Interturn short diagnosis in small transformers through impulse injection: on‐line on‐load self‐impedance transfer function approach

Rajamani, Rajesh; Muthaiah, R.; Arunachalam, Kamalaselvan; Madanmohan, Balasubramanian

doi:10.1049/iet-smt.2016.0418

Cited by 11 publications

(12 citation statements)

References 18 publications

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“…where 'V 1 ' is the input impulse signal in volts and 'V 2 ' is the response signal at the other end of the winding in volts [17], [28]. EEV TF plots for all the cases were developed by plotting the 'EEV TF magnitudes' in Y-axis against the 'Frequency 'in X-axis.…”

Section: Procedures Followed For the Analysismentioning

confidence: 99%

“…Gomez Luna et al discussed the application of Wavelet transform in FRA [27]. On-Line On-load IFRA approach based inter-turn short diagnosis was demonstrated on a laboratory transformer in earlier work at SASTRA [28]. Mechanical fault diagnosis in the transformer winding through On-line FRA with support vector machine was also available as literature [29].…”

Section: Introductionmentioning

confidence: 99%

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Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit

2020

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Frequency Response Analysis (FRA) is an Off-line condition monitoring technique for the transformers and is successful, in diagnosing mechanical faults and inter-turn short-circuits. Only limited literature is available for On-line FRA works, and the effect of the transformer's load on the fault diagnosing capability of FRA has not yet been analysed. Motivated by this research gap, an experimental investigation was done to analyze the effect of load on IFRA based inter-turn short-circuit diagnosis. A single-phase 1 kVA, 240V/240 V transformer supplying R and R-L loads and a three-phase 5 kVA, 440 V/440 V transformer supplying an induction motor at various load levels were tested. Inter-turn short-circuits were emulated in their windings and, the effectiveness of IFRA in diagnosing the same was investigated. Comparisons were made between the frequency response of the loaded transformers in their healthier conditions and emulated fault conditions, based on the transfer function plots and the statistical parameters. Investigations reveal that the loads alter the useful spectrum of IFRA. The frequency response of the healthier transformer itself varies based on the transformer's load and necessitates a careful focus on the sensitive frequency spectra for effective inter-turn short-circuit diagnosis in loaded transformers.

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Section: Procedures Followed For the Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit

2020

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“…Different stochastic approaches based on measured sweep frequency response such as multiobjective GA, bee colony algorithm, bacterial swarming algorithm (BSA), improved particle swarm optimization, chaos optimization algorithm, genetic algorithm, particle swarm optimization, and bacterial foraging are used for solving the APDM problem. In most of the researches, for simplifying the solution of the problem and decreasing the size of the search space, a model with a low number of similar sections is considered and the number of used frequency points is largely reduced . In this paper, it is demonstrated that decreasing the number of used frequency points besides utilizing a model with a low number of sections leads to undesirable errors and an inaccurate model.…”

Section: Introductionmentioning

confidence: 99%

“…In most of the researches, for simplifying the solution of the problem and decreasing the size of the search space, a model with a low number of similar sections is considered and the number of used frequency points is largely reduced. 19,[21][22][23][25][26][27] In this paper, it is demonstrated that decreasing the number of used frequency points besides utilizing a model with a low number of sections leads to undesirable errors and an inaccurate model. Therefore, instead of those assumptions, using a fast, powerful, and efficient method is vital for extracting the model.…”

Section: Introductionmentioning

confidence: 99%

Detecting the location and severity of transformer winding deformation by a novel adaptive particle swarm optimization algorithm

Jahan

Keypour

Izadfar

et al. 2018

Int Trans Electr Energ Syst

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Summary Transformers as 1 of the most important and expensive equipment of power network are under continuous exposure of faults. Periodic examinations for detecting and locating trivial deformation occurrences are indispensable for preventing their unexpected outage and costly, time‐consuming repair procedure. The most crucial step for fault detection is obtaining parameters of the detailed model. Acquiring parameters of the detailed model (APDM) is a nonlinear, nonconvex, and large‐scale problem that requires a powerful method to be solved. This paper proposed a novel method that gains benefit from new efficient functions of Fourier series coefficient and phase functions, an adaptive version of the PSO and fast calculation of coupled network matrices, to solve the problem. Experimental results on 2.64 and 120 kV set of transformer windings, constructed for this study, verified the precision of the proposed method for discovering the position and severity of the disk space variation fault.

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“…Various types of mechanical, hydraulic, magnetic, and electrical instrumentations can be found in systems [5][6][7][8]. The diagnosis and fault analyses of those systems require advanced electronic functions [9,10]. The constituted electronic systems are usually designed with cohabitation of mixed low-and high-power electronic circuits [11].…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Experimentation of Voltage Compressor and Decompressor With Active Circuit

Ji¹,

Wu²,

Wang³

et al. 2019

PIER C

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This paper introduces an innovative circuit theory of analog voltage compressor (AVC) and decompressor (AVD). This electronic function can also be assumed as an analog voltage converter. Analytically, it acts as power function synthesizer topology designed with an analog nonlinear circuit. The AVC/AVD topologies are based on an operational amplifier associated with resistor and non-linear diode components. Given the positive parameter a > 0, the main x-y characteristic of the AVC/AVD is formulated by y = x a for the input and output x and y, respectively. The synthesis formulas allowing to determine the AVC/AVD parameters as a function of a are established. To validate the original AVC/AVD concept, static and dynamic simulations and experimentations with a proof-of-concept circuit using operational amplifier UA741 are carried out. As expected, well correlated x 1/2-AVC and x 2-AVD characteristics are realized with the static testing for the voltage range varied from 0 to 9-V and 0 to 3-V for AVC and AVD circuits, respectively. The simulation and experimentation of dynamic test results are in good agreement for the sine wave voltages with frequency varied from DC to 1-kHz. The simulated and experimental results confirm the relevance of the developed compressor/decompressor analog circuit. The AVC/AVD functions for instrumentation system applications can be potentially applied to the amplitude matching especially for digital systems.

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Interturn short diagnosis in small transformers through impulse injection: on‐line on‐load self‐impedance transfer function approach

Cited by 11 publications

References 18 publications

Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit

Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit

Detecting the location and severity of transformer winding deformation by a novel adaptive particle swarm optimization algorithm

Synthesis and Experimentation of Voltage Compressor and Decompressor With Active Circuit

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