Data fusion of acceleration and velocity features (dFAVF) approach for fault diagnosis in rotating machines

Research output: Contribution to conferencePaper

Abstract

Earlier research studies have suggested the unified
vibration-based approach for fault diagnosis (FD) in identical
machines with different foundation flexibilities and multi-rotating
speeds. Intially the acceleration-based features were used for this
approach then further work optimised the approach by combining
acceleration and velocity features from vibration data for analysis.
However the optimised approach was only tested on the identical
machines rotating at different speeds below the machine’s first
critical speed. The current paper tends to observe the optimised
approach when applied to a test rig operating below and above the
machine’s first critical speed.

Bibliographical metadata

Original languageEnglish
Pages1-6
Number of pages6
Publication statusPublished - 13 Oct 2018
Event14th International Conference on VIBRATION ENGINEERING AND TECHNOLOGY OF MACHINERY - The Department of Civil Engineering of Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa (DEC/FCT/UNL) and IDMEC - Institute of Engineering Mechanics of Instituto Superior Técnico of University of Lisbon (IDMEC/IST/UL), Lisbon, Portugal
Event duration: 10 Sep 201813 Sep 2018
Conference number: 14
http://www.conf.pt/index.php/vetomac

Conference

Conference14th International Conference on VIBRATION ENGINEERING AND TECHNOLOGY OF MACHINERY
Abbreviated titleVETOMAC 2018
CountryPortugal
CityLisbon
Period10/09/1813/09/18
Internet address