We develop an intelligent diagnosis system which is based on fuzzy-classifier. The term of intelligent diagnosis system (IDS) is a real-time fault monitoring system for transmission line. Based on the Time-Frequency Domain Reflectometry (TFDR) algorithm, we implement the wire detecting system which shows the condition of the wires. The concrete processes are represented as follows: 1) the reflected signals which are sent from the fault of wires are obtained and saved in main server; 2) IDS classifies the fault type of the wires into damage and normal. For classifying the fault type efficiently, we use the fuzzy-Bayesian classifier which is merged the IF-THEN rules with Bayesian algorithms. Simulation results convincingly validate the effectiveness of our algorithms.