CN114600087A - 异常设备迹线检测和分类 - Google Patents
异常设备迹线检测和分类 Download PDFInfo
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- CN114600087A CN114600087A CN202080075571.5A CN202080075571A CN114600087A CN 114600087 A CN114600087 A CN 114600087A CN 202080075571 A CN202080075571 A CN 202080075571A CN 114600087 A CN114600087 A CN 114600087A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0736—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
- G06F11/0778—Dumping, i.e. gathering error/state information after a fault for later diagnosis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/40—Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
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- 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
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
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- 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
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/091—Active learning
-
- H—ELECTRICITY
- H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
- H10P—GENERIC PROCESSES OR APPARATUS FOR THE MANUFACTURE OR TREATMENT OF DEVICES COVERED BY CLASS H10
- H10P95/00—Generic processes or apparatus for manufacture or treatments not covered by the other groups of this subclass
-
- 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]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0482—Interaction with lists of selectable items, e.g. menus
-
- 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
- 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)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Human Computer Interaction (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Debugging And Monitoring (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962911346P | 2019-10-06 | 2019-10-06 | |
| US62/911,346 | 2019-10-06 | ||
| PCT/US2020/054431 WO2021071854A1 (en) | 2019-10-06 | 2020-10-06 | Anomalous equipment trace detection and classification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114600087A true CN114600087A (zh) | 2022-06-07 |
Family
ID=75274106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080075571.5A Pending CN114600087A (zh) | 2019-10-06 | 2020-10-06 | 异常设备迹线检测和分类 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11609812B2 (enExample) |
| JP (1) | JP7470784B2 (enExample) |
| KR (1) | KR102627062B1 (enExample) |
| CN (1) | CN114600087A (enExample) |
| TW (1) | TWI841793B (enExample) |
| WO (1) | WO2021071854A1 (enExample) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11176019B2 (en) * | 2020-04-01 | 2021-11-16 | International Business Machines Corporation | Automated breakpoint creation |
| AU2022256363A1 (en) * | 2021-04-14 | 2023-11-02 | Amgen Inc. | Automated outlier removal for multivariate modeling |
| CN113516174B (zh) * | 2021-06-03 | 2022-04-19 | 清华大学 | 调用链异常检测方法、计算机设备以及可读存储介质 |
| CN113807441B (zh) * | 2021-09-17 | 2023-10-27 | 长鑫存储技术有限公司 | 半导体结构制备中的异常传感器监测方法及其装置 |
| CN114519225B (zh) * | 2022-01-20 | 2024-08-30 | 南水北调中线干线工程建设管理局 | 一种鲁棒的暗渠结构应力异常识别方法及系统 |
| US11961030B2 (en) | 2022-01-27 | 2024-04-16 | Applied Materials, Inc. | Diagnostic tool to tool matching methods for manufacturing equipment |
| US12189380B2 (en) | 2022-01-27 | 2025-01-07 | Applied Materials, Inc. | Diagnostic tool to tool matching and comparative drill-down analysis methods for manufacturing equipment |
| US12298748B2 (en) | 2022-01-27 | 2025-05-13 | Applied Materials, Inc. | Diagnostic tool to tool matching and full-trace drill-down analysis methods for manufacturing equipment |
| KR102705022B1 (ko) * | 2022-11-28 | 2024-09-09 | (주)위세아이텍 | 빅데이터 플랫폼의 지속학습을 이용한 유지보수 장치 및 방법 |
| KR102723094B1 (ko) * | 2023-05-11 | 2024-10-31 | (주)빅아이 | 제품 검사장치 |
| US12462369B2 (en) * | 2023-08-16 | 2025-11-04 | Applied Materials, Inc. | Method for image-based sensor trace analysis |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060282708A1 (en) * | 2005-06-10 | 2006-12-14 | Nec Laboratories America, Inc. | System and method for detecting faults in a system |
| 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 |
