The Engagement Evaluation Based on BIT-Map for Tool-Path Optimization in HSM

Once considering deeply, it is found that there are some misunderstandings, such as: not "quantifying", but rounding off; not "digit", but bit signal; not "analog", but physical quantity etc.

In order to meet the test and maintenance requirement for electronic devices,and to reduce the false alarm rate of the traditional BIT,an intelligent BIT test approach is presented.

The result shows the effectiveness of this method and also suggests its own value on improving the application of intelligent BIT fault diagnosis on complex electro-mechanic system.

A self-organizing neural network based on the modified learning vector quantization( LVQ) which is applied in the fault diagnosis of intelligent BIT of more-electric aircraft( MEA) is studied.

In the BIT design,the method that combines software with hardware is adopted,and the system integrated design,expert system technology of artificial intelligence technology are applied in order to reduce the failure rate of test,to enhance the ability of failure test of the airborne electronic equipment and to improve the reliability of equipment.

It brings up the technical method of the complicated electronic system BIT which bases on the CAN bus, uses the advantages of the CAN bus to solve problems of communication and reliability of the distributed BIT system, expounds the BIT system s structure and the measure style and the measure system having the CAN bus connection ,it also gives the soft and hard method of BIT design.