Investigation of fault modes of voltage-fed inverter system for induction motor drive

Kastha, Debaprasad; Bose, B.K.

doi:10.1109/28.297920

Cited by 367 publications

(87 citation statements)

References 7 publications

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“…In accordance with [3][4][5][6] the following failure cases were considered, shown in Figure 3. In these cases for the fault-tolerant operation either the inverter module must be shut down or must be switched to the possibly existing redundant inverter leg or module.…”

Section: Bolvashenkov Et Al / Advances In Sciencementioning

confidence: 99%

Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter

Bolvashenkov¹,

Kammermann²,

Lahlou³

et al. 2017

Adv. sci. technol. eng. syst. j.

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Section: Bolvashenkov Et Al / Advances In Sciencementioning

confidence: 99%

Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter

Bolvashenkov¹,

Kammermann²,

Lahlou³

et al. 2017

Adv. sci. technol. eng. syst. j.

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“…Various fault modes of the VSI system is investigated for an induction motor drive [5]. Initially, research on fault diagnosis was focused on conventional pulse width modulation including, various fault modes of a VSI system for an induction motor are investigated [5]. The fault detection method with voltage and current detection on the semiconductor device is carried out [6].…”

Section: Introductionmentioning

confidence: 99%

“…The reconfiguration system would make the inverter work in the desired condition while the fault is predicted in the MLI using the ANN [4]. Various fault modes of the VSI system is investigated for an induction motor drive [5]. Initially, research on fault diagnosis was focused on conventional pulse width modulation including, various fault modes of a VSI system for an induction motor are investigated [5].…”

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection of Multilevel Inverter using Optimized Radial Basis Function based Artificial Neural Network in Renewable Energy Power Generation Application

Manjunath¹,

Kusagur²

2018

IJCA

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The Optimized Artificial Neural Network based fault detection of the multilevel inverters are of research interest since the HVDC system and Electrical Drives system has started using the multilevel inverters as the power processing units. While the power supply to the multilevel inverters is constant the results of the THD obtained would be stable. But the multilevel inverters that are used with Renewable Energy Resources as the power supply, the variation in the supply would largely affect the THD values thus a robust model for the fault detection of multilevel inverters which not only considers the THD but the positive sequence voltage, negative sequence voltage, zero sequence voltage and angle of the inverter output is considered. This paper is an attempt to develop a robust fault detection method using the optimized Artificial Neural Network (ANN) using the Radial Basis function. The objective function of this optimization algorithm is the minimization of the Mean Square Error while the ANN is getting trained. The optimization is carried out by the use of the weight and the bias value search in the search space, which would enhance the training of the ANN. Particle Swarm Optimization (PSO) and the Cuckoo Search Algorithm (CSA) are considered for the optimization algorithms. Matlab based implementation is carried out and the results are measured and tabulated. It is observed that the CSA algorithm is performing better while training the ANN for the fault detection.

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“…Faults occurring in power switches can be generally classified into short-circuit and open-circuit faults [3]. In the short-circuit fault, the fault detection and protection should be very fast and based on a hardware circuit as time between fault initiation and failure is very short [4,5].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation of Fault Characteristics of Power Switch Failures in Distribution Electronic Power Transformers

Sang

Mao

et al. 2013

Energies

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This paper presents research on the voltage and current distortion in the input stage, isolation stage and output stage of Distribution Electronic Power transformer (D-EPT) after the open-circuit and short-circuit faults of its power switches. In this paper, the operational principles and the control methods for input stage, isolation stage and output stage of D-EPT, which work as a cascaded H-bridge rectifier, DC-DC converter and inverter, respectively, are introduced. Based on conclusions derived from the performance analysis of D-EPT after the faults, this paper comes up with the effects from its topology design and control scheme on the current and voltage distortion. According to the EPT fault characteristics, since the waveforms of relevant components heavily depend on the location of the faulty switch, it is very easy to locate the exact position of the faulty switch. Finally, the fault characteristics peculiar to D-EPT are analyzed, and further discussed with simulation on the Saber platform, as well as a fault location diagnosis algorithm.

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Investigation of fault modes of voltage-fed inverter system for induction motor drive

Cited by 367 publications

References 7 publications

Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter

Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter

Robust Fault Detection of Multilevel Inverter using Optimized Radial Basis Function based Artificial Neural Network in Renewable Energy Power Generation Application

Analysis and Simulation of Fault Characteristics of Power Switch Failures in Distribution Electronic Power Transformers

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