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Partial discharge (PD) is a common phenomenon which occurs in insulation of high voltage equipments such as transformers and has a damaging effect to the insulation. In this paper, the application of descriptive data mining on PD occuring in insulating system is shown. Experiments were set up to create three basic types of PD: corona, surface discharges and internal discharges. Partial discharge data...
Continuous on-line monitoring of partial discharge (PD) activities involves recording large amounts of data and a challenging task is to extract useful information from them. Thus, data mining plays a very important role. In this paper, data of PD in power cables are obtained from on-site monitoring and from laboratory test. The PD patterns in terms of the univariate phase-resolved distributions are...
Partial discharge (PD) is harmful to the insulation of electrical power equipment. Classification of PD plays an important role in determining the level of harmfulness for the PD. In this paper, the PD patterns in the forms of univariate phase-resolved distributions are analysed. An alternative method to that using statistical moments for characterizing the PD patterns is proposed. Principal component...
Insulation deterioration is an increasing problem because of the ageing of high voltage power cables and current deregulation circumstance. Partial discharge (PD) measurement has been used for insulation assessment for many years. It has been widely adapted as an insulation diagnosis tool for factory acceptance, commission and maintenance purpose. However PD measurement carried out on site is affected...
Power transformer monitoring as a reliable tool for maintaining purposes of this valuable asset of power systems has always comprised partial discharge offline measurements and online monitoring. The reason lies in non-destructive feature of PD monitoring. Partial discharge monitoring helps to detect incipient insulation faults and prevent insulation failure of power transformers. This paper introduces...
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