The current safety inspection of pressure vessels is the shutdown inspection (SDI). This method is time consuming, labor-intensive, and extremely expensive. Furthermore, the objective of this project is to develop an intelligent on-line real time corrosion defect inspection and diagnostic system, which is on stream inspection (OSI).

Acoustic emission (AE) technique will be used for on-line real time data acquisition. This technique has the merits of quick inspection, early alarm, and inspection in the harsh environments. Feature extraction of the experimental data is input layer of the neuro-fuzzy system, the corrosion defect of pressure vessels is output layer. The relationship of between the both sides make optimization form Euclidean Distance Measure (EDM) and Sequential Forward Search Algorithm (SFSA), with phase array ultrasonic system for inspection. Finally, the developed intelligent on-line real time system has very high reliability and safety. This OSI system can reduce SDI, increase efficiency and reduce cost.