JP6732005B2 - 抽象的な関係及びスパースラベルに基づく物理的状況の機械学習 - Google Patents

抽象的な関係及びスパースラベルに基づく物理的状況の機械学習 Download PDF

Info

Publication number
JP6732005B2
JP6732005B2 JP2018501995A JP2018501995A JP6732005B2 JP 6732005 B2 JP6732005 B2 JP 6732005B2 JP 2018501995 A JP2018501995 A JP 2018501995A JP 2018501995 A JP2018501995 A JP 2018501995A JP 6732005 B2 JP6732005 B2 JP 6732005B2
Authority
JP
Japan
Prior art keywords
signal data
feature vectors
classification
processors
clusters
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2018501995A
Other languages
English (en)
Japanese (ja)
Other versions
JP2018533096A (ja
JP2018533096A5 (enExample
Inventor
エイチ フィルーズ，モハンマド
エイチ フィルーズ，モハンマド
アール メータ，ニクンジ
アール メータ，ニクンジ
オルセン，グレッグ
ニコラス プリチャード，ピーター
ニコラス プリチャード，ピーター
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.)
Falkonry Inc
Original Assignee
Falkonry Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Falkonry Inc filed Critical Falkonry Inc
Publication of JP2018533096A publication Critical patent/JP2018533096A/ja
Publication of JP2018533096A5 publication Critical patent/JP2018533096A5/ja
Application granted granted Critical
Publication of JP6732005B2 publication Critical patent/JP6732005B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • 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
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/0255—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system the criterion being a time-optimal performance criterion
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor
    • 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
    • G05B23/0259—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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Testing And Monitoring For Control Systems (AREA)
JP2018501995A 2015-07-16 2016-07-15 抽象的な関係及びスパースラベルに基づく物理的状況の機械学習 Active JP6732005B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201562193449P 2015-07-16 2015-07-16
US62/193,449 2015-07-16
US15/195,873 US10552762B2 (en) 2015-07-16 2016-06-28 Machine learning of physical conditions based on abstract relations and sparse labels
US15/195,873 2016-06-28
PCT/US2016/042465 WO2017011734A1 (en) 2015-07-16 2016-07-15 Machine learning of physical conditions based on abstract relations and sparse labels

Publications (3)

Publication Number Publication Date
JP2018533096A JP2018533096A (ja) 2018-11-08
JP2018533096A5 JP2018533096A5 (enExample) 2019-08-29
JP6732005B2 true JP6732005B2 (ja) 2020-07-29

Family

ID=57758163

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2018501995A Active JP6732005B2 (ja) 2015-07-16 2016-07-15 抽象的な関係及びスパースラベルに基づく物理的状況の機械学習

Country Status (5)

Country Link
US (1) US10552762B2 (enExample)
EP (1) EP3323052A4 (enExample)
JP (1) JP6732005B2 (enExample)
CA (1) CA2992297C (enExample)
WO (1) WO2017011734A1 (enExample)

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10296430B2 (en) * 2016-04-06 2019-05-21 Nec Corporation Mobile phone with system failure prediction using long short-term memory neural networks
US11138514B2 (en) 2017-03-23 2021-10-05 Futurewei Technologies, Inc. Review machine learning system
EP3619649A4 (en) * 2017-05-05 2021-03-17 Arimo, LLC ANALYSIS OF SEQUENCE DATA USING NEURAL NETWORKS
US10474667B2 (en) * 2017-07-29 2019-11-12 Vmware, Inc Methods and systems to detect and correct outliers in a dataset stored in a data-storage device
JP6648078B2 (ja) * 2017-08-03 2020-02-14 株式会社ｔｏｏｒ 状態判定装置、状態判定方法及び状態判定プログラム
JP6826021B2 (ja) * 2017-11-20 2021-02-03 株式会社日立製作所 ストレージシステム
US11074272B1 (en) 2017-12-21 2021-07-27 Seeq Corporation System and method for managing streaming calculations
RO133453A2 (ro) * 2017-12-28 2019-06-28 Siemens Aktiengesellschaft Motor de procesare a semnalelor şi evenimentelor
JP6871877B2 (ja) * 2018-01-04 2021-05-19 株式会社東芝 情報処理装置、情報処理方法及びコンピュータプログラム
US11972178B2 (en) * 2018-02-27 2024-04-30 Falkonry Inc. System and method for explanation of condition predictions in complex systems
JP7081953B2 (ja) * 2018-03-28 2022-06-07 株式会社日立システムズ アラート通知装置およびアラート通知方法
US10635984B2 (en) * 2018-07-23 2020-04-28 Falkonry Inc. System and method for the assessment of condition in complex operational systems based on multi-level pattern recognition
WO2020026332A1 (ja) * 2018-07-31 2020-02-06 三菱電機株式会社 情報処理装置、プログラム及び情報処理方法
CN113287072B (zh) * 2018-11-09 2024-08-09 奥格瑞系统有限公司 非平稳机器性能的自动分析
KR20210100699A (ko) * 2018-12-12 2021-08-17 제네럴 일렉트릭 컴퍼니 하이브리드 발전소
CN109974835B (zh) 2018-12-29 2021-06-04 无锡联河光子技术有限公司 一种基于光纤信号特征的振动检测识别和时空定位方法和系统
US11821973B2 (en) * 2019-05-22 2023-11-21 Raytheon Company Towed array superposition tracker
JP6641056B1 (ja) * 2019-07-16 2020-02-05 株式会社東芝 機器の異常診断方法および機器の異常診断システム
CN110795703B (zh) * 2019-09-20 2024-04-16 华为技术有限公司 数据防窃取方法和相关产品
JP7003334B2 (ja) * 2019-09-30 2022-01-20 三菱電機株式会社 情報処理装置、プログラム及び情報処理方法
JPWO2021079472A1 (enExample) * 2019-10-24 2021-04-29
US12093901B2 (en) * 2020-08-25 2024-09-17 ANI Technologies Private Limited Predictive maintenance of vehicle components
JP7017654B2 (ja) * 2021-01-14 2022-02-08 株式会社日立製作所 ストレージシステム
US11809375B2 (en) 2021-07-06 2023-11-07 International Business Machines Corporation Multi-dimensional data labeling
US20230206058A1 (en) * 2021-12-29 2023-06-29 Fidelity Information Services, Llc Processing sequences of multi-modal entity features using convolutional neural networks
US20240187319A1 (en) * 2022-12-01 2024-06-06 Liveperson, Inc. Methods and systems for implementing dynamic-action systems in real-time data streams

