Journal ArticleDOI
A new approach to the diagnosis of solid insulation systems based on PD signal inference
TLDR
In this article, the amplitude, shape, phase, and number of pulses per cycle were measured using a digital instrumentation that can measure the amplitude and shape of the pulses in an induction motor and a hydrogenerator.Abstract:
The authors have developed digital instrumentation that can measure the amplitude, shape, phase, and number of pulses per cycle. Examples are given of results obtained from an induction motor, a hydrogenerator, a polymeric cable system with a defective joint, and a high-voltage current transformer.read more
Citations
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Journal ArticleDOI
Radiometric location of partial discharge sources on energized high-Voltage plant
TL;DR: In this paper, the propagation of the partial discharge wavefront as it passes through a 4-element antenna array is measured using ultra-high-speed sampling equipment, and the three-dimensional position of the PD source can be calculated using an iterative algorithm.
Journal ArticleDOI
Design and Application of Surface Wave Sensors for Nonintrusive Power Line Fault Detection
TL;DR: In this paper, a conformal surface wave (CSW) can be used to detect open circuit faults on power line cables, which can be placed easily on a power cable for a nonintrusive open fault detection.
Journal ArticleDOI
Application of HFCT and UHF Sensors in On-Line Partial Discharge Measurements for Insulation Diagnosis of High Voltage Equipment
TL;DR: This paper proposes an optimized electromagnetic detection method based on the combined use of wideband PD sensors for measurements performed in the HF and UHF frequency ranges, together with the implementation of powerful processing tools.
Journal ArticleDOI
Digital detection, grouping and classification of partial discharge signals at DC voltage
TL;DR: Experimental results show that the dc PD detection system developed with artificial intelligence methodologies is practical and effective, and several methods to improve separability of the grouping technique are given, including threshold value grouping, marginal coordinates grouping based on 2D parameters plane and grouping using ETFM preprocessed by wavelet denosing.
Journal ArticleDOI
Partial discharge diagnostics: from apparatus monitoring to smart grid assessment
G.C. Montanari,Andrea Cavallini +1 more
TL;DR: Partial discharges (PD) are very familiar in the electrical insulation world and are a phenomenon able to reveal or cause incipient failure, as well as need of maintenance, of an electrical apparatus as discussed by the authors.
References
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Book
Partial Discharge Detection in High Voltage Equipment
TL;DR: In this paper, the authors collected this knowledge and presented it as a coherent study, including the behaviour detection and measurement of discharges, the choice of detection method and procedure, the location of discharging and discharge detection in practice.
Journal ArticleDOI
Digital detection and fuzzy classification of partial discharge signals
TL;DR: In this article, a fuzzy classifier is used for the analysis of the acquired PD-pulse shape signals, and the result of the fuzzy classification is a cluster of signals homogeneous in terms of stochastic features of PD pulses.
Journal ArticleDOI
Computer-aided recognition of discharge sources
E. Gulski,F.H. Kreuger +1 more
TL;DR: In this paper, a combination of statistical and discharge parameters was used to discriminate between different discharge sources and showed that several parameters are characteristic for different types of discharges and offer good discrimination between different defects.
Journal ArticleDOI
Advanced PD inference in on-field measurements. I. Noise rejection
TL;DR: In this article, a fuzzy classifier is used for noise suppression in measurements performed by ultra wide band digitizers, able to record a large quantity of partial discharge (PD) pulse waveforms.