中文摘要：

有光布拉格栅栏(FBG ) 传感器被选择为目标关于桥电报的破电线学习一个新诊断方法的嵌入的分布式的纤维的聪明的电报。诊断策略基于电报力量和钢电线的压力分发状态被提出。由证实桥电缆线和电缆线钢电线当模特儿，破电线样品数据库数字地被模仿。罐头两个都在一个电报内代表破电线的度和地点的描述电报状态模式的一个方法被提出。建议破电线诊断方法是可行的并且由使用是的聪明的电缆线扩展了破电线诊断研究区域，这仅仅正在代表的由神经网络显示出的背繁殖(BP ) 的样品数据库的训练并且预言的结果打电报力量。

英文摘要：

The smart cable with embedded distributed fiber optical Bragg grating （FBG） sensors was chosen as the object to study a new diagnosis method about broken wires of the bridge cable. The diagnosis strategy based on cable force and stress distribution state of steel wires was put forward. By establishing the bridge-cable and cable-steel wires model, the broken wires sample database was simulated numerically. A method of the characterization cable state pattern which can both represent the degree and location of broken wires inside a cable was put forward. The training and predicting results of the sample database by the back propagation （BP） neural network showed that the proposed broken wires diagnosis method was feasible and expanded the broken wires diagnosis research area by using the smart cable which was used to be only representing cable force.