Industrial monitoring system device dislodgement detection
AssigneeAmazon Technologies, Inc.
InventorsDavid Manley, Marinus Jan de Putter
Life of this patent
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Abstract
An industrial monitoring system comprises a monitoring device attached to an industrial device by a bond. Sensor data collected by the monitoring device during a commissioning period is received and used to train a machine learning model. Subsequent to the commissioning period, additional sensor data is collected by the monitoring device. An abnormal state of the bond between the monitoring device and industrial device is determined based on the additional sensor data and a characteristic inferred by the trained machine learning model. A notification of the abnormal state is generated.
Claims20
A system, comprising:
- at least one processor;
- and
- at least one memory comprising instructions that, in response to execution by the at least one processor, cause the device to at least:
- receive first data indicative of a metric obtained by a monitoring device, the monitoring device attached by a bond to an industrial device, the first data obtained by the monitoring device during a commissioning period of the monitoring device;
- train a neural network, based at least in part on the first data, to infer a characteristic of the metric;
- receive second data indicative of the metric, the second data obtained by the monitoring device subsequent to the commissioning period;
- determine, based at least in part on the second data and the characteristic of the metric inferred by the neural network, that the bond is in an abnormal state;
- and
- generate a notification of the abnormal state of the bond.
A method, comprising:
- receiving first data indicative of a metric obtained by a monitoring device, the monitoring device attached by a bond to an industrial device, the first data obtained by the monitoring device during a first time period;
- training a machine learning model, based at least in part on the first data, to infer a characteristic of the metric;
- receiving second data indicative of the metric, the second data obtained by the monitoring device during a second time period;
- determining, based at least in part on the second data and the characteristic of the metric inferred by the machine learning model, that a state of the bond has changed;
- and
- generating a notification of the changed state of the bond.
A non-transitory computer-readable storage medium comprising instructions that, in response to execution by at least one processor of a computing device, cause the computing device to at least:
- obtain first data indicative of a metric obtained by a monitoring device, the monitoring device attached by a bond to an industrial device, the first data obtained by the monitoring device during a first time period;
- obtain second data indicative of the metric, the second data obtained by the monitoring device during a second time period;
- determine, based at least in part on the second data and an inferred characteristic of the metric, that a state of the bond has changed, wherein the inferred characteristic is inferred using a machine learning model trained using the first data;
- and
- send a notification of the changed state of the bond.
Dependencies are inferred from the claim text.