Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective-Reference-Cited by-同舟云学术

Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective

Published:2017-05-29 Issue:1-4 Volume:93 Page:811-823
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Griffin James M.,Doberti Alejandro J.,Hernández Valbort,Miranda Nicolás A.,Vélez Maximiliano A.

Funder

Departamento de Ingeniería Mecánica, Universidad de Chile

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-017-0320-3/fulltext.html

Reference24 articles.

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5. Griffin J, Chen X (2009) Multiple classifications of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming. International Journal of Advanced Manufacturing Technology 45(11–12):1152–1168

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