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FUEL GAUGE VISUALIZATION OF IOT BASED PREDICTIVE MAINTENANCE SYSTEM USING MULTI-CLASSIFICATION BASED MACHINE LEARNING
FUEL GAUGE VISUALIZATION OF IOT BASED PREDICTIVE MAINTENANCE SYSTEM USING MULTI-CLASSIFICATION BASED MACHINE LEARNING
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机译:基于多分类的机器学习对基于物联网的预测维护系统的燃料规可视化
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摘要
A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.
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