JP7353238B2 - 高次元センサデータにおける異常事象の自動化された根本原因分析を実行する方法及びシステム - Google Patents
高次元センサデータにおける異常事象の自動化された根本原因分析を実行する方法及びシステム Download PDFInfo
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- JP7353238B2 JP7353238B2 JP2020095164A JP2020095164A JP7353238B2 JP 7353238 B2 JP7353238 B2 JP 7353238B2 JP 2020095164 A JP2020095164 A JP 2020095164A JP 2020095164 A JP2020095164 A JP 2020095164A JP 7353238 B2 JP7353238 B2 JP 7353238B2
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/9024—Graphs; Linked lists
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- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0281—Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
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- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
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- G—PHYSICS
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- G16Y20/00—Information sensed or collected by the things
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- G—PHYSICS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
- H04L41/065—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis involving logical or physical relationship, e.g. grouping and hierarchies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Probability & Statistics with Applications (AREA)
- General Health & Medical Sciences (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Automation & Control Theory (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Biomedical Technology (AREA)
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/448,273 US11354184B2 (en) | 2019-06-21 | 2019-06-21 | Method and system for performing automated root cause analysis of anomaly events in high-dimensional sensor data |
| US16/448,273 | 2019-06-21 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2021002335A JP2021002335A (ja) | 2021-01-07 |
| JP2021002335A5 JP2021002335A5 (https=) | 2023-06-06 |
| JP7353238B2 true JP7353238B2 (ja) | 2023-09-29 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020095164A Active JP7353238B2 (ja) | 2019-06-21 | 2020-06-01 | 高次元センサデータにおける異常事象の自動化された根本原因分析を実行する方法及びシステム |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US11354184B2 (https=) |
| EP (1) | EP3754906B1 (https=) |
| JP (1) | JP7353238B2 (https=) |
| CN (1) | CN112115306B (https=) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US11729190B2 (en) * | 2019-10-29 | 2023-08-15 | General Electric Company | Virtual sensor supervised learning for cyber-attack neutralization |
| US11238129B2 (en) * | 2019-12-11 | 2022-02-01 | International Business Machines Corporation | Root cause analysis using Granger causality |
| EP3958185B1 (en) * | 2020-06-26 | 2025-06-18 | Tata Consultancy Services Limited | Neural networks for handling variable-dimensional time series data |
| US12118077B2 (en) * | 2021-01-21 | 2024-10-15 | Intuit Inc. | Feature extraction and time series anomaly detection over dynamic graphs |
| US20220405631A1 (en) * | 2021-06-22 | 2022-12-22 | International Business Machines Corporation | Data quality assessment for unsupervised machine learning |
| WO2023007578A1 (ja) * | 2021-07-27 | 2023-02-02 | 日本電信電話株式会社 | 情報処理装置、情報処理方法、およびプログラム |
| CN113724892B (zh) * | 2021-08-31 | 2024-06-21 | 深圳平安智慧医健科技有限公司 | 一种人口流动的分析方法、装置、电子设备及存储介质 |
