强度型激光光纤传感系统的神经网络补偿方法

提出一种考虑激光光纤传感系统中的激光器输出功率波动的神经网络跟踪补偿方法。在这种方法中，神经网络不仅用于削弱激光器输出功率波动对测量系统的影响，而且还同时用于传感非线性校正。提高了光强调制型光纤传感器的长期工作稳定性及测量精度，并有利于扩大激光光纤测量系统的测量范围。以光纤位移传感器为例，说明了该方法的有效性。

Compensation of Intensity Modulation Laser Optic Fiber Sensor System Based on Neural Network

A tracking compensation technique for intensity modulation laser optic fiber sensor system based on radial basis function neural network is presented. The less influence of laser output power fluctuation and nonlinear calibration of sensor are realized simultaneously with this method. Long-term stability of sensor is improved. A broad measuring range and an enhance measuring accuracy of the sensor can be obtained. An example of optic fiber displacement sensor is illustrated. The result indicates that the method is effective.