Physics-Based Simulation for Health Management of Rotating Machinery

Date published

2011-06-22T00:00:00Z

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Department

Type

Conference paper

ISSN

Format

Citation

Ryan Walker, Suresh Perinpanayagam and Ian Jennions. Physics-Based Simulation for Health Management of Rotating Machinery. 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Cardiff Bay, UK, 20-22 June 2011, Pages 647-658.

Abstract

Data-driven techniques for diagnosing faults in rotating machinery have a long history. Such approaches undoubtedly have their strengths and much research is still being performed in this area - recently into gearbox and bearing faults in particular. However, with the increasing power and sophistication of simulation tools, new methods for diagnosis, localization and prognosis of faults are rapidly being researched. This paper outlines current developments in modeling and simulation for rotating machinery health management and discusses the potential for such technologies to move from the realm of research into live systems. Comparisons and synergies with traditional data driven methods are made and it is concluded that simulation-driven techniques have much potential for next generation PHM systems.

Description

Software Description

Software Language

Github

Keywords

DOI

Rights

Relationships

Relationships

Supplements

Funder/s