详情

原文传递 DATA FLOOD

题名：	DATA FLOOD
正文语种：	eng
作者：	Toby Clark
摘要：	Sectors of industry which operate constantly, such as manufacturing and shipping, aircraft and rail operations, often use a form of predictive maintenance known as condition-based maintenance (CBM). The machine is inspected while it is running, with the emphasis often being on rotating components such as bearings: these may be subject to vibration analysis, oil analysis or thermography. Meanwhile, vehicle operators are making more and more use of predictive techniques, made possible by on-board sensors and the connected nature of modern trucks. For instance, tyre pressure monitoring has proven to be an effective form of predictive maintenance; a loss of pressure correlates pretty well to the likelihood of a blowout (as well as being bad for your fuel consumption, of course). But other systems in a truck are more complex, and generate a mass of data - and given the diverse nature of truck operations and the vehicles themselves, this can be extremely difficult to interpret. So manufacturers are using artificial intelligence (AI) or machine learning (ML) to generate useful conclusions and recommendations.
出版年：	2022
期刊名称：	Transport engineer
期：	Jun.
页码：	18-20