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Low-Cost Fiber-Optic Temperature Measurement System for High-Voltage Electrical Power Equipment

机译:高压电力设备的低成本光纤温度测量系统

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摘要

To precisely measure temperature in high-voltage electrical power equipment subject to intense electromagnetic interference (EMI), we present an artificial neural network (ANN) inverse compensating method, based on which we also construct a compounded fiber-optic temperature measurement system (CFOTMS). The CFOTMS consists of a fiber-optic semiconductor absorption temperature sensor (FOSATS) and an ANN inverse compensator. On one hand, optical-fiber-based light transmission is insusceptible to EMI; on the other hand, due to the utilization of the ANN inverse compensator, the dynamic performance and measuring precision of the CFOTMS are significantly enhanced compared with the sole use of the sensor. Therefore, it is very suitable to be used in high-voltage electrical power equipment. Furthermore, as the intensity-dependent FOSATS is a cheap device, and the ANN inverse compensator is realized in software, the cost of the CFOTMS will be low, which makes it suitable to be used in economical equipment.
机译:为了精确地测量受到强烈电磁干扰(EMI)的高压电力设备的温度,我们提出了一种人工神经网络(ANN)逆补偿方法,在此基础上,我们还构建了复合光纤温度测量系统(CFOTMS) 。 CFOTMS由光纤半导体吸收温度传感器(FOSATS)和ANN逆补偿器组成。一方面,基于光纤的光传输不易受到EMI的影响;另一方面,由于使用了ANN逆补偿器,与仅使用传感器相比,CFOTMS的动态性能和测量精度大大提高。因此,非常适合用于高压电力设备中。此外,由于依赖强度的FOSATS是一种廉价的设备,并且ANN逆补偿器是通过软件实现的,因此CFOTMS的成本较低,因此适合在经济型设备中使用。

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