). Hence, first, an overview of the main FDD methods is presented. Then, some basic guidelines to implement the Machine Learning workflow on which most data-driven strategies are based, are explained. In addition, finally, the review of scientific articles related to the topic is provided, together with a discussion which tries to identify the main research gaps and opportunities.

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Section: Energy Conversion Stepmentioning

confidence: 99%

Data-Driven Fault Diagnosis for Electric Drives: A Review

Gonzalez-Jimenez

Olmo

Poza

et al. 2021

Sensors

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“…Several studies have dealt with power systems' fault analysis (Aguayo et al, 2004;Pérez et al, 2009;Quiroga 2009); applications typically have protection functions (Friedrich et al, 2003), e.g. passive protection could become activated according to fault time duration (Sun et al, 2010); ´passive protection can thus be turned off.…”

Section: Fault Analysismentioning

confidence: 99%

Analysis of a cascaded multilevel inverter with fault-tolerant control

et al. 2011

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Cascaded multilevel inverters are widely used in industry for speed control of induction motors and, even when the converters' operation is highly reliable, several faults can occur, leading to poor engine performance or even causing the whole system to stop. It is desirable to keep the system operational when a failure occurs, even when degraded, and implementing fault-tolerant systems are thus a good choice. This paper presents a general strategy for fault-tolerant control in a 7-level cascaded multilevel inverter (the faults are in semiconductor devices); the paper includes simulation and experimental results to validate the method.

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“…Studies about fault detection in multilevel inverter and even fault-tolerant multilevel inverter have been focused on power systems' fault analysis [8][9][10] as first step to conceive different techniques for obtaining a three-phase balanced output voltage [4][5][11][12]. Xiao Min analyzed a flying capacitor-based fourlevel inverter using the material redundancy technique (using extra components) [13].…”

Section: Introductionmentioning

confidence: 99%

Faults Detection and Diagnosis of Multilevel Inverter Based on Signal Processing

Benyettou¹

2019

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An open fault detection and analysis method for Multilevel Inverter based on Signal Processing is proposed in this paper. A reconfiguration method is also discussed. The output voltage is used as a diagnostic signal to detect the fault types and locations. In this paper, characteristics of open transistor faults in Multilevel Inverter (cascaded H-bridge seven-level) three-phase PWM-controlled shunt active power filter are determined. Phase currents cannot be trusted as fault indicator, like done in many research works in this field, since their waveforms change slightly in the presence of open transistor fault. The proposed method uses H bridges output voltages to determine the faulty phase, the faulty bridge and more precisely, the open fault transistor. The expected and simulation results are in good agreement with each other, which represents the proposed method can perform satisfactorily to detect the fault types and locations.

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A survey of fault diagnosis methods for induction motors drives under inverter fault conditions

Cited by 9 publications

References 8 publications

Data-Driven Fault Diagnosis for Electric Drives: A Review

Data-Driven Fault Diagnosis for Electric Drives: A Review

Analysis of a cascaded multilevel inverter with fault-tolerant control

Faults Detection and Diagnosis of Multilevel Inverter Based on Signal Processing

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