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预测性维护 - 在设备发生故障前预测设备故障的方法 - 是许多想要从历史性能数据中获取业务价值的组织的重中之重。在本研讨会中,你将了解到机器学习和大数据技术如何与传统的基于模型的技术一起使用,以创建用于预测故障的混合方法,并且,通过案例研究,我们将展示如何利用MATLAB®提供一个构建预测性维护算法的通用平台。
录制日期: 2017 年 6 月 20 日
使用 MATLAB 衔接无线通信设计与测试
使用 MATLAB 和 Simulink 克服预测性维护的四个常见障碍
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Machine Learning for Predictive Modelling (Highlights)
Machine Learning for Predictive Modelling
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