Ball bearing fault detection using an acoustic based machine learning approach. [PDF]
Chandrakala CB +3 more
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An evolutionary weighted feature influence factor feature selection method for fault detection in the Tennessee Eastman complex chemical process. [PDF]
Li D, Xue Y, Fu J, Tan T, Yang Y, Nie J.
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Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet). [PDF]
Najafzadeh K, Emami Niri M, Bahroudi A.
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Optimized ANN-RF hybrid model with optuna for fault detection and classification in power transmission systems. [PDF]
Uzel H, Özüpak Y, Alpsalaz F, Aslan E.
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PumpSpectra: An MCSA-Based Platform for Fault Detection in Centrifugal Pump Systems. [PDF]
Adaika H, Tir Z, Sahraoui M, Laadjal K.
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An Enhanced TK Technology for Bearing Fault Detection Using Vibration Measurement. [PDF]
Malusare M, Mahmud M, Wang W.
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On the detection of delay faults
International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 2003The class of faults known as gate delay faults are investigated. A taxonomy of the classes of gate delay fault detecting tests is provided. Methods to derive robust and nonrobust tests to detect gate delay faults are proposed. A physically meaningful measure to assess the efficacy of test sequences is introduced, and used to report fault coverages.
Ankan K. Pramanick, Sudhakar M. Reddy
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Node faults may be frequent in a mobile ad hoc network (MANET). Most work related to fault detection and localization for MANETS essentially use changes in topology to identify faults. Most of this work does not distinguish between node movement that results in a functioning node moving out of range of all other nodes versus a node that crashes as the ...
Walee Al Mamun +3 more
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Logical method for detecting faults by fault detection table
2010 East-West Design & Test Symposium (EWDTS), 2010Algebro-logic vector method for diagnosing faults of systems and their components based on the use a fault detection table and transactional graph, is proposed. The method allows decreasing the verification time of software model.
Vladimir Hahanov +2 more
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Abstract Interval type parametric uncertainty has received little attention in the design procedures developed for robust detection filters. This paper focuses on increasing the robustness of a classically designed detection filter - one designed for uni-directionality of the output error residual - by monitoring the evolution of the tlme-frequency ...
P.M. Olin, G. Rizzoni
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