KR20210091737A - 비정상 기계 성능의 자동화된 분석 - Google Patents
비정상 기계 성능의 자동화된 분석 Download PDFInfo
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- KR20210091737A KR20210091737A KR1020217017165A KR20217017165A KR20210091737A KR 20210091737 A KR20210091737 A KR 20210091737A KR 1020217017165 A KR1020217017165 A KR 1020217017165A KR 20217017165 A KR20217017165 A KR 20217017165A KR 20210091737 A KR20210091737 A KR 20210091737A
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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
- G05B23/0221—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
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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
- G05B23/0256—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 injecting test signals and analyzing monitored process response, e.g. injecting the test signal while interrupting the normal operation of the monitored system; superimposing the test signal onto a control signal during normal operation of the monitored system
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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
- G01M13/00—Testing of machine parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
-
- 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
- G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Program control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- 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
- G05B23/0243—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 model based detection method, e.g. first-principles knowledge model
- G05B23/0254—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 model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- 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
- G05B23/0281—Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
-
- 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
- G05B23/0286—Modifications to the monitored process, e.g. stopping operation or adapting control
-
- 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
- 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]
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Algebra (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Probability & Statistics with Applications (AREA)
- Pure & Applied Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862758054P | 2018-11-09 | 2018-11-09 | |
| US62/758,054 | 2018-11-09 | ||
| PCT/IL2019/051217 WO2020095303A1 (en) | 2018-11-09 | 2019-11-07 | Automated analysis of non-stationary machine performance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20210091737A true KR20210091737A (ko) | 2021-07-22 |
Family
ID=70610693
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020217017165A Ceased KR20210091737A (ko) | 2018-11-09 | 2019-11-07 | 비정상 기계 성능의 자동화된 분석 |
Country Status (7)
| Country | Link |
|---|---|
| US (3) | US11556121B2 (https=) |
| EP (1) | EP3877819B1 (https=) |
| JP (1) | JP7408653B2 (https=) |
| KR (1) | KR20210091737A (https=) |
| CN (2) | CN113287072B (https=) |
| AU (1) | AU2019375200B2 (https=) |
| WO (1) | WO2020095303A1 (https=) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118502330A (zh) * | 2024-07-18 | 2024-08-16 | 青岛智和精密科技有限公司 | 用于摇摆环境下的力矩电机旋转定位控制方法 |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| US11544557B2 (en) * | 2019-11-04 | 2023-01-03 | Cisco Technology, Inc. | IoT-based network architecture for detecting faults using vibration measurement data |
| CN115038937B (zh) | 2019-12-03 | 2024-07-12 | 流体处理有限责任公司 | 运行状况监测系统 |
| WO2021134253A1 (zh) * | 2019-12-30 | 2021-07-08 | 江苏南高智能装备创新中心有限公司 | 基于数控机床上传感器数据的故障预测系统及其方法 |
| JP7442390B2 (ja) * | 2020-06-01 | 2024-03-04 | 株式会社日立ビルシステム | 軸受検査装置及び軸受検査方法 |
| CN111678699B (zh) * | 2020-06-18 | 2021-06-04 | 山东大学 | 一种面向滚动轴承早期故障监测与诊断方法及系统 |
| CN112284735B (zh) * | 2020-10-21 | 2022-07-15 | 兰州理工大学 | 基于一维卷积与动态路由的多传感器滚动轴承故障诊断 |
| CN112488238B (zh) * | 2020-12-14 | 2022-11-15 | 桂林电子科技大学 | 一种基于对抗自编码器的混合异常检测方法 |
| US12459120B2 (en) * | 2020-12-31 | 2025-11-04 | Robert Bosch Gmbh | Dynamic spatiotemporal beamforming self-diagonostic system |
| JP7446249B2 (ja) * | 2021-02-01 | 2024-03-08 | 株式会社日立製作所 | 電磁機器の監視診断装置 |
| CN114444588B (zh) * | 2022-01-19 | 2024-09-17 | 天津大学 | 基于时变特征构图的燃气轮机上多种测点时序预测方法 |
| EP4277116A1 (en) * | 2022-05-13 | 2023-11-15 | Siemens Aktiengesellschaft | Methods and systems for monitoring of an electrical machine |
| EP4471400A1 (de) | 2023-05-31 | 2024-12-04 | Siemens Aktiengesellschaft | Modell eines softsensors zum messen eines mechanischen schadens und ein softsensor |
