Sensor output change detection
AssigneeInternational Business Machines Corporation
InventorToshihiro Takahashi
Life of this patent
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Abstract
A method includes acquiring a first data column output from a plurality of sensors, generating a model for estimating data from the plurality of sensors on the basis of the first data column, acquiring a second data column output from the plurality of sensors, obtaining an estimated data column corresponding to the second data column based on the model by using regularization for making an error between the second data column and the estimated data column sparse, and identifying a sensor in which a change occurred between the first data column and the second data column on the basis of the error between the second data column and the estimated data column. A corresponding computer program product and apparatus are also disclosed herein.
Claims20
An apparatus comprising:
- a first acquisition unit which acquires a first data column output from a plurality of sensors;
- a generation unit which generates a model for estimating data from the plurality of sensors on the basis of the first data column;
- a second acquisition unit which acquires a second data column output from the plurality of sensors;
- an estimation unit which obtains an estimated data column corresponding to the second data column based on the model by using regularization for making an error between the second data column and the estimated data column sparse;
- and
- an identification unit which identifies a sensor in which a change occurred between the first data column and the second data column on the basis of the error between the second data column and the estimated data column.
A method comprising:
- acquiring a first data column output from a plurality of sensors;
- generating a model for estimating data from the plurality of sensors on the basis of the first data column;
- acquiring a second data column output from the plurality of sensors;
- obtaining an estimated data column corresponding to the second data column based on the model by using regularization for making an error between the second data column and the estimated data column sparse;
- and
- identifying a sensor in which a change occurred between the first data column and the second data column on the basis of the error between the second data column and the estimated data column.
A computer program product comprising:
- one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising instructions to:
- acquire a first data column output from a plurality of sensors;
- generate a model for estimating data from the plurality of sensors on the basis of the first data column;
- acquire a second data column output from the plurality of sensors;
- obtain an estimated data column corresponding to the second data column based on the model by using regularization for making an error between the second data column and the estimated data column sparse;
- and
- identify a sensor in which a change occurred between the first data column and the second data column on the basis of the error between the second data column and the estimated data column.
Dependencies are inferred from the claim text.