The defect identification and positioning methods were discussed.

A novel biological optimization algorithm,particle swarm optimization(PSO) algorithm,is applied in defect identification in the paper.

This paper focus on solid propellant of rocket engine defects characteristics automatic extraction and identification technology, which is helpful for propellant automatic ultrasonic NDT and automatic defect identification.

In order to realize the flaw recognition,a special sensor which is composed of a rectangle exciting coil and a foursquare is designed to excite and induce the change of magnetic field,and a method based on the orthogonal LIA is applied to measure the mV-level change of the weak-induced voltage signal.

Study on method for flaw identification based on support vector machine;

Study to the Flaw Identification of Ultrasonic Testing based on Optimal Support Vector Machines;

New material, new method and new theory are the basis of the non-destructive testing(NDT)development, and credible flaw identification, quantitive analysis and non- destructiveevaluation(NDE) are the main research of NDT.

Workpiece defect recognition methods based on industrial CT;

Method of defect recognition in solid motor CT testing

According to the characters and requirements of the nondestructive steel radial tire detection, an X-ray inspection and defect recognition system for all-steel radial tire is designed.

The system structure and related key technologies of the robot used to inspect the aircraft skin defects are studied.

The aircraft skin temperature is a basic factor determining the infrared image of aircraft,so the knowledge on the transient temperature is important.

The coupled effects of the heat transfer inside an aircraft with the aerodynamic heat transfer and thermal radiation outside the aircraft skin were analyzed, and an calculating method for solving the coupled effects was presented.