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Arebi, Lufti, Fan, Yibo, Gu , Fengshou and Ball, Andrew (2010) Investigation of Wireless Sensor Deployed on a Rotating Shaft and Its Potential for Machinery Condition Monitoring. In: 23rd International Congress on Condition Monitoring and diagnostic Engineering Management, June 28-July 2, 2010, Japan. (Unpublished)
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Abstract
Rotating shafts are the most critical component of rotating machines such as motors, pumps, engines and turbines. Due to their heavy duties, defects are more like developed during operation. There are many techniques used to monitor shaft defects by analysing the vibration of the shaft as well as the instantaneous angular speed (IAS) of the shaft. The signal are measured either using non-contact techniques such as laser-based measurement or indirect measurement such as the vibration on bearing housings. The advancement in low cost and low power Micro Electro Mechanical Systems (MEMS) make it possible to develop an integrated wireless sensor which can be mounted on the shaft. This can make the fault diagnosis of rotating shafts more effective because the sensor can be mounted on the shaft directly. This paper presented a novel integrated wireless accelerometer for rotational parameter measurement. Its performance is benchmarked with that from a shaft encoder. Experimental results show that the wireless acceleration signal has less noise and hence it is more possible for small fault detection.
Keywords: Wireless sensor, Rotating shaft, Instantaneous angular speed, Condition monitoring
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
| Schools: | School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group School of Computing and Engineering > Informatics Research Group School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group |
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| References: | [1] F. Andrés Bejarano, Jia Yi, Frederick Just. (2007), Crack Identification of a Rotating Shaft With Integrated Wireless Sensors. University of Puerto Rico, Mayaguez Campus, Mechanical Engineering Department, PO Box 9045, Mayaguez, Puerto Rico 00681-9045 |
| Depositing User: | Lutfi Arebi |
| Date Deposited: | 20 Aug 2010 13:45 |
| Last Modified: | 08 Dec 2010 12:37 |
| URI: | http://eprints.hud.ac.uk/id/eprint/8264 |
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