| Flexible assembly system is a sort of assembly system controlled by computer and is automatic assembly system with altitudinal assembly automatization, assembly flexible character, high productivity and preferable reliability.In 20th century, with the development of flexible manufacture system and computer flexible assembly system has made a fast promotion. In another side, in order to adapt to the need of quick exchange of product and the increase in types of product, automation assembly system must be flexible. And then, the principle of flexible manufacture system has been used into the development of flexible assembly system. Flexible assembly system unlike old fix assembly system, it requires fine response to change of inside or outside. During the whole period of action, the 'Flexible' would run through the system.In this paper, the concept and idea of FAS has been introduced into the research automatic assemble system for car's latch pieces so it behave more flexible. During the whole period of development, the idea of flexible has been used in hardware and also in software. When designed the system, the compatibility of assembly for different types pieces must be considered. System can assemble not only two-pieces type latch but also other types latches. Modularized idea has been used run through the whole work.When FAS is running, fault can influence the performance of the system. For this reason, fault diagnosis has an important role. Since it's complexity and randomicity, fault appears many types and a wide distribution . The reasons to cause fault are complex also. All of these elements add the difficulty and complexity of fault diagnosis of FAS and cause traditional method based on math and physics can not met the need of fault diagnosis of FAS. In this paper, some method of faults diagnosis had been introduced and the technology of expert system has been used to deal with the fault of FAS and it's reasoning strategy. According to these theories, one expert system of fault diagnosis has been built up and made a good start for deep research. |