An analysis of voltage source inverter switches fault classification using short time Fourier transform

Manap, Mustafa; Nikolovski, Srete; Skamyin, Aleksandr; Karim, Rony; Sutikno, Tole; Jopri, Mohd Hatta

doi:10.11591/ijpeds.v12.i4.pp2209-2220

Cited by 7 publications

(6 citation statements)

References 41 publications

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“…The fault detection in power electronics systems is fused with short-time fourier transform to examine the three-phase inverters [17]. The switching faults are tested for tolerance to affirm the durability of the multi-level inverter [18].…”

Section: Introductionmentioning

confidence: 99%

FPGA-based fault analysis for 7-level switched ladder multi-level inverter using decision tree algorithm

Ramalingam

Thiagarajan

2023

IJRES

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The proposed method involves the fault analysis of the inverter switches present in the multi-level inverter (MLI) circuitry. The decision tree machine learning algorithm is incorporated for the fault analysis of the inverter switches. The multi-level inverter utilized in this work is a 7-level switched ladder multi-level inverter. There is 4 number of switches in the design of a 7-level inverter driven by the non-carrier digital pulse width modulation signals. The non-carried-based digital pulse-width modulator (DPWM) generation is generated using the event angle for the 7-level of the switched ladder inverter. The proposed method investigates the stuck-at-fault occurrences of the 4 switches in the inverter by manipulating the decision tree parameters such as entropy, information gain, and decision tree. Based on the decision tree, the very high-speed integrated circuit hardware description language (VHDL) code is developed by making use of the behavioral modeling and validated for the power, area in the Xilinx Vivado tool. The real-time feasibility is verified for the proposed method by synthesizing the developed VHDL code in the field programmable gate array (FPGA) device.

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Section: Introductionmentioning

confidence: 99%

FPGA-based fault analysis for 7-level switched ladder multi-level inverter using decision tree algorithm

Ramalingam

Thiagarajan

2023

IJRES

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“…The majority of faults that occur in the multi-level inverter are either in its switches or its control, for this it can be said that the reliability of power electronics becomes a serious problem [32], [33]. The faults that can occur in the physical semiconductor component of the IGBTs are themselves critical faults [34]. The faults are mainly related to an open or short circuit or to the control of the inverter itself.…”

Section: Introductionmentioning

confidence: 99%

Study of the performance of fault-tolerant multi-level inverter included in shunt active power filter

Benaouda

Mezaache

Djeghloud

et al. 2023

IJECE

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Nowadays, the large number of shunt active power filters (SAPF) is installed in many grid networks to eliminate the source currents harmonics and enhance power quality. These filters are installed in different places according to the filtration requirements. The connection between SAPF and grid network has a negative effect during the open-circuit fault of the insulated gate bipolar transistor (IGBT) switch of the SAPF. This paper proposes the application of the new diagnostic method based on the trigonometric circle and mean value variations techniques to the early detection and precise location of the open-circuit fault of the IGBT switches, and the inclusion of the modified reconfigurable inverter topology to allow the perfect continuity of the filter currents, and improve the diagnostic of the open-circuit fault. A single-sided amplitude spectrum technique (SSAS) is applied on the source currents to get the THDi% value. The obtained simulation results prove, the great success of the proposed diagnostic method, the ability of the modified reconfigurable inverter to be adapted to the grid network, the short response time between the diagnosis and the reconfiguration process is about 7 ms which is very sufficient to guarantee the rapid continuity of the shunt active power filter.

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“…In order to attenuates the fault detection errors due to external disturbances, some proposals are based on artificial intelligence (AI) systems such as vector support machines [13], neural networks [14], [15] or rulebased classifier [16]. These methods require an exhaustive training of the learning algorithms for the recognition of fault patterns through tests under different fault severities and operating conditions.…”

Section: Introductionmentioning

confidence: 99%

“…The performance of the proposed method is evaluated by simulation results for healthy and faulty cases. A study based on short-time Fourier transform for fault classification and identification in voltage source inverter (VSI) switches was proposed in [16]. The method aims to detect the switch faults in VSI based on a rule-based classifier.…”

Section: Introductionmentioning

confidence: 99%

Online detection of interturn short-circuit fault in induction motor based on 5th harmonic current tracking using Vold-Kalman filter

Mazzoletti

Gentile

Donolo

et al. 2023

IJECE

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In this paper we propose a strategy for real-time detection of interturn short-circuit faults (ISCF) on three-phase induction motor (IM) by using a Vold-Kalman filter (VKF) algorithm. ISCF produce a thermal stress into the stator winding due to large current that flows through the short-circuited turns. Therefore, incipient fault detection is required in order to avoid catastrophic failures such as phase to phase, or phase to ground faults. The strategy is based on an analytical IM model that includes a ISCF fault in any of the phase windings and considering the h-th harmonic in the voltage supply. Based on equivalent electrical circuits with harmonics in sequence components, we propose a strategy for detection of an ISCF on IM by tracking the 5th harmonic current component using a VKF algorithm. The proposed model is experimentally validated using a three-phase IM with modified stator windings to generate ISCF. Also, the IM is feeded by a programmable voltage source to synthesize distorted voltage supply with the 5th harmonic. The results demonstrated that the positive-sequence magnitude for the 5th harmonic current component is a good indicator of the fault severity once it exceeds a threshold limit value, even under load variations and unbalanced voltages.

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An analysis of voltage source inverter switches fault classification using short time Fourier transform

Cited by 7 publications

References 41 publications

FPGA-based fault analysis for 7-level switched ladder multi-level inverter using decision tree algorithm

FPGA-based fault analysis for 7-level switched ladder multi-level inverter using decision tree algorithm

Study of the performance of fault-tolerant multi-level inverter included in shunt active power filter

Online detection of interturn short-circuit fault in induction motor based on 5th harmonic current tracking using Vold-Kalman filter

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