Distributed Prognostic Health Management with Gaussian Process Regression

Shared by Miryam Strautkalns, updated on May 09, 2013


Author(s) :
S. Saha, B. Saha, A. Saxena, And K. Goebel

Distributed prognostics architecture design is an enabling step for efficient implementation of health management systems. A major challenge encountered in such design is formulation of optimal distributed prognostics algorithms. In this paper, we present a distributed GPR based prognostics algorithm whose target platform is a wireless sensor network. In addition to challenges encountered in a distributed implementation, a wireless network poses constraints on communication patterns, thereby making the problem more challenging. The prognostics application that was used to demonstrate our new algorithms is battery prognostics. In order to present trade-offs within different prognostic approaches, we present comparison with the distributed implementation of a particle filter based prognostics for the same battery data.

show more info
Publication Name
Publication Location
Year Published



Add New Comment