WO2023156827 - ANOMALY DETECTION
National phase entry is expected:
Publication Number
WO/2023/156827
Publication Date
24.08.2023
International Application No.
PCT/IB2022/051475
International Filing Date
18.02.2022
Title **
[English]
ANOMALY DETECTION
[French]
DÉTECTION D'ANOMALIE
Applicants **
TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
SE-164 83 Stockholm, SE
Inventors
HUANG, Zhaoji
No.7 Longkouzhong Road, Tianhe District,
Apt D2202
Guangzhou, Guangdong 950635, CN
ARAVAMUTHAN, Sarang
3029 Kilo Ave.
San Jose, California 95124, US
BARRANCO, Angel
651 Pinelli Drive
Los Banos, California 93635, US
DESHMUKH, Kunal Rajan
185 Estancia Dr., Unit 458
San Jose, California 95134, US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
| * | |
| * | |
International Searching Authority |
EPO
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1236 | |
| EPO | Filing, Examination | 6896 | |
| Japan | Filing | 590 | |
| South Korea | Filing | 482 | |
| USA | Filing, Examination | 3710 |
Total: 12914 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
A method (300) for anomaly detection. The method includes storing (s302) time series data, the stored time series data comprising a first set of N data points, wherein N > 2 and each data point in the first set of data points was obtained at a different point in time. The method further includes using (s304) the most current data point from the first set of N data points to determine whether or not to perform an anomaly detection process using at least N-1 of the N data points.[French]
Procédé (300) de détection d'anomalie. Le procédé consiste à stocker (s302) des données de série chronologique, les données de série chronologique stockées comprenant un premier ensemble de N points de données, N étant supérieur à 2 et chaque point de données dans le premier ensemble de points de données ayant été obtenu à un instant différent. Le procédé consiste en outre à utiliser (s304) le point de données le plus actuel à partir du premier ensemble de N points de données afin de déterminer s'il convient ou non d'effectuer un processus de détection d'anomalie à l'aide d'au moins N-1 des N points de données.