CN111914887B - 一种新型多模态化工过程异常状态检测方法 - Google Patents
一种新型多模态化工过程异常状态检测方法 Download PDFInfo
- Publication number
- CN111914887B CN111914887B CN202010570613.4A CN202010570613A CN111914887B CN 111914887 B CN111914887 B CN 111914887B CN 202010570613 A CN202010570613 A CN 202010570613A CN 111914887 B CN111914887 B CN 111914887B
- Authority
- CN
- China
- Prior art keywords
- matrix
- abnormal state
- chemical process
- state detection
- mode
- 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
Links
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 72
- 238000001311 chemical methods and process Methods 0.000 title claims abstract description 47
- 238000001514 detection method Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 58
- 238000005070 sampling Methods 0.000 claims abstract description 34
- 230000008569 process Effects 0.000 claims abstract description 13
- 239000011159 matrix material Substances 0.000 claims description 58
- 239000013598 vector Substances 0.000 claims description 52
- 238000004519 manufacturing process Methods 0.000 claims description 43
- 238000000605 extraction Methods 0.000 claims description 11
- 238000010606 normalization Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000003756 stirring Methods 0.000 abstract description 2
- 239000000126 substance Substances 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 3
- 238000012824 chemical production Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 239000000498 cooling water Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000376 reactant Substances 0.000 description 1
- 238000010992 reflux Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2134—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Mathematical Physics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
Description
Claims (2)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010570613.4A CN111914887B (zh) | 2020-06-13 | 2020-06-13 | 一种新型多模态化工过程异常状态检测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010570613.4A CN111914887B (zh) | 2020-06-13 | 2020-06-13 | 一种新型多模态化工过程异常状态检测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111914887A CN111914887A (zh) | 2020-11-10 |
CN111914887B true CN111914887B (zh) | 2024-02-09 |
Family
ID=73226167
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010570613.4A Active CN111914887B (zh) | 2020-06-13 | 2020-06-13 | 一种新型多模态化工过程异常状态检测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111914887B (zh) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111913447B (zh) * | 2020-06-13 | 2022-03-18 | 宁波大学 | 一种在线数据驱动的非线性化工过程监测方法 |
CN113191615B (zh) * | 2021-04-18 | 2022-05-31 | 宁波大学科学技术学院 | 一种基于多块相关成分分析的聚丙烯生产过程异常检测方法 |
CN113190792B (zh) * | 2021-04-18 | 2023-10-24 | 宁波大学科学技术学院 | 一种基于近邻局部异常因子的乙烯裂解炉运行状态监测方法 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105955241A (zh) * | 2016-06-03 | 2016-09-21 | 北京科技大学 | 一种基于联合数据驱动生产过程的质量故障定位方法 |
CN109726771A (zh) * | 2019-02-27 | 2019-05-07 | 深圳市赛梅斯凯科技有限公司 | 异常驾驶检测模型建立方法、装置及存储介质 |
CN110879580A (zh) * | 2019-12-10 | 2020-03-13 | 浙江大学 | 一种面向大范围非平稳瞬变连续过程的分析和监测方法 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7962611B2 (en) * | 2008-03-27 | 2011-06-14 | International Business Machines Corporation | Methods, systems and computer program products for detecting flow-level network traffic anomalies via abstraction levels |
