A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
This paper presents an approach for analysis of system state differences observable through the scan chain for the debug of functional failures. A novel methodology for Latch Dive...
The success of sensor-driven applications is reliant on whether a steady stream of data can be provided by the underlying system. This need, however, poses great challenges to sen...
In this paper we present FailRank, a novel framework for integrating and ranking information sources that characterize failures in a grid system. After the failing sites have been...
Error logs are a fruitful source of information both for diagnosis as well as for proactive fault handling ? however elaborate data preparation is necessary to filter out valuable...