Univariate anomaly detection in a sensor network
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Jul 13, 2021
Grant Date -
Apr 1, 2021
app pub date -
Sep 30, 2019
filing date -
Sep 30, 2019
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
Embodiments determine anomalies in sensor data generated by a sensor. Embodiments receive a first time window of clean sensor data generated by the sensor, the clean sensor data including anomaly free data, and determine if the clean sensor data includes a cyclic pattern. When the clean sensor data has a cyclic pattern, embodiments divide the first time window into a plurality of segments of equal length, where each equal length includes the cyclic pattern. Embodiments convert the first time window and each of the plurality of segments into corresponding curves using Kernel Density Estimation (“KDE”). For each of the plurality of segments, embodiments determine a Kullback-Leibler (“KL”) divergence value between corresponding curves of the segment and the first time window to generate a plurality of KL divergence values.
First Claim
Other Claims data not available
Family
International Classification(s)
- 2019 Application Filing Year
- G01D Class
- 1333 Applications Filed
- 905 Patents Issued To-Date
- 67.90 % Issued To-Date
Cited Art Landscape
Patent Citation Ranking
- 0 Citation Count
- G01D Class
- 0 % this patent is cited more than
- 4 Age
Maintenance Fees
| Fee | Large entity fee | small entity fee | micro entity fee | due date |
|---|---|---|---|---|
| 3.5 Year Payment | $1600.00 | $800.00 | $400.00 | Jan 13, 2025 |
| 7.5 Year Payment | $3600.00 | $1800.00 | $900.00 | Jan 13, 2029 |
| 11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Jan 13, 2033 |
