Khan, Muhammad and Cooper, Dennis and Starr, Andrew (2007) Academic and commercial efforts in Wear Debris Analysis Automation (WDAA). Academic and commercial efforts in Wear Debris Analysis Automation (WDAA) .
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Abstract
Academic and commercial domain researchers have
introduced many state-of-the-art techniques to perform wear
debris analysis. However, due to lack of automation, debris
analysis still remains a difficult technique to implement and
practise. The research world commenced debris analysis
automation efforts in the late 70s, but up until now both
academic as well as commercial researchers have not utilised
the full potential of wear debris for machine diagnostics. In
this regard a comprehensive review is presented here. This
review covers the automation efforts made in academic
and commercial sectors for the last 28 years. In the review
of academic efforts, special emphasis is made regarding
techniques such as image processing, artificial intelligence, mathematical tools, statistical analysis tools and sensing methodologies. The review of commercial aspects is explained according to the debris inspection mode in the machine lubricant system. One aspect of debris analysis automation research, which is still missing in current available literature, is also mentioned at the end.
Item Type: | Article |
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Subjects: | T Technology > TJ Mechanical engineering and machinery |
Departments / MOR / COE: | Departments > Mechanical Engineering Research Institutes > Deep Water Technology |
Depositing User: | Dr Muhammad Ali Khan |
Date Deposited: | 18 Jan 2011 09:37 |
Last Modified: | 19 Jan 2017 08:26 |
URI: | http://scholars.utp.edu.my/id/eprint/4071 |