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7373283B2 (en) 2001-02-22 2008-05-13 Smartsignal Corporation Monitoring and fault detection system and method using improved empirical model for range extrema
US20020183971A1 (en) 2001-04-10 2002-12-05 Wegerich Stephan W. Diagnostic systems and methods for predictive condition monitoring
US7451003B2 (en) 2004-03-04 2008-11-11 Falconeer Technologies Llc Method and system of monitoring, sensor validation and predictive fault analysis
US8386401B2 (en) * 2008-09-10 2013-02-26 Digital Infuzion, Inc. Machine learning methods and systems for identifying patterns in data using a plurality of learning machines wherein the learning machine that optimizes a performance function is selected
US8620853B2 (en) 2011-07-19 2013-12-31 Smartsignal Corporation Monitoring method using kernel regression modeling with pattern sequences
EP2555019B1 (de) * 2011-08-05 2015-08-05 Sick Ag Induktiver Näherungssensor
US8886574B2 (en) 2012-06-12 2014-11-11 Siemens Aktiengesellschaft Generalized pattern recognition for fault diagnosis in machine condition monitoring
US20150095247A1 (en) * 2013-10-02 2015-04-02 Eventbrite, Inc. Classifying Fraud on Event Management Systems
GB201320216D0 (en) * 2013-11-15 2014-01-01 Microsoft Corp Predicting call quality
EP3120204A1 (en) * 2014-03-19 2017-01-25 Northern VO ApS Method and system for monitoring a vehicle
US20160352759A1 (en) * 2015-05-25 2016-12-01 Yan Zhai Utilizing Big Data Analytics to Optimize Information Security Monitoring And Controls

Also Published As

Publication number Publication date
JP2018533096A (ja) 2018-11-08
EP3323052A4 (en) 2018-10-10
CA2992297A1 (en) 2017-01-19
CA2992297C (en) 2021-06-29
WO2017011734A1 (en) 2017-01-19
US10552762B2 (en) 2020-02-04
US20170017901A1 (en) 2017-01-19
EP3323052A1 (en) 2018-05-23

Similar Documents

Publication Publication Date Title
JP6732005B2 (ja) 抽象的な関係及びスパースラベルに基づく物理的状況の機械学習
US11295238B2 (en) Data orchestration platform management
Angelopoulos et al. Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
US11409962B2 (en) System and method for automated insight curation and alerting
US20210142143A1 (en) Artificial intelligence systems and methods
Alongi et al. Tiny neural networks for environmental predictions: An integrated approach with miosix
US20200210881A1 (en) Cross-domain featuring engineering
CN113158664B (zh) 用于神经语言行为识别系统的词法分析器
WO2017034512A1 (en) Interactive analytics on time series
EP4500386A1 (en) Recommendation for operations and asset failure prevention background
WO2021069073A1 (en) Event detection in a data stream
WO2025171281A1 (en) Detection of electronic device presence using emitted wi-fi signals
EP4031838A1 (en) Runtime assessment of sensors
WO2024043888A1 (en) Real time detection, prediction and remediation of machine learning model drift in asset hierarchy based on time-series data
WO2025042753A1 (en) Time-series data forecasting via multi-modal augmentation and fusion
US20230206111A1 (en) Compound model for event-based prognostics
Dhinakaran et al. Intelligent IoT-Driven Advanced Predictive Maintenance System for Industrial Applications
JP7654086B2 (ja) 降雨林における違法伐採のためのセンサ融合を伴う動的音響シグネチャシステム
WO2019168625A1 (en) System and method for explanation of condition predictions in complex systems
Le et al. An Internet of Things-Integrated Deep Learning Model for Fault Diagnosis in Industrial Rotating Machines
US11610140B2 (en) Predicting fatigue of an asset that heals
Priyadarshini An Explainable Autoencoder-Based Feature Extraction Combined with CNN-LSTM-PSO Model for Improved Predictive Maintenance.
Mascolini et al. VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
Dalmia et al. Anomalous Sound Pattern Detection for Machine Health Monitoring
Abdulkareem Predictive Maintenance in Industrial Equipment Using IoT Devices

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20190716

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20190716

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20200610

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20200707

R150 Certificate of patent or registration of utility model

Ref document number: 6732005

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250