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Rotor Misalignment Detection using a Wireless Sensor and a Shaft Encoder

Arebi, Lufti, Gu, Fengshou and Ball, Andrew (2010) Rotor Misalignment Detection using a Wireless Sensor and a Shaft Encoder. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC’10. University of Huddersfield, Huddersfield, pp. 6-13. ISBN 9781862180932

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      Abstract

      Mechanical systems such as motors, pumps, engines, and turbine are all operating based on different shafts. Due to unexpected operating conditions, various faults such as cross-sectional cracks, looseness and misalignment may occur during their service life. This paper presents the analysis of collected signals from a wireless sensor and a shaft encoder and compares their responses under different degrees of shaft misalignment. The results have shown that the wireless sensor outperforms the encoder in detecting small shaft misalignment.

      Item Type: Book Chapter
      Uncontrolled Keywords: Wireless Sensor, Vibration, Misalignment, Encoder, Instantaneous Angular Speed (IAS)
      Subjects: T Technology > T Technology (General)
      T Technology > TJ Mechanical engineering and machinery
      Schools: School of Computing and Engineering
      School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
      School of Computing and Engineering > Diagnostic Engineering Research Centre
      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
      School of Computing and Engineering > Automotive Engineering Research Group
      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
      Related URLs:
      Depositing User: Sharon Beastall
      Date Deposited: 12 Jan 2011 13:10
      Last Modified: 12 Jan 2011 13:10
      URI: http://eprints.hud.ac.uk/id/eprint/9307

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