SG11202009818PA - Raman spectroscopy and machine learning for quality control - Google Patents
Raman spectroscopy and machine learning for quality controlInfo
- Publication number
- SG11202009818PA SG11202009818PA SG11202009818PA SG11202009818PA SG11202009818PA SG 11202009818P A SG11202009818P A SG 11202009818PA SG 11202009818P A SG11202009818P A SG 11202009818PA SG 11202009818P A SG11202009818P A SG 11202009818PA SG 11202009818P A SG11202009818P A SG 11202009818PA
- Authority
- SG
- Singapore
- Prior art keywords
- machine learning
- quality control
- raman spectroscopy
- raman
- spectroscopy
- Prior art date
Links
- 238000001069 Raman spectroscopy Methods 0.000 title 1
- 238000010801 machine learning Methods 0.000 title 1
- 238000003908 quality control method Methods 0.000 title 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- C—CHEMISTRY; METALLURGY
- C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
- C08L—COMPOSITIONS OF MACROMOLECULAR COMPOUNDS
- C08L23/00—Compositions of homopolymers or copolymers of unsaturated aliphatic hydrocarbons having only one carbon-to-carbon double bond; Compositions of derivatives of such polymers
- C08L23/02—Compositions of homopolymers or copolymers of unsaturated aliphatic hydrocarbons having only one carbon-to-carbon double bond; Compositions of derivatives of such polymers not modified by chemical after-treatment
- C08L23/04—Homopolymers or copolymers of ethene
- C08L23/08—Copolymers of ethene
- C08L23/0807—Copolymers of ethene with unsaturated hydrocarbons only containing more than three carbon atoms
- C08L23/0815—Copolymers of ethene with aliphatic 1-olefins
-
- C—CHEMISTRY; METALLURGY
- C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
- C08L—COMPOSITIONS OF MACROMOLECULAR COMPOUNDS
- C08L23/00—Compositions of homopolymers or copolymers of unsaturated aliphatic hydrocarbons having only one carbon-to-carbon double bond; Compositions of derivatives of such polymers
- C08L23/02—Compositions of homopolymers or copolymers of unsaturated aliphatic hydrocarbons having only one carbon-to-carbon double bond; Compositions of derivatives of such polymers not modified by chemical after-treatment
- C08L23/10—Homopolymers or copolymers of propene
- C08L23/12—Polypropene
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/44—Raman spectrometry; Scattering spectrometry ; Fluorescence spectrometry
- G01J3/4412—Scattering spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- C—CHEMISTRY; METALLURGY
- C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
- C08L—COMPOSITIONS OF MACROMOLECULAR COMPOUNDS
- C08L2203/00—Applications
- C08L2203/10—Applications used for bottles
-
- C—CHEMISTRY; METALLURGY
- C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
- C08L—COMPOSITIONS OF MACROMOLECULAR COMPOUNDS
- C08L2205/00—Polymer mixtures characterised by other features
- C08L2205/02—Polymer mixtures characterised by other features containing two or more polymers of the same C08L -group
- C08L2205/025—Polymer mixtures characterised by other features containing two or more polymers of the same C08L -group containing two or more polymers of the same hierarchy C08L, and differing only in parameters such as density, comonomer content, molecular weight, structure
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8411—Application to online plant, process monitoring
- G01N2021/8416—Application to online plant, process monitoring and process controlling, not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8883—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges involving the calculation of gauges, generating models
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
- G01N2021/95615—Inspecting patterns on the surface of objects using a comparative method with stored comparision signal
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862653791P | 2018-04-06 | 2018-04-06 | |
PCT/US2019/026073 WO2019195737A1 (en) | 2018-04-06 | 2019-04-05 | Raman spectroscopy and machine learning for quality control |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202009818PA true SG11202009818PA (en) | 2020-11-27 |
