Hans on IoT

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预测维护：从开发到IOT部署

发布者Hans Scharler.那

21次观看（过去30天）|Likes|0.comment

预见性维护的兴趣正在增加s more and more companies see it as a key application for data analytics that leverages IoT systems. Branko Dijkstra, a technical consultant at MathWorks, held a讲话at the MATLAB Conference and covers the development of predictive maintenance algorithms, as well as their deployment on the two main nodes of IoT systems—the edge and the cloud.

What do you expect from predictive maintenance?

  • Maintenance cares about day-to-day operations –Reduced downtime
  • Operations and IT look at the bigger picture –改善了运营效率
  • 工程组获取产品反馈 -更好的客户体验
  • Upper management wants to drive growth –New revenue streams

Why MATLAB and Simulink for predictive maintenance?

  • 快速开始
  • 减少存储和传输所需的数据量
  • 根据您的观众提供分析结果
  • 在没有实际故障数据的情况下为算法创建训练数据

您可以观看Branko的完整谈话并从MathWorks下载相关资源视频和网络研讨会。

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标签:
深度学习工具箱，
Matlab，
预测维护，
信号处理工具箱，
统计和机器学习工具箱，
系统识别工具箱
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