Strain modal difference is used to identify the location of damage in pipelines, due to its precise recognition in engineering practice and its sensitivity to small structural damage. However, this method fails to quantify the structure′s degree of damage, so a new method that combines the neural network with the strain modal differenceis presented to identify the degree of pipeline damage. It takes the strain modal difference obtained through the finite element as the input parameter and the damage location and degreeas the output parameter of the network to identify the location and degree of both single and double damage. The simulation results of damage identification in the pipeline show that this method can not only determine the location of pipeline damage, but also accuratelyquantify the degree of damage.