This project investigates algorithms to capture the intelligence about the faults, from a small working model of the actual system, which can be used to scale up the fault models to the high end system. The ideas developed in the project can be used effectively to learn the intelligence about the faults without working with the high end systems, and thereby making modeling the faults a less expensive process. The proposed algorithms are being developed as part of the Integrated Vehicle Health Management System (IVHM) that is being developed for aerospace applications.
