JP7748798B2 - 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 - Google Patents

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

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Publication number
JP7748798B2
JP7748798B2 JP2020082293A JP2020082293A JP7748798B2 JP 7748798 B2 JP7748798 B2 JP 7748798B2 JP 2020082293 A JP2020082293 A JP 2020082293A JP 2020082293 A JP2020082293 A JP 2020082293A JP 7748798 B2 JP7748798 B2 JP 7748798B2
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feature
data
sensor data
sensors
sensor
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Japanese (ja)
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JP2020198092A (ja
JP2020198092A5 (https=
Inventor
ドクウー・ジュン
ファンジョウ・チェン
アジャイ・ラガバン
幸紀 佐々木
瞳 嶺岸
哲義 小掠
陽介 多鹿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Panasonic Corp
Panasonic Holdings Corp
Original Assignee
Panasonic Corp
Matsushita Electric Industrial Co Ltd
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Publication of JP2020198092A5 publication Critical patent/JP2020198092A5/ja
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
    • 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
    • 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
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • 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
    • 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
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)
JP2020082293A 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 Active JP7748798B2 (ja)

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 JP2020198092A5 (https=) 2023-02-20
JP7748798B2 true JP7748798B2 (ja) 2025-10-03

Family

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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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Also Published As

Publication number Publication date
JP2020198092A (ja) 2020-12-10
CN112036426B (zh) 2024-05-17
US20200386656A1 (en) 2020-12-10
CN112036426A (zh) 2020-12-04
US11448570B2 (en) 2022-09-20

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