JP2020198092A5 - - Google Patents
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- JP2020198092A5 JP2020198092A5 JP2020082293A JP2020082293A JP2020198092A5 JP 2020198092 A5 JP2020198092 A5 JP 2020198092A5 JP 2020082293 A JP2020082293 A JP 2020082293A JP 2020082293 A JP2020082293 A JP 2020082293A JP 2020198092 A5 JP2020198092 A5 JP 2020198092A5
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/431,571 US11448570B2 (en) | 2019-06-04 | 2019-06-04 | Method and system for unsupervised anomaly detection and accountability with majority voting for high-dimensional sensor data |
| US16/431,571 | 2019-06-04 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020198092A JP2020198092A (ja) | 2020-12-10 |
| JP2020198092A5 true JP2020198092A5 (https=) | 2023-02-20 |
| JP7748798B2 JP7748798B2 (ja) | 2025-10-03 |
Family
ID=73578808
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020082293A Active JP7748798B2 (ja) | 2019-06-04 | 2020-05-08 | 教師なし異常検出及び高次元センサデータの多数決投票による原因説明のための方法及びシステム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US11448570B2 (https=) |
| JP (1) | JP7748798B2 (https=) |
| CN (1) | CN112036426B (https=) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11567914B2 (en) | 2018-09-14 | 2023-01-31 | Verint Americas Inc. | Framework and method for the automated determination of classes and anomaly detection methods for time series |
| WO2021026243A1 (en) * | 2019-08-06 | 2021-02-11 | Verint Americas Inc. | System and method of selecting human-in-the-loop time series anomaly detection methods |
| JP7318612B2 (ja) * | 2020-08-27 | 2023-08-01 | 横河電機株式会社 | 監視装置、監視方法、および監視プログラム |
| US11220999B1 (en) * | 2020-09-02 | 2022-01-11 | Palo Alto Research Center Incorporated | Deep hybrid convolutional neural network for fault diagnosis of wind turbine gearboxes |
| US11921488B2 (en) * | 2020-12-15 | 2024-03-05 | Xerox Corporation | System and method for machine-learning-enabled micro-object density distribution control with the aid of a digital computer |
| US11774956B2 (en) * | 2021-03-19 | 2023-10-03 | Hewlett Packard Enterprise Development Lp | Anomalous behavior detection by an artificial intelligence-enabled system with multiple correlated sensors |
| DE102021210107A1 (de) * | 2021-09-14 | 2023-03-16 | Zf Friedrichshafen Ag | Computerimplementierte Verfahren, Module und System zur Anomalieerkennung in industriellen Fertigungsprozessen |
| US20230085991A1 (en) * | 2021-09-19 | 2023-03-23 | SparkCognition, Inc. | Anomaly detection and filtering of time-series data |
| US11914506B2 (en) * | 2022-02-23 | 2024-02-27 | Optum, Inc. | Machine learning techniques for performing predictive anomaly detection |
| JP7805907B2 (ja) * | 2022-10-19 | 2026-01-26 | 株式会社東芝 | 異常予兆検知システム、異常予兆検知モデル生成方法および異常予兆検知モデル生成プログラム |
| US20240310822A1 (en) * | 2023-03-13 | 2024-09-19 | Saudi Arabian Oil Company | Integrated ai-enabled instrument preventative maintenance verification and healthiness validation tool |
| WO2025248633A1 (ja) * | 2024-05-28 | 2025-12-04 | Ntt株式会社 | 情報処理装置、情報処理方法、および情報処理プログラム |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080020878A1 (en) * | 2006-07-19 | 2008-01-24 | Carl Elden R | Chain roller and bracket assembly and methods thereof |
| US7747551B2 (en) * | 2007-02-21 | 2010-06-29 | Neurovista Corporation | Reduction of classification error rates and monitoring system using an artificial class |
| JP5108116B2 (ja) * | 2009-01-14 | 2012-12-26 | 株式会社日立製作所 | 装置異常監視方法及びシステム |
| US9652354B2 (en) * | 2014-03-18 | 2017-05-16 | Microsoft Technology Licensing, Llc. | Unsupervised anomaly detection for arbitrary time series |
| US10557719B2 (en) * | 2014-09-10 | 2020-02-11 | Siemens Energy, Inc. | Gas turbine sensor failure detection utilizing a sparse coding methodology |
| US10878385B2 (en) * | 2015-06-19 | 2020-12-29 | Uptake Technologies, Inc. | Computer system and method for distributing execution of a predictive model |
| US10303818B2 (en) * | 2015-12-07 | 2019-05-28 | Sas Institute Inc. | Enhancing processing speeds for generating a model on an electronic device |
| US20170284896A1 (en) * | 2016-03-31 | 2017-10-05 | General Electric Company | System and method for unsupervised anomaly detection on industrial time-series data |
| JP6661559B2 (ja) * | 2017-02-03 | 2020-03-11 | 株式会社東芝 | 異常検出装置、異常検出方法およびプログラム |
| CN109347834B (zh) * | 2018-10-24 | 2021-03-16 | 广东工业大学 | 物联网边缘计算环境中异常数据的检测方法、装置及设备 |
| CN109710636B (zh) * | 2018-11-13 | 2022-10-21 | 广东工业大学 | 一种基于深度迁移学习的无监督工业系统异常检测方法 |
| US11214268B2 (en) * | 2018-12-28 | 2022-01-04 | Intel Corporation | Methods and apparatus for unsupervised multimodal anomaly detection for autonomous vehicles |
| US11252169B2 (en) * | 2019-04-03 | 2022-02-15 | General Electric Company | Intelligent data augmentation for supervised anomaly detection associated with a cyber-physical system |
-
2019
- 2019-06-04 US US16/431,571 patent/US11448570B2/en active Active
-
2020
- 2020-05-08 JP JP2020082293A patent/JP7748798B2/ja active Active
- 2020-05-11 CN CN202010394917.XA patent/CN112036426B/zh active Active
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