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METHOD OF DETECTING ANOMALIES ON APPLIANCES AND SYSTEM THEREOF

  • US 20170315855A1
  • Filed: 05/02/2016
  • Published: 11/02/2017
  • Est. Priority Date: 05/02/2016
  • Status: Abandoned Application
First Claim
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1. A computer-implemented method for identifying anomalies in data streams using a processor operatively connected to a memory, the method comprising:

  • receiving sensor readings associated with a home appliance of a home appliance type;

    clustering by a processor the sensor readings into a plurality of clusters;

    extracting by the processor from the sensor readings transition features associated with a transition, in accordance with the plurality of clusters, the transitions indicating state changes in the home appliance, each state associated with a cluster; and

    based on the transition features, determining transition probabilities between states of the home appliance for a plurality of transition time indicators and accommodating the transition probabilities in the memory,wherein the transition probabilities are adapted for detecting anomalies in transitions occurring in further sensor readings, thus identifying abnormal behavior of another appliance of the home appliance type.

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