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
Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Aiheet:	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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Linkit:	ONIX_20210501_9783036504629_240
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Lisää ensimmäinen kommentti!

Algorithms for Fault Detection and Diagnosis

Samankaltaisia teoksia