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INTERNET OF THINGS BASED DETERMINATION OF MACHINE RELIABILITY AND AUTOMATED MAINTAINENACE, REPAIR AND OPERATION (MRO) LOGS

  • US 20170011298A1
  • Filed: 04/25/2015
  • Published: 01/12/2017
  • Est. Priority Date: 02/23/2015
  • Status: Active Grant
First Claim
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1. A computer implemented method for determining reliability of a machine, comprising:

  • receiving at least one of machine operational condition data, machine historical operational data and machine specific information data from at least one location through an internet of things (IOT) based machine wearable sensor network;

    storing the data in a distributed computer database communicatively coupled to an enterprise resource planning (ERP) system;

    extracting, through a computer server, at least one entity information from the data to compare against a pre-defined baseline;

    mapping, though a big data machine learning engine, the extracted at least one entity information into a multi-classification model,wherein the mapping includes;

    classifying the data into a root cause analysis engine,mapping the data into one or more levels of predictive maintenance (PM) states,wherein the PM states are associated with color schemes including one of a red, yellow and green;

    analyzing, through a real-time data feed platform associated with a distributed real-time computation system, the mapped at least one entity information;

    indicating, through a machine learning engine coupled to a predictive analytics engine, on a user interface a set of analytical predictions for machine maintenance, repair and operation.

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