PD pattern of various defects measured by TEV sensor

Prasetia, Hikmah; Khayam, Umar; Suwarno, &; Itose, Akihiko; Kozako, Masahiro; Hikita, Masayuki

doi:10.1109/ichveps.2017.8225861

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…Then, the surface current generated by EM waves is excited and flows to the ground. Such propagating electromagnetic waves can be obtained by capacitive sensor and recorded as TEV signals [21][22][23]. These sensors pick-up the high frequency (radio frequency) pulses in the frequency range of 4 MHz to 100 MHz.…”

Section: Principles Of Transient Earth Voltage (Tev) Methodsmentioning

confidence: 99%

Defect Localization Inside Simulated MV Switchgear Based on Cumulative Energy Curve Using Transient Earth Voltage Sensors

et al. 2021

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The partial discharge (PD) leads to catastrophic failure of the medium voltage (MV) switchgear insulation. Determination of the PD source (defect) location in high voltage (HV) equipment is very important in the maintenance procedures and in isolating the root cause of PD generation. In this paper, the transient earth voltage (TEV) detection method was used to acquire defect-initiated PD signals in a simulated MV switchgear model. An array of four TEV sensors were placed on the surface walls outside an MV switchgear tank to acquire the PD signals generated from the known location(s)/coordinates of sharp needle type defect inside the tank. The time difference of arrival (TDOA) between signals that are captured by the TEV sensors array was critically analyzed. Estimating the TDOA between PD signals generated by PD source at a known location with high accuracy is of great importance for accurate defect localization. The cumulative energy method (CEM) is used to estimate the onset time point of each TEV signal. The estimated TDOA by the cumulative energy method is compared with actual and expected TDOA based on known coordinates of PD source and TEV sensors. Experimental data are used as a basis for determining the TEV method accuracy for PD source localization. Experimental results show the average error of time difference is about 1.34 ns, which is equivalent to the propagation distance of 0.4 m.

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Section: Principles Of Transient Earth Voltage (Tev) Methodsmentioning

confidence: 99%

Defect Localization Inside Simulated MV Switchgear Based on Cumulative Energy Curve Using Transient Earth Voltage Sensors

et al. 2021

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“…Many detection methods, such as ultrasonic measurement (Yanqing et al , 2005), radio frequency (RF) (Berler et al , 2001), ultra high frequency (UHF) (Tenbohlen et al , 2008; Yaacob et al , 2014) and transient grounding voltage method (TEV) (Davies and Jones, 2008), are often used for partial discharge detection. Here, considering that the metal-enclosed power devices occupy the majority of inspection components of the IO-EIR in substations, the TEV method may be considered as one of the most suitable detection methods because it belongs to a nonelectrical contact detection method and has the characteristics of wideband, easy installation and high sensitivity (Reid et al , 2012; Smith et al , 2004; Brown, 1996; Davies et al , 2008; Prasetia et al , 2017; Malek et al , 2019). The IO-EIR in substations can accomplish partial discharge (PD) level detection via the electric push rod mechanism based on the TEV sensors (Malek et al , 2019).…”

Section: Comparative-analysis Of Various Indoor-orbital Electrical In...mentioning

confidence: 99%

A review of indoor-orbital electrical inspection robots in substations

Dong

Liang²,

Li³

et al. 2022

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Purpose The purpose of this study is to provide an in-depth understanding about the indoor-orbital electrical inspection robot, which is useful for motivating the further investigation on the inspection of electrical equipment. Currently, electric energy has a strong correlation with the economic development of the country. Intelligent substations play an important role in the transmission and distribution of the electricity; the maintenance of the substation has attracted intensive attention due to the requirement of reliability and safety. The indoor-orbital electrical inspection robot has increasingly become the main tool to realize the unmanned. Hence, a systematic review is conducted systematically reviewing the current technical status of the indoor-orbital electrical inspection robot and discuss the existed problems. Design/methodology/approach In this paper, the most essential achievements in the field of indoor-orbital electrical inspection robots were reported to present the current status, and the mechanical structures and key inspective technologies were also discussed. Findings Four recommendations are provided from the analyzed review, which have made constructive comments on the overall structural design, functionality, intelligence and future development direction of the indoor-orbital electrical inspection robot, respectively. Originality/value To the best of the authors’ knowledge, this is the first systematic review study on indoor-orbital electrical inspection robots; it fills the theoretical gap and proffers design ideas and directions for the development of the indoor-orbital electrical inspection robot.

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“…However, the low TEV signal strength made low-level PD difficult to detect. Hence, the TEV sensors are susceptible to background noise interference and a good signal processing technique to extract the signal from the noise is necessary [22].…”

Section: Transient Earth Voltage Detection Methodsmentioning

confidence: 99%

Partial discharge detection and identification based on chipless RFID system

Yang¹

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First and foremost, I would like to express my heartfelt gratitude to my main supervisor, Prof. See Kye Yak, for his guidance, encouragement, and valuable suggestions throughout this research journey. I would also like to thank my cosupervisor, Dr. Muhammad Faeyz Karim, for introducing me to the exciting research topic of chipless RFID through my MSc dissertation. I am grateful for his cosupervision and technical advice. I am very fortunate to work with many wonderful and knowledgeable researchers in the SMRT-NTU Smart Urban Rail Corporate Laboratory and Electronic System Reliability Laboratory, who have enriched my research experiences. They are Dr.

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PD pattern of various defects measured by TEV sensor

Cited by 8 publications

References 4 publications

Defect Localization Inside Simulated MV Switchgear Based on Cumulative Energy Curve Using Transient Earth Voltage Sensors

Defect Localization Inside Simulated MV Switchgear Based on Cumulative Energy Curve Using Transient Earth Voltage Sensors

A review of indoor-orbital electrical inspection robots in substations

Partial discharge detection and identification based on chipless RFID system

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