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Predictive analysis for remote machine monitoring

  • US 9,372,482 B2
  • Filed: 05/12/2011
  • Issued: 06/21/2016
  • Est. Priority Date: 05/14/2010
  • Status: Active Grant
First Claim
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1. A method for predicting a machine event for a mining machine comprising:

  • receiving data for current events for the mining machine;

    determining whether the data for the current events is within operational limits;

    when the data for the current events is within operational limits, determining, using a predetermined model, whether an anomaly exists; and

    generating an alert comprising information on the anomaly when the anomaly exists,wherein the data for current events comprises temperature for crowd bearings on a crowd motor drive end and temperature of crowd bearings at a non-driven end for a crowd belt oil the mining machine, and wherein the predetermined model monitors relative temperature between the crowd bearings and provides a cross-correlation between bearing temperatures and tension of the crowd belt to identify the anomaly for the crowd belt tension.

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