Applying case-based reasoning to aid fault management in supervisory control

This research explores the use of case-based reasoning as a technique for storing fault management experience and making it available to operators confronting similar anomalous situations. Specifically, this project investigates the use of case-based reasoning technology to construct a knowledge base of actual fault management experience. This knowledge base is organized so as to enable the retrieval of this fault management information in response to system inputs. The Fault Information Extraction and Investigation Tool (FIXIT), a case-based architecture for computationally encoding fault management experience, is proposed, and a proof-of-concept implementation is described. This project represents one of the first applications reasoning to real-time decision making control