Condition monitoring of slow speed slewing bearing based on largest lyapunov exponent algorithm and circular-domain feature extractions

Citation

• Caesarendra, W., Kosasih, B., Tieu, A. Kiet. & Moodie, C. A. S. (2013). Condition monitoring of slow speed slewing bearing based on largest lyapunov exponent algorithm and circular-domain feature extractions. 26th International Condition Monitoring and Diagnostic Engineering Management Congress (COMADEM) United Kingdom: Condition Monitoring and Diagnostic Engineering Management.

Ro Full-text Url

• http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3282&context=eispapers

Ro Metadata Url

• http://ro.uow.edu.au/eispapers/2273

Place Of Publication

• http://www.comadem.co.uk/conferences

Abstract

Authors

•   Caesarendra, Wahyu (external author)
•   Kosasih, Buyung B.
•   Tieu, A Kiet.
•   Moodie, Craig A. S. (external author)

Publication Date

• 2013

Has Subject Area

• 0910 - MANUFACTURING ENGINEERING
• 0912 - MATERIALS ENGINEERING
• 0913 - MECHANICAL ENGINEERING

Citation

• Caesarendra, W., Kosasih, B., Tieu, A. Kiet. & Moodie, C. A. S. (2013). Condition monitoring of slow speed slewing bearing based on largest lyapunov exponent algorithm and circular-domain feature extractions. 26th International Condition Monitoring and Diagnostic Engineering Management Congress (COMADEM) United Kingdom: Condition Monitoring and Diagnostic Engineering Management.

Ro Full-text Url

• http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3282&context=eispapers

Ro Metadata Url

• http://ro.uow.edu.au/eispapers/2273

Place Of Publication

• http://www.comadem.co.uk/conferences