Family
ID=68098054
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202009818PA SG11202009818PA (en) | 2018-04-06 | 2019-04-05 | Raman spectroscopy and machine learning for quality control |
Country Status (10)
Country | Link |
---|---|
US (1) | US10955362B2 (en) |
EP (1) | EP3775759A4 (en) |
JP (1) | JP7053946B2 (en) |
KR (1) | KR102282867B1 (en) |
CN (1) | CN112513561B (en) |
BR (1) | BR112020020417A2 (en) |
CA (1) | CA3095905C (en) |
MX (1) | MX2020010504A (en) |
SG (1) | SG11202009818PA (en) |
WO (1) | WO2019195737A1 (en) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
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EP3764252A4 (en) | 2018-03-09 | 2021-12-01 | Showa Denko K.K. | Polymer physical property prediction device, storage medium, and polymer physical property prediction method |
JP7109339B2 (en) * | 2018-11-02 | 2022-07-29 | 昭和電工株式会社 | Polymer design apparatus, program and method |
CN112633307A (en) * | 2019-10-08 | 2021-04-09 | 中强光电股份有限公司 | Automatic model training device and automatic model training method for spectrometer |
US11237111B2 (en) | 2020-01-30 | 2022-02-01 | Trustees Of Boston University | High-speed delay scanning and deep learning techniques for spectroscopic SRS imaging |
US11353394B2 (en) * | 2020-09-30 | 2022-06-07 | X Development Llc | Deformulation techniques for deducing the composition of a material from a spectrogram |
TW202221549A (en) * | 2020-11-26 | 2022-06-01 | 中強光電股份有限公司 | Method for optimizing output result of spectrometer and electronic device using the same |
WO2022146103A1 (en) * | 2020-12-31 | 2022-07-07 | 모던밸류 주식회사 | Construction of and searching method for raman scattering spectrum database through machine learning |
US20220390278A1 (en) * | 2021-06-07 | 2022-12-08 | Tellspec, Ltd. | Spectral analysis visualization system and method |
KR20240042871A (en) * | 2022-09-26 | 2024-04-02 | 한국과학기술원 | Deep learning and self-assembled monolayer-based alzheimer's disease diagnosis method and sers substrate for the same |
CN117451691B (en) * | 2023-12-21 | 2024-04-02 | 浙江恒逸石化有限公司 | Method for pre-judging yarn dyeing property |
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GB9517955D0 (en) * | 1995-07-25 | 1995-11-08 | Univ Strathclyde | Nucleotide sequence detection and analysis |
DE19934349A1 (en) * | 1999-07-22 | 2001-01-25 | Ulrich Thiele | Analytical method and system for continuous monitoring of polymer melts involves sampling the main stream and measuring property values on the melt and extruded polymer by various instrumental methods |
US6723804B1 (en) * | 2000-11-03 | 2004-04-20 | Chevron Phillips Chemical Company, Lp | Monitoring and control of slurry processes for polymerizing olefins |
CA2466318A1 (en) * | 2001-11-09 | 2003-05-22 | Exxonmobil Chemical Patents Inc. | On-line measurement and control of polymer properties by raman spectroscopy |
AU2003255419A1 (en) | 2002-08-12 | 2004-03-03 | Basell Polyolefine Gmbh | Determination of mechanical properties of polymer products using raman spectroscopy |
AU2003302739A1 (en) * | 2003-01-06 | 2004-08-10 | Exxonmobil Chemical Patents Inc. | On-line measurement and control of polymer product properties by raman spectroscopy |
US7483129B2 (en) | 2005-07-22 | 2009-01-27 | Exxonmobil Chemical Patents Inc. | On-line properties analysis of a molten polymer by raman spectroscopy for control of a mixing device |
CN1963824A (en) * | 2006-11-17 | 2007-05-16 | 东华大学 | Method for forecasting diameter of fibre of unwoven cloth based on extrusion method of polymer of NN |
CN101403696A (en) | 2008-10-21 | 2009-04-08 | 浙江大学 | Method for measuring gasoline olefin content based on Raman spectrum |
CN101995395B (en) * | 2009-08-14 | 2013-07-31 | 上海镭立激光科技有限公司 | Method for online detecting material by laser induction multiple spectrum united fingerprint network |
DE102009038746B3 (en) * | 2009-08-27 | 2011-04-14 | Airbus Operations Gmbh | Method and apparatus for quality testing a reshaped thermoplastic fiber reinforced plastic component |
