Results 31 to 40 of about 214,445 (299)
Learning models of plant behavior for anomaly detection and condition monitoring [PDF]
, 2007 Providing engineers and asset managers with a too] which can diagnose faults within transformers can greatly assist decision making on such issues as maintenance, performance and safety. However, the onus has always been on personnel to accurately decide
Brown, A.J. +5 more
core +2 more sources
Using a Scintillation Detector to Detect Partial Discharges [PDF]
Sensors, 2019 This article presents the possibility of using a scintillation detector to detect partial discharges (PD) and presents the results of multi-variant studies of high-energy ionizing generated by PD in air. Based on the achieved results, it was stated that despite a high sensitivity of the applied detector, the accompanying electromagnetic radiation from ...
Łukasz Nagi +3 more
openaire +2 more sources
MATEC Web of Conferences, 2016 In this paper, the different types of discharge in transformer were simulated based on the real transformer fault model. The optical partial discharge detection system was established based on optical sensors which were capturing partial discharge ...
Wei Bengang +3 more
doaj +1 more source
Antenna Parametrization for the Detection of Partial Discharges [PDF]
IEEE Transactions on Instrumentation and Measurement, 2013 Partial discharge (PD) detection is a widely extended technique for electrical insulation diagnosis. Ultrahigh-frequency detection techniques appear as a feasible alternative to traditional methods owing to their inherent advantages such as the capability to detect PDs online and to locate the piece of equipment with insulation problems in substations ...
Robles Muñoz, Guillermo +5 more
openaire +2 more sources
Field Applications of Ultra High Frequency Techniques for Defect Detection in GIS
Sensors, 2018 The reliable and stable operation of power apparatus is important for the development of GIS. It is important to utilize condition monitoring technologies and anticipate possible failures in advance.
Jun Xiong +4 more
doaj +1 more source
Energies, 2021 Partial discharge detection is an important means of insulation diagnosis of electrical equipment. To effectively suppress the periodic narrowband and white noise interferences in the process of partial discharge detection, a partial discharge ...
Linao Li, Xinlao Wei
doaj +1 more source
Classification of EMI discharge sources using time–frequency features and multi-class support vector machine [PDF]
, 2018 This paper introduces the first application of feature extraction and machine learning to Electromagnetic Interference (EMI) signals for discharge sources classification in high voltage power generating plants.
Boreham, Philip +5 more
core +2 more sources
Development of an integrated low-power RF partial discharge detector [PDF]
, 2009 This paper presents the results from integrating a low-power partial discharge detector with a wireless sensor node designed for operating as part of an IEEE 802.15.4 sensor network, and applying an on-line classifier capable of classifying partial ...
Baker, P.C. +3 more
core +1 more source
Zhongguo dianli, 2023 The external partial discharge (PD) radio frequency (RF) detection method is suitable for equipment in operation, and has become one of the important means to perceive the insulation defects of transformer and bushing.
Hui HUANG +4 more
doaj +1 more source
Partial discharge pulse propagation in power cable and partial discharge monitoring system [PDF]
, 2014 Partial discharge (PD) based condition monitoring has been widely applied to power cables. However, difficulties in interpretation of measurement results (location and criticality) remain to be tackled.
Dong, Xiang +6 more
core +1 more source