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DMIN
2006
124views Data Mining» more  DMIN 2006»
11 years 3 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
FTCS
1993
111views more  FTCS 1993»
11 years 2 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
11 years 8 months ago
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
Xingyan Li, Lynne E. Parker
ICAI
2004
11 years 3 months ago
Using Fuzzy Clustering for Real-time Space Flight Safety
To ensure space flight safety, it is necessary to monitor myriad sensor readings on the ground and in flight. Since a space shuttle has many sensors, monitoring data and drawing c...
Charles Lee, Darrin M. Hanna, Richard E. Haskell, ...
DATE
2010
IEEE
161views Hardware» more  DATE 2010»
11 years 6 months ago
Aging-resilient design of pipelined architectures using novel detection and correction circuits
—Time-dependent performance degradation due to transistor aging caused by mechanisms such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI) is one o...
Hamed F. Dadgour, Kaustav Banerjee
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