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Mining equipment gets smart

机译:采矿设备变得智能

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Artificial intelligence is being used to give early warning of machine faults responsible for millions of dollars of lost profits annually in the underground mining industry. If adopted, says Fresh Innovator Dr Daniel Bongers, this technology could significantly reduce machine downtime, which at present represents more than three months of lost production each year. Dr Bongers, a mechanical engineer from the Co-operative Research Centre Mining (CRCMining), developed his novel and effective fault detection system as part of an industry-funded PhD project. It is based on a combination of engineering knowledge and neural network technology, he says.
机译:人工智能正被用于对机器故障进行预警,这些机器故障每年导致地下采矿行业数百万美元的利润损失。 Fresh Innovator博士Daniel Bongers博士说,如果采用,这项技术可以显着减少机器停机时间,目前这意味着每年的生产损失超过三个月。 Bongers博士是矿业合作研究中心(CRCMining)的机械工程师,开发了他新颖有效的故障检测系统,这是一项由行业资助的博士项目的一部分。他说,它基于工程知识和神经网络技术的结合。

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