Home // ICONS 2013, The Eighth International Conference on Systems // View article

Fault Detection of a Linear Friction Welding Production System Using an Analytical Model

Authors:
Darren Williams
Andrew Plummer
Peter Wilson

Keywords: modelling; fault detection; fault isolation.

Abstract:
This paper presents a fault detection and isolation (FDI) model for an industrial Linear Friction Welding (LFW) production machine in Rolls-Royce. The LFW machine is a complex 11 actuator machine which has 6 degrees of freedom. The inplane axis is the most complex axis due to the high power and high dynamic response requirements, necessitating the use of two four-stage servo valves. We adapted a previously proposed model with fault diagnosis techniques to enable fault detection and isolation for the LFW inplane welding axis. This paper will demonstrate the models ability to detect and isolate faults during production, allowing immediate detection - enabling operators or maintenance to utilize the information to effectively get the LFW machine back into production.

Pages: 69 to 76

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-246-2

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013