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AAAI
2006
15 years 1 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
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...
ITC
2003
IEEE
181views Hardware» more  ITC 2003»
15 years 5 months ago
Latch Divergency In Microprocessor Failure Analysis
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...
Peter Dahlgren, Paul Dickinson, Ishwar Parulkar
DSN
2007
IEEE
15 years 6 months ago
R-Sentry: Providing Continuous Sensor Services against Random Node Failures
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...
Shengchao Yu, Yanyong Zhang
NCA
2008
IEEE
15 years 6 months ago
Identifying Failures in Grids through Monitoring and Ranking
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...
Demetrios Zeinalipour-Yazti, Kyriakos Neocleous, C...
OSDI
2008
ACM
16 years 3 days ago
Error Log Processing for Accurate Failure Prediction
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...
Felix Salfner, Steffen Tschirpke