Abstract
In order to supply more sufficient information support for equipment diagnosis at the same time of signal process, an intelligent computation technique, the Autonomous Oriented Computation Network (AOCN), was proposed. This paper discussed the principles, the building process, the computation and its application of AOCN, and presented the frame of remote intelligent diagnosis and virtual maintenance system of wear of friction bearing based on the Browser/Server structure. By combining the Bayesian regularized BP network simulation and the visualization of virtual reality, the remote intelligent diagnosis of wear status of sliding bearing was carried out. According to the diagnosis result, a virtual visualization fault maintenance proposal concerning equipment was presented for users. Through experiment, the net computation result of this system was confirmed.
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