| EP4231108B1 (en) * | 2022-02-18 | 2025-04-16 | Tata Consultancy Services Limited | Method and system for root cause identification of faults in manufacturing and process industries |
| CN114610707B (zh) * | 2022-03-24 | 2025-02-07 | 国网上海市电力公司 | 基于用户量化评价的电力采集系统缺失数据多重插补方法 |
| JP2023159775A (ja) * | 2022-04-20 | 2023-11-01 | マツダ株式会社 | グラフ構造化分析方法、グラフ構造化分析装置、グラフ構造化分析プログラム、および該グラフ構造化分析プログラムを記憶したコンピュータ読取可能な記憶媒体 |
| WO2024052924A1 (en) * | 2022-09-06 | 2024-03-14 | Telefonaktiebolaget Lm Ericsson (Publ) | Identification of root cause path with machine reasoning |
| KR102523458B1 (ko) * | 2022-09-27 | 2023-04-19 | 주식회사 에이아이비즈 | 공정 설비의 비정상 동작 감지 방법, 컴퓨팅 장치 및 컴퓨터 프로그램 |
| US12278747B1 (en) * | 2022-09-30 | 2025-04-15 | Amazon Technologies, Inc. | Systems and methods to analyze root cause anomaly |
| US12360878B1 (en) | 2022-09-30 | 2025-07-15 | Amazon Technologies, Inc. | Addressing root cause anomaly |
| WO2024134795A1 (ja) * | 2022-12-21 | 2024-06-27 | 日本電気株式会社 | 情報処理装置、分析支援方法、および分析支援プログラム |
| CN116610906B (zh) * | 2023-04-11 | 2024-05-14 | 深圳润世华软件和信息技术服务有限公司 | 设备故障诊断方法、装置、计算机设备及其存储介质 |
| CN117407662B (zh) * | 2023-12-15 | 2024-04-02 | 广州市齐明软件科技有限公司 | 一种传感器数据处理方法及系统 |
| WO2025187049A1 (ja) * | 2024-03-08 | 2025-09-12 | Ntt株式会社 | 生成装置および生成方法 |
| CN118395351B (zh) * | 2024-06-25 | 2024-09-03 | 深圳鼎智达表计信息科技有限公司 | 基于物联网的超声波水表模组计量数据处理方法及系统 |
| CN118963267B (zh) * | 2024-07-26 | 2025-01-28 | 东莞市尼嘉斯塑胶机械有限公司 | 一种基于工业物联网的高效供料生产远程监测方法及系统 |
| CN118733283B (zh) * | 2024-09-02 | 2024-11-08 | 南京先维信息技术有限公司 | 一种大数据系统数据采集任务智能优化方法及系统 |
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| US8156377B2 (en) * | 2010-07-02 | 2012-04-10 | Oracle International Corporation | Method and apparatus for determining ranked causal paths for faults in a complex multi-host system with probabilistic inference in a time series |
| IN2013CH03925A (https=) * | 2013-09-02 | 2015-09-11 | Appnomic Systems Private Ltd | |
| US20150127284A1 (en) * | 2013-11-03 | 2015-05-07 | Microsoft Corporation | Sensor Data Time Alignment |
| US9497071B2 (en) | 2014-04-01 | 2016-11-15 | Ca, Inc. | Multi-hop root cause analysis |
| CN104809205B (zh) * | 2015-04-27 | 2018-03-20 | 河海大学 | 一种在线河网时空异常事件检测方法 |
| US10289471B2 (en) * | 2016-02-08 | 2019-05-14 | Nec Corporation | Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations |
| US10438124B2 (en) | 2017-01-25 | 2019-10-08 | Centurylink Intellectual Property Llc | Machine discovery of aberrant operating states |
| US11044533B1 (en) * | 2017-06-02 | 2021-06-22 | Conviva Inc. | Automatic diagnostics alerts |
-
2019
- 2019-06-21 US US16/448,273 patent/US11354184B2/en active Active
-
2020
- 2020-05-22 CN CN202010445662.5A patent/CN112115306B/zh active Active
- 2020-06-01 JP JP2020095164A patent/JP7353238B2/ja active Active
- 2020-06-16 EP EP20180395.4A patent/EP3754906B1/en active Active
Non-Patent Citations (1)
| Title |
|---|
| Sarah Nadi,DRACA: Decision-support for Root Cause Analysis and Change Impact Analysis,UWSpace [online],2009年,https://uwspace.uwaterloo.ca/bitstream/handle/10012/4889/NADI_SARAH.pdf,[2023年8月15日検索] |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2021002335A (ja) | 2021-01-07 |
| CN112115306A (zh) | 2020-12-22 |
| US20200401470A1 (en) | 2020-12-24 |
| EP3754906B1 (en) | 2022-12-07 |
| US11354184B2 (en) | 2022-06-07 |
| EP3754906A1 (en) | 2020-12-23 |
| CN112115306B (zh) | 2023-04-07 |
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