Automatic condition monitoring and anomaly detection for predictive maintenance
AssigneeBusiness Objects Software Ltd.
InventorsYing Wu, Malte Christian Kaufmann, Robert McGrath, Ulrich Schlueter, Simon Sitt
Life of this patent
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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.
Claims20
A computer-implemented method, comprising:
- indicating, for a plurality of related sensors, a particular sensor as a target sensor and the other sensors as input sensors;
- training a regression model using historical data from the plurality of related sensors;
- applying the trained regression model to the target sensor to generate a predicted target sensor value;
- calculating a difference between an actual target sensor value and the predicted target sensor value;
- and
- comparing a probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value against a threshold value.
A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:
- indicating, for a plurality of related sensors, a particular sensor as a target sensor and the other sensors as input sensors;
- training a regression model using historical data from the plurality of related sensors;
- applying the trained regression model to the target sensor to generate a predicted target sensor value;
- calculating a difference between an actual target sensor value and the predicted target sensor value;
- and
- comparing a probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value against a threshold value.
A computer system, comprising:
- a computer memory;
- and
- a hardware processor interoperably coupled with the computer memory and configured to perform operations comprising:
- indicating, for a plurality of related sensors, a particular sensor as a target sensor and the other sensors as input sensors;
- training a regression model using historical data from the plurality of related sensors;
- applying the trained regression model to the target sensor to generate a predicted target sensor value;
- calculating a difference between an actual target sensor value and the predicted target sensor value;
- and
- comparing a probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value against a threshold value.
Dependencies are inferred from the claim text.