An Integrated Model-Based Distributed Diagnosis and Prognosis Framework

Shared by Miryam Strautkalns, updated on Jul 29, 2013

Summary

Author(s) :
A. Bregon, M. Daigle, I. Roychoudhury
Abstract

Diagnosis and prognosis are necessary tasks for system reconfiguration and fault-adaptive control in complex systems. Diagnosis consists of detec- tion, isolation and identification of faults, while prognosis consists of prediction of the remain- ing useful life of systems. This paper presents an integrated model-based distributed diagnosis and prognosis framework, where system decomposi- tion is used to perform the diagnosis and prog- nosis tasks in a distributed way. We show how different submodels can be automatically con- structed to solve the local diagnosis and prog- nosis problems. We illustrate our approach us- ing a simulated four-wheeled rover for different fault scenarios. Our experiments show that our approach correctly performs fault diagnosis and prognosis in a robust manner.

show more info
Publication Name
N/A
Publication Location
N/A
Year Published
N/A

Files

9-BregonEtAl-DDP-DX2012.pdf
883.2 KB 9 downloads

Discussions

Add New Comment