JP5265632B2 (en) * | 2010-08-16 | 2013-08-14 | 株式会社サイム | Plastic identification device and plastic identification method |
CN103376251A (en) * | 2012-04-19 | 2013-10-30 | 上海迪亚凯特生物医药科技有限公司 | Portable Raman spectrum measuring device and system for quickly detecting article |
CA2920765A1 (en) * | 2012-08-16 | 2014-02-20 | National University Of Singapore | Diagnostic instrument and methods relating to raman spectroscopy |
US9506867B2 (en) * | 2012-12-11 | 2016-11-29 | Biogen Ma Inc. | Spectroscopic analysis of nutrient materials for use in a cell culture process |
EP3087135B1 (en) * | 2013-12-23 | 2020-11-11 | Braskem America, Inc. | Propylene-based compositions of enhanced appearance and excellent mold flowability |
CN104089941B (en) * | 2014-06-11 | 2018-01-05 | 华南理工大学 | A kind of Raman spectrum on-line measurement apparatus and method of polymer melt property |
EP3164046B1 (en) * | 2014-07-02 | 2020-10-28 | National University of Singapore | Raman spectroscopy system, apparatus, and method for analyzing, characterizing, and/or diagnosing a type or nature of a sample or a tissue such as an abnormal growth |
KR20160041622A (en) * | 2014-10-08 | 2016-04-18 | 삼성전자주식회사 | Method for multi-analysis of Raman spectroscopy signal |
AU2016255744B2 (en) * | 2015-04-27 | 2018-11-08 | Virtual Fluid Monitoring Services LLC | Systems, apparatuses, and methods for fluid analysis and monitoring |
US11051889B2 (en) * | 2015-05-10 | 2021-07-06 | Alpha Omega Engineering Ltd. | Brain navigation methods and device |
EP3380825B1 (en) * | 2015-11-23 | 2020-09-23 | CellTool GmbH | Device and method for analyzing biological objects with raman spectroscopy |
CN105891185A (en) * | 2016-04-08 | 2016-08-24 | 广东工业大学 | Precious-metal micro-nanometer structure and preparing method and application thereof |
CN105997000B (en) * | 2016-05-30 | 2023-04-14 | 福建师范大学 | Raman spectrum detection device based on fiber endoscope and implementation method thereof |
WO2018094234A1 (en) * | 2016-11-18 | 2018-05-24 | The Regents Of The University Of California | Synthesis of graphene nanoribbons from monomeric molecular precursors bearing reactive alkyne moieties |
JP6438549B1 (en) | 2017-08-24 | 2018-12-12 | 日本分光株式会社 | Classification method of unknown compounds using machine learning |
JP2019052932A (en) | 2017-09-14 | 2019-04-04 | 国立研究開発法人理化学研究所 | Data analyzer, program and recording medium, and data analysis method |
KR102408951B1 (en) | 2017-09-18 | 2022-06-13 | 삼성전자주식회사 | Apparatus and method for estimating glucose exposure, Apparatus and method for generating glucose exposure estimation model |
CN107818298B (en) * | 2017-09-27 | 2021-03-09 | 厦门大学 | General Raman spectrum feature extraction method for machine learning substance identification algorithm |
-
2019
- 2019-04-05 BR BR112020020417-0A patent/BR112020020417A2/en unknown
- 2019-04-05 WO PCT/US2019/026073 patent/WO2019195737A1/en unknown
- 2019-04-05 MX MX2020010504A patent/MX2020010504A/en unknown
- 2019-04-05 KR KR1020207031808A patent/KR102282867B1/en active IP Right Grant
- 2019-04-05 SG SG11202009818PA patent/SG11202009818PA/en unknown
- 2019-04-05 CA CA3095905A patent/CA3095905C/en active Active
- 2019-04-05 EP EP19781181.3A patent/EP3775759A4/en active Pending
- 2019-04-05 US US16/376,642 patent/US10955362B2/en active Active
- 2019-04-05 CN CN201980030351.8A patent/CN112513561B/en active Active
- 2019-04-05 JP JP2021504134A patent/JP7053946B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US10955362B2 (en) | 2021-03-23 |
EP3775759A1 (en) | 2021-02-17 |
CA3095905A1 (en) | 2019-10-10 |
KR20200139237A (en) | 2020-12-11 |
CN112513561B (en) | 2022-04-15 |
MX2020010504A (en) | 2021-03-25 |
EP3775759A4 (en) | 2022-04-27 |
CA3095905C (en) | 2021-08-10 |
WO2019195737A1 (en) | 2019-10-10 |
US20190310207A1 (en) | 2019-10-10 |
CN112513561A (en) | 2021-03-16 |
KR102282867B1 (en) | 2021-07-27 |
JP2021521463A (en) | 2021-08-26 |
JP7053946B2 (en) | 2022-04-12 |
BR112020020417A2 (en) | 2021-01-12 |
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