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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Yhteisötekijät: Ferracuti, Francesco, Freddi, Alessandro, Monteriù, Andrea
Aineistotyyppi: Livro
Kieli:Inglês
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2021
Aiheet:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and 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
Linkit:https://directory.doabooks.org/handle/20.500.12854/68494
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