CN112036426B - 利用高维传感器数据的多数表决进行无监督异常检测和责任的方法和系统 - Google Patents

利用高维传感器数据的多数表决进行无监督异常检测和责任的方法和系统 Download PDF

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CN112036426B
CN112036426B CN202010394917.XA CN202010394917A CN112036426B CN 112036426 B CN112036426 B CN 112036426B CN 202010394917 A CN202010394917 A CN 202010394917A CN 112036426 B CN112036426 B CN 112036426B
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feature
sensors
sensor
anomaly
sensor data
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CN112036426A (zh
Inventor
D·钟
F·程
A·拉加万
佐佐木幸泽
岭岸瞳
小掠哲義
多鹿阳介
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Panasonic Holdings Corp
Palo Alto Research Center Inc
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Palo Alto Research Center Inc
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    • 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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • 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
    • 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)
CN202010394917.XA 2019-06-04 2020-05-11 利用高维传感器数据的多数表决进行无监督异常检测和责任的方法和系统 Active CN112036426B (zh)

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
US16/431571 2019-06-04

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CN112036426A CN112036426A (zh) 2020-12-04
CN112036426B true CN112036426B (zh) 2024-05-17

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US (1) US11448570B2 (https=)
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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

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CN109347834A (zh) * 2018-10-24 2019-02-15 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
CN109710636A (zh) * 2018-11-13 2019-05-03 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

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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
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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
US11214268B2 (en) * 2018-12-28 2022-01-04 Intel Corporation Methods and apparatus for unsupervised multimodal anomaly detection for autonomous vehicles
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CN106104496A (zh) * 2014-03-18 2016-11-09 微软技术许可有限责任公司 用于任意时序的不受监督的异常检测
CN109347834A (zh) * 2018-10-24 2019-02-15 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
CN109710636A (zh) * 2018-11-13 2019-05-03 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

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JP2020198092A (ja) 2020-12-10
US20200386656A1 (en) 2020-12-10
CN112036426A (zh) 2020-12-04
JP7748798B2 (ja) 2025-10-03
US11448570B2 (en) 2022-09-20

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