Defect diagnosis of the cable insulating materials by partial discharge statistical analysis

Park, Hee-Doo; Kim, Joung-Sik; Jeong, In-Bum; Choi, Kwang-Jin; Ryu, Boo-Hyung; Hong, Jin-Woong

doi:10.1109/icpadm.2009.5252426

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…It must also be guaranteed that the signal is easy to extract and detect. By means of kurtosis and skewness analyses [24 ], the insulation patterns that come from the ageing of or defects in medium‐voltage XLPE cables are transferred to statistical model in order to identify different types of defects. By applying wavelet transformation [14–16 ] and algorithm techniques [14–18 ], particular types of defects can be easily identified.…”

Section: Introductionmentioning

confidence: 99%

Data-driven technology for prognostics and health management of the cable system at a railway control centre: investigation of the insulation resistance of a cable system under the influence of moisture

Zhang

Zhang²

2020

IET Science, Measurement &Amp; Technology

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A measuring instrument is used to measure the insulation resistance of a cable system at a railway control centre. Moreover, online weather data is available as the source of data such as the relative humidity. A data‐driven technology can be used for signal detection, signal estimation and signal forecasting. The meaningful characteristics of the data can be extracted by an algorithm so that a relationship is established between the insulation resistance of the cable and the relative humidity. In this way, the remaining lifetime of a cable can be predicted based on the previously observed values.

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Section: Introductionmentioning

confidence: 99%