Estimation of abnormal sensors
First Claim
Patent Images
1. An apparatus comprising:
- a target data acquiring section operable to acquire target data serving as an examination target, the target data output by a plurality of sensors;
a calculating section operable to calculate, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group; and
an estimating section operable to estimate at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor.
1 Assignment
0 Petitions
Accused Products
Abstract
Provided is an estimation apparatus including a target data acquiring section operable to acquire target data serving as an examination target, the target data output by a plurality of sensors, a calculating section operable to calculate, for each of a plurality of sensor groups that each include two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group, and an estimating section operable to estimate a sensor among the plurality of sensors to be a source of outlierness, based on a calculation result of the calculating section.
10 Citations
20 Claims
-
1. An apparatus comprising:
-
a target data acquiring section operable to acquire target data serving as an examination target, the target data output by a plurality of sensors; a calculating section operable to calculate, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group; and an estimating section operable to estimate at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. An apparatus comprising:
-
a reference data acquiring section operable to acquire reference data serving as a reference for output of a plurality of sensors; a distribution generating section operable to generate, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a reference data distribution of output from the sensor group based on the reference data; and an output section that operable to output the reference data distribution generated for each of the sensor groups, to be used by an apparatus that calculates, for each of the plurality of sensor groups, a degree of outlierness of target data serving as an examination target output from the plurality of sensors relative to the reference data distribution, and estimates at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor. - View Dependent Claims (17)
-
-
18. A method comprising:
-
acquiring target data serving as an examination target, the target data output by a plurality of sensors; calculating, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group; and estimating at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor.
-
-
19. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform operations comprising:
-
acquiring target data serving as an examination target, the target data output by a plurality of sensors; calculating, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group; and estimating at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor.
-
-
20. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform operations comprising:
-
acquiring reference data serving as a reference for output of a plurality of sensors; generating, for each of a plurality of sensor groups that each include at least two sensors among the plurality of sensors, a reference data distribution of output from the sensor group based on the reference data; and outputting the reference data distribution generated for each of the sensor groups, the output reference data distribution to be used to calculate, for each of the plurality of sensor groups, a degree of outlierness of target data serving as an examination target output from the plurality of sensors relative to the reference data distribution, and to estimate at least one sensor among the plurality of sensors to be a source of outlierness, based on a comparison of the degrees of outlierness of the sensor groups that include the at least one sensor to the degrees of outlierness of the sensor groups that lack the at least one sensor.
-
Specification