US20190219994A1 (en) * | 2018-01-18 | 2019-07-18 | General Electric Company | Feature extractions to model large-scale complex control systems |
-
2020
- 2020-06-13 CN CN202010570613.4A patent/CN111914887B/zh active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105955241A (zh) * | 2016-06-03 | 2016-09-21 | 北京科技大学 | 一种基于联合数据驱动生产过程的质量故障定位方法 |
CN109726771A (zh) * | 2019-02-27 | 2019-05-07 | 深圳市赛梅斯凯科技有限公司 | 异常驾驶检测模型建立方法、装置及存储介质 |
CN110879580A (zh) * | 2019-12-10 | 2020-03-13 | 浙江大学 | 一种面向大范围非平稳瞬变连续过程的分析和监测方法 |
Non-Patent Citations (1)
Title |
---|
多模态化工过程动态多点故障监测方法;胡瑾秋;罗静;郭放;;石油学报(石油加工)(第05期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN111914887A (zh) | 2020-11-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111914887B (zh) | 一种新型多模态化工过程异常状态检测方法 | |
Jang et al. | Adversarial autoencoder based feature learning for fault detection in industrial processes | |
KR101178235B1 (ko) | 에프에스브이알과 지엘알티를 이용한 발전소 계측기 성능감시 방법 및 시스템 | |
CN112036089A (zh) | 一种基于dpc-mnd和多元状态估计的磨煤机故障预警方法 | |
CN111914889B (zh) | 一种基于简略核主元分析的精馏塔异常状态识别方法 | |
CN110880024B (zh) | 基于判别核慢特征分析的非线性过程故障辨识方法及系统 | |
CN105955214B (zh) | 基于样本时序和近邻相似性信息的间歇过程故障检测方法 | |
CN111352408B (zh) | 一种基于证据k近邻的多工况流程工业过程故障检测方法 | |
CN109947076A (zh) | 一种基于贝叶斯信息准则的工业过程故障诊断方法 | |
CN109145972B (zh) | 一种船舶电力推进系统变频器报警器设计方法 | |
Lee et al. | Diagnostics of loss of coolant accidents using SVC and GMDH models | |
CN111913415B (zh) | 一种基于时序数据分析的连续搅拌反应釜运行状态监测方法 | |
Liu et al. | Model fusion and multiscale feature learning for fault diagnosis of industrial processes | |
CN115423158A (zh) | 一种水轮发电机组数据趋势的预测分析方法及系统 | |
Liu et al. | Data-driven identification model for associated fault propagation path | |
CN111914886B (zh) | 一种基于在线简略核学习的非线性化工过程监测方法 | |
CN114841621A (zh) | 一种基于在线近邻嵌入指标的合成氨过程运行状态异常检测方法 | |
CN111913447B (zh) | 一种在线数据驱动的非线性化工过程监测方法 | |
CN111062848A (zh) | 一种消防工程异常状态监测的智能监控方法 | |
CN112149054B (zh) | 基于时序扩展的正交邻域保持嵌入模型的构建与应用 | |
CN111905396B (zh) | 一种基于在线采样数据驱动的精馏过程实时监测方法 | |
CN110455399B (zh) | 用分布式光纤对建筑结构振动进行全局预警的方法 | |
CN111914471A (zh) | 一种基于快速核独立成分分析的精馏塔故障检测方法 | |
CN111091243A (zh) | 基于pca-gm的电力负荷预测方法、系统、计算机可读存储介质和计算设备 | |
CN111915121A (zh) | 一种基于广义典型变量分析的化工过程故障检测方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20240113 Address after: 529000 two storey office building, building 1, huzishan airport, Guanchong new village group, Gujing Town, Xinhui District, Jiangmen City, Guangdong Province Applicant after: Guangdong YueKai New Material Co.,Ltd. Address before: 518000 1002, Building A, Zhiyun Industrial Park, No. 13, Huaxing Road, Henglang Community, Longhua District, Shenzhen, Guangdong Province Applicant before: Shenzhen Wanzhida Technology Co.,Ltd. Effective date of registration: 20240113 Address after: 518000 1002, Building A, Zhiyun Industrial Park, No. 13, Huaxing Road, Henglang Community, Longhua District, Shenzhen, Guangdong Province Applicant after: Shenzhen Wanzhida Technology Co.,Ltd. Address before: 315211, Fenghua Road, Jiangbei District, Zhejiang, Ningbo 818 Applicant before: Ningbo University |
|
GR01 | Patent grant | ||
GR01 | Patent grant |