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Methods of Modern Aircraft Structural Health Monitoring and Diagnostics of Technical State Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Machine Signature Integrity and Data Trends Monitoring, a Diagnostic Approach to Fault Detection

Author : Michael Kanisuru Adeyeri

Published in: Diagnostic Techniques in Industrial Engineering

Publisher: Springer International Publishing

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Abstract

This chapter proposes machine signature integrity and its violation detection as an approach to fault diagnostic. It uses machine history and its present (in situ) data through monitoring as potent tool in detecting incipient faults. This monitoring program is a function of set parameters that put in place as watch dog to provide signals or alert whenever there is fault initiation on the machine system. A robust flowchart on how fault could be detected, isolated, and identified along with its algorithm for the diagnostic program inherent on vibration-induced faults is presented, and if these algorithms are rightly appropriated, fault will not only be detected, but isolated and identified in any production system or manufacturing.

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Metadata
Title
Machine Signature Integrity and Data Trends Monitoring, a Diagnostic Approach to Fault Detection
Author
Michael Kanisuru Adeyeri
Copyright Year
2018
Book
Diagnostic Techniques in Industrial Engineering

Print ISBN: 978-3-319-65496-6

Electronic ISBN: 978-3-319-65497-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-65497-3_2

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