The Virtual Engineer: Fault diagnostic and prognostic system for electro-mechanical system

Oche Alexander Egaji, Edward Smart, Faith Thompson, David Brown

Allbwn ymchwil: Cyfraniad at gynhadleddPosteradolygiad gan gymheiriaid

Crynodeb

Digital manufacturing increases production efficiency and reduces production costs, but also increases the system complexity.
Condition monitoring of electromechanical systems is a vital component of digital manufacturing. It saves cost by enhancing the smooth running of machines; preventing catastrophic breakdown and unwanted maintenance schedules. For these reasons sensors are attached to the critical components of a machine to gather relevant information/data about its states. This project presents a system called the Virtual Engineer (TVE), which takes vibration sensor as input and the Kurtosis of the vibration signal as features, and use machine learning based method to evaluate the health state of the system.

Using this approach, over a period of thirty-six months, 92.3% of the developed faults have been successfully identified.
Iaith wreiddiolSaesneg
StatwsCyhoeddwyd - 20 Meh 2017
DigwyddiadNetwork Plus: Industrial Systems in the Digital Age Conference 2017
– Looking Beyond Industry 4.0
- University of Glasgow, Glasgow, Y Deyrnas Unedig
Hyd: 20 Jun 201721 Jun 2017
https://connectedeverything.ac.uk/activities/events/conference-2017/

Cynhadledd

CynhadleddNetwork Plus: Industrial Systems in the Digital Age Conference 2017
– Looking Beyond Industry 4.0
Gwlad/TiriogaethY Deyrnas Unedig
DinasGlasgow
Cyfnod20/06/1721/06/17
Cyfeiriad rhyngrwyd

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