JP6837848B2 - 診断装置 - Google Patents

診断装置 Download PDF

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Publication number
JP6837848B2
JP6837848B2 JP2017013485A JP2017013485A JP6837848B2 JP 6837848 B2 JP6837848 B2 JP 6837848B2 JP 2017013485 A JP2017013485 A JP 2017013485A JP 2017013485 A JP2017013485 A JP 2017013485A JP 6837848 B2 JP6837848 B2 JP 6837848B2
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model
diagnostic
update
diagnosis
unit
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JP2018119924A (ja
JP2018119924A5 (enExample
Inventor
上野　浩
浩 上野
知治 安藤
知治 安藤
孝志 則久
孝志 則久
匠 北郷
匠 北郷
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Okuma Corp
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Okuma Corp
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Priority to JP2017013485A priority Critical patent/JP6837848B2/ja
Priority to US15/848,335 priority patent/US11195081B2/en
Priority to CN201810030719.8A priority patent/CN108363952A/zh
Priority to DE102018200887.6A priority patent/DE102018200887A1/de
Publication of JP2018119924A publication Critical patent/JP2018119924A/ja
Publication of JP2018119924A5 publication Critical patent/JP2018119924A5/ja
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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
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/043—Architecture, e.g. interconnection topology based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • 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
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Fuzzy Systems (AREA)
  • Computational Mathematics (AREA)
  • Signal Processing (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
JP2017013485A 2017-01-27 2017-01-27 診断装置 Active JP6837848B2 (ja)

Priority Applications (4)

Application Number Priority Date Filing Date Title
JP2017013485A JP6837848B2 (ja) 2017-01-27 2017-01-27 診断装置
US15/848,335 US11195081B2 (en) 2017-01-27 2017-12-20 Diagnostic device using both a physical model and mathematical model for anomaly detection
CN201810030719.8A CN108363952A (zh) 2017-01-27 2018-01-12 诊断装置
DE102018200887.6A DE102018200887A1 (de) 2017-01-27 2018-01-19 Diagnosevorrichtung

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2017013485A JP6837848B2 (ja) 2017-01-27 2017-01-27 診断装置

Publications (3)

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JP2018119924A JP2018119924A (ja) 2018-08-02
JP2018119924A5 JP2018119924A5 (enExample) 2019-11-07
JP6837848B2 true JP6837848B2 (ja) 2021-03-03

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JP2017013485A Active JP6837848B2 (ja) 2017-01-27 2017-01-27 診断装置

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US (1) US11195081B2 (enExample)
JP (1) JP6837848B2 (enExample)
CN (1) CN108363952A (enExample)
DE (1) DE102018200887A1 (enExample)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7021053B2 (ja) 2018-11-07 2022-02-16 株式会社東芝 監視システム、プログラム、及び記憶媒体
JP7260292B2 (ja) * 2018-12-04 2023-04-18 日立グローバルライフソリューションズ株式会社 異常診断装置及び異常診断方法
JP7309366B2 (ja) 2019-01-15 2023-07-18 株式会社東芝 監視システム、監視方法およびプログラム
JP7216566B2 (ja) * 2019-02-19 2023-02-01 日立造船株式会社 情報処理装置、情報処理方法、および情報処理プログラム
EP3734384B1 (de) * 2019-05-02 2023-12-20 ETM professional control GmbH Verfahren und vorrichtung zur überwachung des betriebszustands einer anlage
KR102200408B1 (ko) * 2019-05-20 2021-01-08 두산중공업 주식회사 자가 학습 모델을 이용한 석탄 가스화플랜트의 운전 이상 예지를 위한 장치 및 이를 위한 방법
EP3742244A1 (en) * 2019-05-21 2020-11-25 GF Machining Solutions AG A method for predicting chatter of a machine tool
JP7187397B2 (ja) * 2019-07-18 2022-12-12 オークマ株式会社 工作機械における診断モデルの再学習要否判定方法及び再学習要否判定装置、再学習要否判定プログラム
US20220307939A1 (en) * 2019-07-19 2022-09-29 Agc Glass Europe Glazing sensor
JP7303436B2 (ja) * 2019-08-30 2023-07-05 シンフォニアテクノロジー株式会社 異常検知装置及び機械学習用入力データの作成方法
CN114616441A (zh) * 2019-10-18 2022-06-10 旭硝子欧洲玻璃公司 用于评估汽车嵌装玻璃上的外部事件的方法
JP7363407B2 (ja) 2019-11-21 2023-10-18 オムロン株式会社 追加学習装置、方法、及びプログラム
JP7412158B2 (ja) * 2019-12-18 2024-01-12 オークマ株式会社 工作機械の送り軸診断装置及び送り軸診断方法
WO2021157676A1 (ja) * 2020-02-07 2021-08-12 ファナック株式会社 診断装置
JP7594369B2 (ja) * 2020-05-21 2024-12-04 東芝ライフスタイル株式会社 情報処理システム
JP7642356B2 (ja) * 2020-12-15 2025-03-10 オークマ株式会社 工作機械の加工異常診断装置及び加工異常診断方法
JP7244120B2 (ja) * 2021-02-25 2023-03-22 株式会社ミヤワキ 測定データ送信システム及びサーバ

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3340541B2 (ja) 1993-12-17 2002-11-05 株式会社小野測器 検査装置
JPH08202444A (ja) * 1995-01-25 1996-08-09 Hitachi Ltd 機械設備の異常診断方法および装置
WO2002003152A2 (en) * 2000-06-29 2002-01-10 Aspen Technology, Inc. Computer method and apparatus for constraining a non-linear approximator of an empirical process
JP2005121639A (ja) * 2003-09-22 2005-05-12 Omron Corp 検査方法および検査装置ならびに設備診断装置
US8065022B2 (en) * 2005-09-06 2011-11-22 General Electric Company Methods and systems for neural network modeling of turbine components
JP2009053938A (ja) * 2007-08-27 2009-03-12 Toshiba Corp 複数モデルに基づく設備診断システム及びその設備診断方法
CN101634605B (zh) * 2009-04-10 2011-03-30 北京工业大学 基于混合推理和神经网络的齿轮箱故障智能诊断方法
JP2011253275A (ja) * 2010-06-01 2011-12-15 Yokogawa Electric Corp プラントシミュレータ
CN102054179A (zh) * 2010-12-14 2011-05-11 广州大学 一种旋转机械在线状态监测与故障诊断装置及方法
US9366451B2 (en) * 2010-12-24 2016-06-14 Commonwealth Scientific And Industrial Research Organisation System and method for the detection of faults in a multi-variable system utilizing both a model for normal operation and a model for faulty operation
JP5538597B2 (ja) * 2013-06-19 2014-07-02 株式会社日立製作所 異常検知方法及び異常検知システム
US11334831B2 (en) * 2014-05-21 2022-05-17 X-Act Science, Inc. Predictive risk assessment in system modeling
US10031510B2 (en) * 2015-05-01 2018-07-24 Aspen Technology, Inc. Computer system and method for causality analysis using hybrid first-principles and inferential model
US11327475B2 (en) * 2016-05-09 2022-05-10 Strong Force Iot Portfolio 2016, Llc Methods and systems for intelligent collection and analysis of vehicle data

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Publication number Publication date
US20180218255A1 (en) 2018-08-02
US11195081B2 (en) 2021-12-07
CN108363952A (zh) 2018-08-03
JP2018119924A (ja) 2018-08-02
DE102018200887A1 (de) 2018-08-02

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