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Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The paper focuses on presenting data obtained from spin test experiments of a turbine engine like rotor disk and assessing their correlation to the development of a structural health monitoring and fault detection system.
The data were obtained under various operating conditions such as the rotor disk being artificially induced with and without a notch and rotated at a rotational speed of up to 10,000 rpm under balanced and imbalanced state.
The data collected included blade tip clearance, blade tip timing measurements, and shaft displacements.
Two different sensor technologies were employed in the testing: microwave and capacitive sensors, respectively.
The experimental tests were conducted at the NASA Glenn Research Center’s Rotordynamics Laboratory using a high precision spin system.
Disk flaw observations and related assessments from the collected data for both sensors are reported and discussed.
American Psychological Association (APA)
Abdul-Aziz, Ali& Woike, Mark. 2013. Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032890
Modern Language Association (MLA)
Abdul-Aziz, Ali& Woike, Mark. Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1032890
American Medical Association (AMA)
Abdul-Aziz, Ali& Woike, Mark. Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032890
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032890