Abstract
Machinery condition monitoring and fault diagnosis using a fault matrix and process deviation approach is described. In particular the application of computer aided diagnosis using an expert system based on artificial intelligence is considered. A prototype fault finding system has been developed and tested. Some examples from this system and some more recent results from an ongoing research programme are outlined.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1986 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
White, M.F. (1986). Automated Fault Diagnosis. In: Hollnagel, E., Mancini, G., Woods, D.D. (eds) Intelligent Decision Support in Process Environments. NATO ASI Series, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-50329-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-50329-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-50331-3
Online ISBN: 978-3-642-50329-0
eBook Packages: Springer Book Archive