Algorithms for Fault Detection and Diagnosis

Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involv...

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Další autoři:	Ferracuti, Francesco (Editor), Freddi, Alessandro (Editor), Monteriù, Andrea (Editor)
Médium:	Kapitola
Vydáno:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Témata:	History of engineering & technology structural health monitoring digital image processing damage gray level co-occurrence matrix self-organization map rolling bearings fault diagnosis multiscale entropy amplitude-aware permutation entropy random forest reusable launch vehicle thruster valve failure thruster fault detection Kalman filter machine vision machine diagnostics instantaneous angular speed SURVISHNO 2019 challenge video tachometer motion tracking edge detection parametric template modeling adaptive template matching genetic algorithm misalignment fault prediction combined prediction multivariate grey model quantum genetic algorithm least squares support vector machine lithium-ion battery battery faults battery safety battery management system fault diagnostic algorithms
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Algorithms for Fault Detection and Diagnosis

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