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» Bayesian Fault Detection and Diagnosis in Dynamic Systems
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HYBRID
2001
Springer
14 years 20 hour ago
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality
Efficient algorithms exist for fault detection and isolation of physical systems based on functional redundancy. In a qualitative approach, this redundancy can be captured by a tem...
Pieter J. Mosterman
ETS
2011
IEEE
230views Hardware» more  ETS 2011»
12 years 7 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...
DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 9 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
ATC
2006
Springer
13 years 11 months ago
Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems
Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-s...
A. Reza Haydarlou, Benno J. Overeinder, Michel A. ...
IEEEARES
2006
IEEE
14 years 1 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...