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

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

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

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

Cyfadran Cyfrifiadureg, Peirianneg a Gwyddoniaeth

Allbwn ymchwil: Cyfraniad at gynhadledd › Poster › adolygiad 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 wreiddiol	Saesneg
Statws	Cyhoeddwyd - 20 Meh 2017
Digwyddiad	Network Plus: Industrial Systems in the Digital Age Conference 2017 – Looking Beyond Industry 4.0 - University of Glasgow, Glasgow, Y Deyrnas Unedig Hyd: 20 Meh 2017 → 21 Meh 2017 https://connectedeverything.ac.uk/activities/events/conference-2017/

Cynhadledd

Cynhadledd	Network Plus: Industrial Systems in the Digital Age Conference 2017 – Looking Beyond Industry 4.0
Gwlad/Tiriogaeth	Y Deyrnas Unedig
Dinas	Glasgow
Cyfnod	20/06/17 → 21/06/17
Cyfeiriad rhyngrwyd	https://connectedeverything.ac.uk/activities/events/conference-2017/

Dyfynnu hyn

@conference{494f956cb15946a58ca99b78219ae6fb,

title = "The Virtual Engineer: Fault diagnostic and prognostic system for electro-mechanical system",

abstract = "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.",

author = "Egaji, {Oche Alexander} and Edward Smart and Faith Thompson and David Brown",

year = "2017",

month = jun,

day = "20",

language = "English",

note = "Network Plus: Industrial Systems in the Digital Age Conference 2017<br/>– Looking Beyond Industry 4.0 ; Conference date: 20-06-2017 Through 21-06-2017",

url = "https://connectedeverything.ac.uk/activities/events/conference-2017/",

}

The Virtual Engineer: Fault diagnostic and prognostic system for electro-mechanical system. / Egaji, Oche Alexander; Smart, Edward ; Thompson, Faith et al.
2017. Sesiwn boster a gyflwynwyd yn Network Plus: Industrial Systems in the Digital Age Conference 2017
– Looking Beyond Industry 4.0, Glasgow, Y Deyrnas Unedig.

Allbwn ymchwil: Cyfraniad at gynhadledd › Poster › adolygiad gan gymheiriaid

TY - CONF

T1 - The Virtual Engineer: Fault diagnostic and prognostic system for electro-mechanical system

AU - Egaji, Oche Alexander

AU - Smart, Edward

AU - Thompson, Faith

AU - Brown, David

PY - 2017/6/20

Y1 - 2017/6/20

N2 - 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.

AB - 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.

M3 - Poster

T2 - Network Plus: Industrial Systems in the Digital Age Conference 2017<br/>– Looking Beyond Industry 4.0

Y2 - 20 June 2017 through 21 June 2017

ER -

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

Crynodeb

Cynhadledd

Ôl bys

Dyfynnu hyn