An earlier combined vibration and temperature analysis technique for rotating machinery fault diagnosis produced good results. This was, however, applied to a rotating machinery experimental rig operating at a constant speed. In the current study, using a similar approach, vibration data and temperature measurements obtained at different steady state rotating speeds for different fault conditions namely; crack, misalignment and rub, are fused together in a single analysis step. The objective in this case is to develop a computationally efficient fault diagnosis technique that can exploit data measured at different rotating speeds. The result obtained is an easily interpreted diagrammatical representation that shows clear discrimination between the different fault conditions tested and the healthy condition, thus offering the potential for practical application on variable speed machinery such as aero-engines.
Skip Nav Destination
Close
Sign In or Register for Account
ASME Turbo Expo 2014: Turbine Technical Conference and Exposition
June 16–20, 2014
Düsseldorf, Germany
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-4557-8
PROCEEDINGS PAPER
Combined Vibration and Temperature Analysis for Condition Monitoring of Aero-Engines
A. D. Nembhard,
A. D. Nembhard
University of Manchester, Manchester, UK
Search for other works by this author on:
J. K. Sinha
J. K. Sinha
University of Manchester, Manchester, UK
Search for other works by this author on:
A. D. Nembhard
University of Manchester, Manchester, UK
J. K. Sinha
University of Manchester, Manchester, UK
Paper No:
GT2014-25726, V01AT01A016; 7 pages
Published Online:
September 18, 2014
Citation
Nembhard, AD, & Sinha, JK. "Combined Vibration and Temperature Analysis for Condition Monitoring of Aero-Engines." Proceedings of the ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. Volume 1A: Aircraft Engine; Fans and Blowers. Düsseldorf, Germany. June 16–20, 2014. V01AT01A016. ASME. https://doi.org/10.1115/GT2014-25726
Download citation file:
- Ris (Zotero)
- Reference Manager
- EasyBib
- Bookends
- Mendeley
- Papers
- EndNote
- RefWorks
- BibTex
- ProCite
- Medlars
Close
Sign In
16
Views
0
Citations
Related Proceedings Papers
Related Articles
Pattern Recognition for Automatic Machinery Fault Diagnosis
J. Vib. Acoust (April,2004)
Degradation Assessment and Fault Modes Classification Using Logistic Regression
J. Manuf. Sci. Eng (November,2005)
Automated Operating Mode Classification for Online Monitoring Systems
J. Vib. Acoust (August,2009)
Related Chapters
Vibration Monitoring for Fault Diagnosis in Rotating Machinery Using Wavelet Transform
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Trend and XY Plots
Fundamentals of Rotating Machinery Diagnostics
Study on Aero-Engine Rotor Fault Diagnosis Based on Flight Data
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)