Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.
Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.
Type:
Grant
Filed:
April 18, 2017
Date of Patent:
February 14, 2023
Assignee:
Arundo Analytics, Inc.
Inventors:
Matthew Strecker Burriesci, Martin Jared Lee
Abstract: A system and method including receiving a request to remove a contribution of a targeted sensor data set from a construction of a model. The targeted sensor data set is from a plurality of sensor data sets, each of the plurality of sensor data sets is associated with sensors monitoring industrial systems, the model is constructed at least in part from the plurality of sensor data sets, and each of the plurality of sensor data sets is tagged with at least one unique accession identifier. An accession identifier associated with the targeted sensor data set is then identified, and the construction of the model is modified to remove the contribution of the targeted sensor data set based at least in part on identifying the accession identifier associated with the targeted sensor data set.
Type:
Application
Filed:
August 15, 2017
Publication date:
February 21, 2019
Applicant:
Arundo Analytics, Inc.
Inventors:
Matthew Strecker Burriesci, Martin Jared Lee, Mogens L. Mathiesen
Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.
Type:
Application
Filed:
April 18, 2017
Publication date:
October 18, 2018
Applicant:
Arundo Analytics, Inc.
Inventors:
Matthew Strecker Burriesci, Martin Jared Lee