The output characteristic of reflective fiber optic displacement sensor was analyzed. A novel reflective fiber optic sensor for displacement measurement over a wide measuring range was designed. An inverse model of the sensor was obtained based on neural network trained by the sensor's output and the actual sensed displacement. The neural network was used to process the sensor's output signal, which could largely widen the measuring range and enhance the measuring accuracy.