| WO2025097417A1 (zh) * | 2023-11-10 | 2025-05-15 | 浙江大学 | 基于子信号联合加权包络抗噪相关的齿轮故障诊断方法 |
| SE2430498A1 (en) * | 2024-06-28 | 2025-12-29 | Revibe Energy Ab | Multi-node system for synchronized data collection |
| CN120328286B (zh) * | 2025-04-11 | 2025-11-07 | 波士顿电梯(湖州)有限公司 | 基于多源数据融合的电梯运行状态监测预警方法及平台 |
Family Cites Families (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6199018B1 (en) * | 1998-03-04 | 2001-03-06 | Emerson Electric Co. | Distributed diagnostic system |
| US7308322B1 (en) | 1998-09-29 | 2007-12-11 | Rockwell Automation Technologies, Inc. | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
| US7539549B1 (en) * | 1999-09-28 | 2009-05-26 | Rockwell Automation Technologies, Inc. | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
| JP3476702B2 (ja) | 1999-02-24 | 2003-12-10 | 新キャタピラー三菱株式会社 | ポンプ故障診断装置 |
| US6539343B2 (en) * | 2000-02-03 | 2003-03-25 | Xerox Corporation | Methods for condition monitoring and system-level diagnosis of electro-mechanical systems with multiple actuating components operating in multiple regimes |
| US6366862B1 (en) * | 2000-04-19 | 2002-04-02 | National Instruments Corporation | System and method for analyzing signals generated by rotating machines |
| US7027953B2 (en) * | 2002-12-30 | 2006-04-11 | Rsl Electronics Ltd. | Method and system for diagnostics and prognostics of a mechanical system |
| JP4635194B2 (ja) * | 2004-12-02 | 2011-02-16 | 財団法人石油産業活性化センター | 異常検知装置 |
| US8295611B2 (en) * | 2009-08-10 | 2012-10-23 | Pixel Forensics, Inc. | Robust video retrieval utilizing audio and video data |
| CN101937207B (zh) * | 2010-08-27 | 2012-09-05 | 上海交通大学 | 机械设备状态的智能可视化监测与诊断方法 |
| JP5259797B2 (ja) | 2011-09-05 | 2013-08-07 | 株式会社東芝 | 学習型プロセス異常診断装置、およびオペレータ判断推測結果収集装置 |
| CN102335872B (zh) * | 2011-09-14 | 2013-04-03 | 桂林电子科技大学 | 基于人工神经网络的磨床砂轮自动修整方法和修整装置 |
| CN103557884B (zh) * | 2013-09-27 | 2016-06-29 | 杭州银江智慧城市技术集团有限公司 | 一种输电线路杆塔监控的多传感器数据融合预警方法 |
| US9518839B2 (en) * | 2013-11-26 | 2016-12-13 | Northrop Grumman Systems Corporation | Wavelet based monitoring of system parameters |
| US10552762B2 (en) | 2015-07-16 | 2020-02-04 | Falkonry Inc. | Machine learning of physical conditions based on abstract relations and sparse labels |
| CN105426822B (zh) * | 2015-11-05 | 2018-09-04 | 郑州轻工业学院 | 基于双树复小波变换的非平稳信号多重分形特征提取方法 |
| US10410113B2 (en) | 2016-01-14 | 2019-09-10 | Preferred Networks, Inc. | Time series data adaptation and sensor fusion systems, methods, and apparatus |
| US10387769B2 (en) | 2016-06-30 | 2019-08-20 | Samsung Electronics Co., Ltd. | Hybrid memory cell unit and recurrent neural network including hybrid memory cell units |
| JP2018156151A (ja) | 2017-03-15 | 2018-10-04 | ファナック株式会社 | 異常検知装置及び機械学習装置 |
| EP3615899B1 (en) | 2017-04-26 | 2024-10-09 | Augury Systems Ltd. | Systems and methods for monitoring of mechanical and electrical machines |
| 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 |
-
2019
- 2019-11-07 CN CN201980088345.8A patent/CN113287072B/zh active Active
- 2019-11-07 EP EP19881982.3A patent/EP3877819B1/en active Active
- 2019-11-07 AU AU2019375200A patent/AU2019375200B2/en active Active
- 2019-11-07 WO PCT/IL2019/051217 patent/WO2020095303A1/en not_active Ceased
- 2019-11-07 CN CN202410971625.6A patent/CN118938850A/zh active Pending
- 2019-11-07 US US17/291,849 patent/US11556121B2/en active Active
- 2019-11-07 KR KR1020217017165A patent/KR20210091737A/ko not_active Ceased
- 2019-11-07 JP JP2021525314A patent/JP7408653B2/ja active Active
-
2022
- 2022-12-09 US US18/078,320 patent/US11934184B2/en active Active
-
2024
- 2024-02-08 US US18/436,253 patent/US12607995B2/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118502330A (zh) * | 2024-07-18 | 2024-08-16 | 青岛智和精密科技有限公司 | 用于摇摆环境下的力矩电机旋转定位控制方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| AU2019375200B2 (en) | 2024-10-03 |
| US12607995B2 (en) | 2026-04-21 |
| EP3877819C0 (en) | 2026-01-28 |
| US11556121B2 (en) | 2023-01-17 |
| CN113287072A (zh) | 2021-08-20 |
| JP2022507110A (ja) | 2022-01-18 |
| EP3877819B1 (en) | 2026-01-28 |
| AU2019375200A1 (en) | 2021-06-17 |
| US20230114296A1 (en) | 2023-04-13 |
| US20240255942A1 (en) | 2024-08-01 |
| JP7408653B2 (ja) | 2024-01-05 |
| CN118938850A (zh) | 2024-11-12 |
| CN113287072B (zh) | 2024-08-09 |
| WO2020095303A1 (en) | 2020-05-14 |
| EP3877819A4 (en) | 2022-08-10 |
| US20220011763A1 (en) | 2022-01-13 |
| US11934184B2 (en) | 2024-03-19 |
| EP3877819A1 (en) | 2021-09-15 |
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