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End game for maintenance

机译:终端游戏进行维护

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摘要

Disruptive technologies such as artificial intelligence, machine learning and data analytics are pushing maintenance into a digital future, as Mark Venables explains Significant time and cost benefits are available now to enhance smart maintenance regimes, using prevention rather than cure. The near future is even brighter, where the roll-out of Industry 4.0 technologies are enabling companies to connect and visualise machine data. Component life expectancy data can be combined with cloud-hosted application data. Bringing in the power of artificial intelligence and machine-to-machine learning will further dramatically change the possibility to predict and prevent failures and improve OEE.
机译:破坏性技术,如人工智能,机器学习和数据分析正在将维护推向数字化的未来,因为马克范围内解释了大量时间,现在可以使用预防而不是固化来增强智能维护制度的成本效益。 不久的将来甚至更加明亮,滚出行业4.0技术使公司能够连接和可视化机器数据。 组件寿命期望数据可以与云托管的应用程序数据组合。 带来人工智能和机器到机器学习的力量将进一步大大改变预测和防止失败并改善OEE的可能性。

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