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

Chapter
First Online:
Part of the Management and Industrial Engineering book series (MINEN)

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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Notes

Acknowledgements

The authors would like to acknowledge The World Academic of Sciences (TWAS) and German Research Foundation (DFG) for the award granted in supporting the research cooperation visit program. It is quite a research lift in crossbreeding ideas and sharing of scientific knowledge. Institute for Mechatronic system is quite appreciated for their hospitality, and the provision of conducive and enabling environment for the research activities.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringThe Federal University of Technology AkureAkureNigeria
  2. 2.Institute for Mechatronics Engineering SystemsLeibniz UniversityHannoverGermany

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