Comparison of methods for detecting the signal arrival time in TDOA localization method

Cap, M.; Drexler, P.; Kaska, M.

doi:10.1109/piers.2016.7734801

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…The propagation distance is calculated from the Time of Arrival (ToA) of the UHF signals at the receiving sensors and the speed of signal propagation in oil (assumed as two-thirds the speed of light). The ToA was determined by using the energy criterion [ 24 ]. The energy criterion takes the energy ( S i ) of the UHF signal at a time instant ( i ) and adds a negative trend ( δ ) to the value, thus providing a quantity called the partial energy (

).…”

Section: Resultsmentioning

confidence: 99%

Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers

Beura

Beltle

Tenbohlen

2020

Sensors

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Ultra-high frequency (UHF) partial discharge (PD) measurements in power transformers are becoming popular because of the advantages of the method. Therefore, it is necessary to improve the basic understanding of the propagation of signals inside the transformer tank and the factors that influence the sensitivity of the measurement. Since the winding represents a major obstacle to the propagation of the UHF signals, it is necessary to study the effect of winding design on signal propagation. Previous research activities have studied these effects using simplified models, and it is essential to consider the complexity of propagation in a complete transformer tank. Additionally, the quality of UHF PD measurements depends, to a large extent, on the sensitivity of the UHF sensors. In this contribution, a simulation model consisting of a simple, grounded enclosure with multiple winding designs is used to study the propagation characteristics of UHF signals when an artificial PD source is placed inside the winding. After analysis of the results, the winding designs are incorporated in an existing and validated simulation model of a 420 kV power transformer and analyzed to observe the influence in a more complex structure. Two commonly used sensor designs are also used in the simulation model to receive the signals. In all cases, the propagation and signal characteristics are analyzed and compared to determine the influence of the winding and sensor design on the UHF signals. It is found that the level of detail of winding design has a significant impact on the propagation characteristics. However, the attenuation characteristics of the UHF signals received by the two sensor designs are similar, with the electric field distribution around the sensor being the key difference.

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).…”

Section: Resultsmentioning

confidence: 99%

Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers

Beura

Beltle

Tenbohlen

2020

Sensors

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“…定位技术有 GPS [1] [2]，红外线 [3]，超声波 [4]，蓝牙 [5]，WiFi [6]等，这些技术运用广泛。测距的方法有 TDOA [7] [8]，TOA [9] [10]，AOA [11]，RSSI [12] 1 2 3 , , …”

Section: 随着物联网相关技术的兴起，基于无线传感网络(Wireless Sensing Network Wsn)和无线局域网 unclassified

Research on Steepest Descent Method Based Indoor Location Estimation Technology

黄¹

2017

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Indoor positioning technology solves the problems that the satellite signal is weak when it reaches the ground and the signal cannot penetrate the structure. Due to the RSSI being limited by multipath effect and the volatility of time, the traditional indoor positioning technology is unstable when positioning. Aiming at the key issues of research in indoor positioning of WSN, a method based on RSSI positioning of the steepest descent algorithm WSN is proposed in the paper. The method uses three access points, namely the reference node, to find the coordinates of the nodes. In addition, the method combines log-normal shadow fading model, trilateral localization algorithm and steepest descent method. Firstly, using the log-normal shadow fading model the value of RSSI has been gotten from the node under test to the reference signal; besides, the trilateral localization algorithm is used to estimate the locating node coordinates; finally, the estimated coordinates are optimized by the optimization method. The simulation results show that, compared with the traditional positioning method based on RSSI, the indoor positioning technology based on the steepest descent method has better positioning accuracy.

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Comparison of Two Denoising Techniques to Improve UHF Partial Discharge Localization

Hejtmanek

Drexler

Judd³

et al. 2020

2020 IEEE Electrical Insulation Conference (EIC)

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Comparison of methods for detecting the signal arrival time in TDOA localization method

Cited by 4 publications

References 3 publications

Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers

Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers

Research on Steepest Descent Method Based Indoor Location Estimation Technology

Comparison of Two Denoising Techniques to Improve UHF Partial Discharge Localization

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