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)
Inventors
HUANG, Zhaoji
ARAVAMUTHAN, Sarang
BARRANCO, Angel
DESHMUKH, Kunal Rajan
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 | * |
| * | |
| Number of Office Actions | * |
| * | |
International Searching Authority |
EPO
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
|
* 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, Examination, Granting | 2169 | |
| EPO | Filing, Examination, Granting | 12413 | |
| Japan | Filing, Examination, Granting | 2441 | |
| South Korea | Filing, Examination, Granting | 2590 | |
| USA | Filing, Examination, Granting | 5740 |
Total:
25,353
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Contact Us
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.