{"id":2601,"date":"2019-05-06T10:48:18","date_gmt":"2019-05-06T14:48:18","guid":{"rendered":"https:\/\/blogs.mathworks.com\/iot\/?p=2601"},"modified":"2019-05-06T11:27:17","modified_gmt":"2019-05-06T15:27:17","slug":"predictive-maintenance-from-development-to-iot-deployment","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/iot\/2019\/05\/06\/predictive-maintenance-from-development-to-iot-deployment\/","title":{"rendered":"Predictive Maintenance: From Development to IoT Deployment"},"content":{"rendered":"

Interest in predictive maintenance is increasing as 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 talk<\/a> 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\u2014the edge and the cloud.<\/p>\n

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What do you expect from predictive maintenance?<\/h3>\n