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AAAI
2006
13 years 9 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»
14 years 27 days 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
14 years 2 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
14 years 2 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
14 years 8 months 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