NO20071830L - System og fremgangsmate for detektering av unormale hendelser under drift av kontinuerlige industrielle prosesser - Google Patents

System og fremgangsmate for detektering av unormale hendelser under drift av kontinuerlige industrielle prosesser

Info

Publication number
NO20071830L
NO20071830L NO20071830A NO20071830A NO20071830L NO 20071830 L NO20071830 L NO 20071830L NO 20071830 A NO20071830 A NO 20071830A NO 20071830 A NO20071830 A NO 20071830A NO 20071830 L NO20071830 L NO 20071830L
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Norway
Prior art keywords
data
models
patterns
databases
minute
Prior art date
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NO20071830A
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English (en)
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NO338660B1 (no
Inventor
Kenneth F Emigholz
Sourabh K Dash
Stephen S Woo
Robert K Wang
Richard B Mclain
Thomas A Kendi
Original Assignee
Exxonmobil Res & Eng Co
Priority date (The priority date 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 date listed.)
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Application filed by Exxonmobil Res & Eng Co filed Critical Exxonmobil Res & Eng Co
Publication of NO20071830L publication Critical patent/NO20071830L/no
Publication of NO338660B1 publication Critical patent/NO338660B1/no

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Classifications

    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
    • C10G11/187—Controlling or regulating
    • 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
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • 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
    • 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
    • G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Automation & Control Theory (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Organic Chemistry (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Feedback Control In General (AREA)
  • Numerical Control (AREA)

Abstract

Tusenvis av prosess- og utstyrsmålinger blir samlet av de moderne digitale prosessreguleringssystemene som tas i bruk i raffinerier og kjemiske fabrikker. Flere år med slike data blir lagret som historikk i databaser for analysering og rapportering. Disse databasene kan utforskes for datamønstre som forekommer under normal drift, og disse mønstrene brukes til å bestemme hvorvidt prosessen oppfører seg unormalt. Disse normaldriftsmønstrene blir representert av et sett modeller. Disse modellene inkluderer enkle tekniske ligninger som uttrykker kjente sammenhenger som skulle gjelde under normal drift, og multivariate statistikkmodeller basert på en art hovedkomponentanalyse. Problemer med prosess og utstyr lar seg oppdage ved å sammenligne data samlet minutt for minutt med prediksjoner fra disse normaldriftsmodellene. Avviket mellom ventet mønster i driftsdataene og det virkelige datamønsteret blir tolket av fuzzy Petri-nett for å fastslå normaliteten av driften. Dette blir så brukt til å bistå operatøren med å lokalisere og diagnostisere årsaken til problemet.
NO20071830A 2004-09-10 2007-04-10 System og fremgangsmåte for detektering av unormale hendelser under drift av kontinuerlige industrielle prosesser NO338660B1 (no)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US60917204P 2004-09-10 2004-09-10
US11/212,189 US7349746B2 (en) 2004-09-10 2005-08-26 System and method for abnormal event detection in the operation of continuous industrial processes
PCT/US2005/032094 WO2006031635A2 (en) 2004-09-10 2005-09-09 System and method for abnormal event detection in the operation of continuous industrial processes

Publications (2)

Publication Number Publication Date
NO20071830L true NO20071830L (no) 2007-05-09
NO338660B1 NO338660B1 (no) 2016-09-26

Family

ID=36035171

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20071830A NO338660B1 (no) 2004-09-10 2007-04-10 System og fremgangsmåte for detektering av unormale hendelser under drift av kontinuerlige industrielle prosesser

Country Status (6)

Country Link
US (1) US7349746B2 (no)
EP (1) EP1789856A4 (no)
JP (1) JP5364265B2 (no)
CA (1) CA2578612C (no)
NO (1) NO338660B1 (no)
WO (1) WO2006031635A2 (no)

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US20060058898A1 (en) 2006-03-16
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CA2578612A1 (en) 2006-03-23
US7349746B2 (en) 2008-03-25
NO338660B1 (no) 2016-09-26
CA2578612C (en) 2014-08-26
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WO2006031635A2 (en) 2006-03-23

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