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Utilising pattern recognition techniques to implement a multipoint optical fibre sensor system for use in process water systems

机译:利用模式识别技术来实现用于过程水系统的多点光纤传感器系统

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A multipoint optical fibre sensor system, containing five sensing elements, capable of detecting various concentrations of ethanol in water supplies is reported. The sensing elements are based on a U-bend sensor configuration and are incorporated into a 62.5/spl mu/m core diameter 500-metre length of silica cladding silica core optical fibre. The sensor is interrogated using optical time domain reflectometry (OTDR) and it is proposed to apply artificial neural network (ANN) pattern recognition techniques to the resulting OTDR signals to accurately classify the sensor test conditions.
机译:报道了一种包含五个传感元件的多点光纤传感器系统,该系统能够检测供水中乙醇的各种浓度。传感元件基于U形弯曲传感器配置,并结合到62.5 / splμm/ m的芯直径500米长的石英包层石英芯光纤中。使用光学时域反射仪(OTDR)对传感器进行询问,并提出将人工神经网络(ANN)模式识别技术应用于所产生的OTDR信号,以准确地对传感器测试条件进行分类。

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