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Four-tube leakage faults are the most common faults of a power plant boiler, not only resulting in abnormal boiler shutdown and economic loss, but also endangering the safety of operating personnel. It is of great significance to grasp the changing rules of four-tube leakge faults and to recognize the fault type and location real-time with advanced fault diagnosis method. With the help of a full-scope simulator, detailed fault simulation tests are carried out for the four-tube leakage faults of a 600MW supercritical boiler unit under different coordinated control modes. An intelligent fault diagnosis method, which combines artificial neural network with symptom zoom technology, is applied to realize online fault diagnosis of four-tube leakage faults of varied severity at different load points and operating modes. The fault diagnosis simualtion tests show that this method can recognize and position the four-tube leakage faults correctly with good engineering practicability.