| US20170109646A1 (en) * | 2014-11-25 | 2017-04-20 | Stream Mosaic, Inc. | Process control techniques for semiconductor manufacturing processes |
| CN107440679A (zh) * | 2016-05-31 | 2017-12-08 | 意法半导体股份有限公司 | 用于检测心电图异常的方法及对应系统 |
| US20180032905A1 (en) * | 2016-07-29 | 2018-02-01 | Appdynamics Llc | Adaptive Anomaly Grouping |
| US20190146032A1 (en) * | 2017-09-21 | 2019-05-16 | Pdf Solutions, Inc. | Failure detection for wire bonding in semiconductors |
| WO2019145018A1 (en) * | 2018-01-23 | 2019-08-01 | Siemens Aktiengesellschaft | System, device and method for detecting abnormal traffic events in a geographical location |
| US20190277913A1 (en) * | 2018-03-09 | 2019-09-12 | Streammosaic, Inc. | Failure detection and classsification using sensor data and/or measurement data |
| US20190294538A1 (en) * | 2018-03-21 | 2019-09-26 | Sap Se | Adaptive monitoring of applications |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4723466B2 (ja) * | 2006-12-19 | 2011-07-13 | 三菱電機株式会社 | データ処理装置及びデータ処理方法及びプログラム |
| JP5119022B2 (ja) * | 2008-03-26 | 2013-01-16 | 東京瓦斯株式会社 | 可変的予測モデル構築方法、及び、可変的予測モデル構築システム |
| US9880842B2 (en) * | 2013-03-15 | 2018-01-30 | Intel Corporation | Using control flow data structures to direct and track instruction execution |
| US11580375B2 (en) * | 2015-12-31 | 2023-02-14 | Kla-Tencor Corp. | Accelerated training of a machine learning based model for semiconductor applications |
| US11023577B2 (en) * | 2016-08-04 | 2021-06-01 | Adobe Inc. | Anomaly detection for time series data having arbitrary seasonality |
| KR102408426B1 (ko) * | 2016-10-12 | 2022-06-10 | 삼성에스디에스 주식회사 | 설비 노화 지수를 이용한 이상 감지 방법 및 장치 |
| KR101970619B1 (ko) * | 2017-06-28 | 2019-04-22 | 한국과학기술연구원 | 비정상 상황 검출 방법 및 이를 수행하기 위한 시스템 |
| KR20190040825A (ko) * | 2017-10-11 | 2019-04-19 | 주식회사 씨세론 | 데이터 처리 방법 및 장치 |
| CN108829933B (zh) * | 2018-05-22 | 2023-04-07 | 北京天泽智云科技有限公司 | 一种半导体制造设备的预测性维护与健康管理的方法 |
| US11232368B2 (en) * | 2019-02-20 | 2022-01-25 | Accenture Global Solutions Limited | System for predicting equipment failure events and optimizing manufacturing operations |
-
2020
- 2020-10-06 TW TW109134582A patent/TWI841793B/zh active
- 2020-10-06 CN CN202080075571.5A patent/CN114600087A/zh active Pending
- 2020-10-06 US US17/064,422 patent/US11609812B2/en active Active
- 2020-10-06 WO PCT/US2020/054431 patent/WO2021071854A1/en not_active Ceased
- 2020-10-06 JP JP2022520973A patent/JP7470784B2/ja active Active
- 2020-10-06 KR KR1020227014543A patent/KR102627062B1/ko active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060282708A1 (en) * | 2005-06-10 | 2006-12-14 | Nec Laboratories America, Inc. | System and method for detecting faults in a system |
| 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 |
| US20170109646A1 (en) * | 2014-11-25 | 2017-04-20 | Stream Mosaic, Inc. | Process control techniques for semiconductor manufacturing processes |
| CN107440679A (zh) * | 2016-05-31 | 2017-12-08 | 意法半导体股份有限公司 | 用于检测心电图异常的方法及对应系统 |
| US20180032905A1 (en) * | 2016-07-29 | 2018-02-01 | Appdynamics Llc | Adaptive Anomaly Grouping |
| US20190146032A1 (en) * | 2017-09-21 | 2019-05-16 | Pdf Solutions, Inc. | Failure detection for wire bonding in semiconductors |
| WO2019145018A1 (en) * | 2018-01-23 | 2019-08-01 | Siemens Aktiengesellschaft | System, device and method for detecting abnormal traffic events in a geographical location |
| US20190277913A1 (en) * | 2018-03-09 | 2019-09-12 | Streammosaic, Inc. | Failure detection and classsification using sensor data and/or measurement data |
| US20190294538A1 (en) * | 2018-03-21 | 2019-09-26 | Sap Se | Adaptive monitoring of applications |
Also Published As
| Publication number | Publication date |
|---|---|
| KR102627062B1 (ko) | 2024-01-18 |
| KR20220070302A (ko) | 2022-05-30 |
| TW202139033A (zh) | 2021-10-16 |
| US11609812B2 (en) | 2023-03-21 |
| JP7470784B2 (ja) | 2024-04-18 |
| WO2021071854A1 (en) | 2021-04-15 |
| US20210103489A1 (en) | 2021-04-08 |
| TWI841793B (zh) | 2024-05-11 |
| JP2023501062A (ja) | 2023-01-18 |
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Effective date of abandoning: 20260116 |