AUTOMATIC CONDITION MONITORING AND ANOMALY DETECTION FOR PREDICTIVE MAINTENANCE
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United States of America Patent
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Jun 17, 2016
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Jun 17, 2016
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Abstract
For a plurality of sensors, a particular sensor is indicated as a target sensor and the other sensors as input sensors. A regression model is trained using historical data from the plurality of related sensors. The trained regression model is applied to the target sensor to generate a predicted target sensor value. A difference between an actual target sensor value and the predicted target sensor value is calculated. A probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value is compared against a threshold value.
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