Temperature prediction and fault diagnosis of primary equipment based on UHF - RFID sensor

Substation equipment temperature is one of the important criteria to reflect its normal work in[1], this article through the new UHF-RFID sensor temperature measures substation equipment, the new passive wireless sensor through the work of two frequency bands to solve the energy supply. The results...

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Bibliographic Details
Published in2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) pp. 269 - 271
Main Authors Yuling Hu, Jun Li, Manxin Yang, Si Shuang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
Analytical models
Equipment Temperature
Neural Network
Neural networks
Passive Wireless Sensor
Substations
Temperature distribution
Temperature measurement
Temperature sensors
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Summary:Substation equipment temperature is one of the important criteria to reflect its normal work in[1], this article through the new UHF-RFID sensor temperature measures substation equipment, the new passive wireless sensor through the work of two frequency bands to solve the energy supply. The results show that this method can accurately predict the temperature of the primary equipment of the substation, diagnose fault and monitor equipment in real time by using the neural network and the seven main factors that affect the temperature of the primary equipment of the substation.
DOI:10.1109/YAC.2017.7967417