Fault Detection and Diagnosis in Process Data Using Support Vector Machines

article published in 2014

Fault Detection and Diagnosis in Process Data Using Support Vector Machines is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/jam/WuYK14
P356DOI10.1155/2014/732104

P50authorShen YinQ60651240
Hamid-Reza KarimiQ73117586
P2093author name stringFang Wu
P2860cites workObserver-based adaptive neural network control for nonlinear stochastic systems with time delayQ51283975
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Output-Feedback-Based $H_{\infty}$ Control for Vehicle Suspension Systems With Control DelayQ58336065
Data-Driven Adaptive Observer for Fault DiagnosisQ58912145
P275copyright licenseCreative Commons Attribution 3.0 UnportedQ14947546
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usessupport vector machineQ282453
P921main subjectsupport vector machineQ282453
diagnosisQ16644043
P304page(s)1-9
P577publication date2014-01-01
P1433published inJournal of Applied MathematicsQ13359509
P1476titleFault Detection and Diagnosis in Process Data Using Support Vector Machines
P478volume2014

Reverse relations

cites work (P2860)
Q35856887A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System
Q59112028Fault Modeling and Testing for Analog Circuits in Complex Space Based on Supply Current and Output Voltage

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