A General Process Model: Application to Unanticipated Fault Diagnosis
نویسندگان
چکیده
The improvement of the detection and diagnosis capability for the unanticipated fault is a tendency in the research and application of fault diagnosis. In this paper, some notions and the basic principles for the unanticipated fault detection and diagnosis are given. A general process model applied to the diagnosis for the unanticipated fault is designed, by adopting a three-layer progressive structure, which is comprised of an inherent detection layer, an unanticipated isolation layer and an unantici-pated recognition layer. Several key problems in the general process model are analyzed. The model and methods proposed in this paper are driven by pure data and they can detect and diagnose the unanticipated fault. The approach is evaluated by using an example of a satellite's attitude control system, and excellent results have been obtained.
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