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Academic and commercial efforts in Wear Debris Analysis Automation (WDAA)

机译:磨损碎片分析自动化(WDAA)的学术和商业努力

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摘要

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.
机译:学术和商业领域的研究人员已经引入了许多最先进的技术来进行磨损碎片分析。但是,由于缺乏自动化,碎片分析仍然是难以实施和实践的技术。研究世界在70年代后期开始进行碎片分析自动化工作,但是直到现在,无论是学术研究人员还是商业研究人员,都尚未充分利用磨损碎片进行机器诊断的全部潜力。在这方面,这里提出了全面的审查。这篇综述涵盖了过去28年在学术和商业领域的自动化工作。在学术研究的回顾中,特别强调了诸如图像处理,人工智能,数学工具,统计分析工具和传感方法之类的技术。商业方面的回顾将根据机器润滑剂系统中的碎屑检查模式进行说明。最后,还提到了碎片分析自动化研究的一个方面,该方面在当前可用的文献中仍然缺少。

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