scispace - formally typeset
Journal ArticleDOI

Real-Time Techniques to Measure Winding Displacement in Transformers During Short-Circuit Tests

TLDR
In this article, the authors propose new techniques for fault detection based on continual assessment during the test. They include voltage comparison, current comparison, and real/reactive power measurements, which are validated on a number of models including a voltage transformer and a distribution transformer winding.
Abstract
The ability of a transformer to withstand the dynamic effects of a short circuit test is conventionally evaluated by a measurement of short circuit reactance before and after the test. We propose new techniques for fault detection based on continual assessment during the test. The methods are based on the comparative null method for accuracy measurement in instrument transformers. They include voltage comparison, current comparison and real/reactive power measurements. High resolution sampling based acquisition systems are used to compute changes on a cycle-to-cycle basis. The proposed methods are validated on a number of models including a voltage transformer and a distribution transformer winding. They would be useful for designers in assessing events leading to failure in a more transparent manner.

read more

Citations
More filters
Journal ArticleDOI

Advanced transformer winding deformation diagnosis: moving from off-line to on-line

TL;DR: In this article, the authors have concentrated on issues arising while on-line transformer winding deformation diagnosis is going to be applied on transformers with various kinds of techniques, such as frequency response analysis (FRA), short circuit impedance measurement and transfer function measurement.
Journal ArticleDOI

Transformer Fault Diagnosis Using Self-Powered RFID Sensor and Deep Learning Approach

TL;DR: The presented approach is effective and time-saving in terms of fault diagnosis for transformer winding and core and shows satisfactory performance in learning robust and discriminative features from measured signals.
Proceedings ArticleDOI

Practical challenges in online transformer winding deformation diagnostics

TL;DR: In this article, the concepts behind online measurements in frequency domain and is striving to open the discussion doors towards advanced investigations which are all aligned with smart grid concept is introduced and discussed.
Journal ArticleDOI

Transformer Fault Diagnosis Method Based on Self-Powered RFID Sensor Tag, DBN, and MKSVM

TL;DR: The diagnosis results reflect that the proposed method can effectively measure the transformer vibration signals, extract the essential features, construct an accurate diagnosis model, and locate the fault position.
Journal ArticleDOI

Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM

TL;DR: A machine learning-based methods for developing PHM models from sensor data to perform fault diagnostic for transformer systems in a smart grid and demonstrates that the developed meta heuristic algorithm for optimizing the parameters of the neural network is effective and useful.
References
More filters
Book

Transformer Engineering: Design and Practice

TL;DR: In this article, a reference illustrates the interaction and operation of transformer and system components and spans more than two decades of technological advancement to provide an updated perspective on the increasing demands and requirements of the modern transformer industry.
Journal ArticleDOI

Transfer function method to diagnose axial displacement and radial deformation of transformer windings

TL;DR: In this article, a transfer function method is presented as a tool to detect axial displacement and radial deformation of transformer windings using two test transformers and detailed mathematical models were developed for the test objects and a comparison was carried out between measured and calculated results.
Book

Large Power Transformers

TL;DR: In this paper, the physical background of Transformer operation is discussed, including the core, the windings, and the insulation of the Transformer's structural parts, as well as the temperature rise and cooling of Transformers.
Journal ArticleDOI

Virtual Instrument for Lightning Impulse Tests

TL;DR: In this paper, an objective formulation of the impulse analysis problem from a signal analysis viewpoint is proposed, where the winding response is quintessentially that of a deterministic network to a finite energy signal, with breakdown and partial discharge being inherently nonlinear events.
Related Papers (5)