Tenders Are Invited For Research And Experimental Development Services

Tender Detail

33642441
2020 S 192 464952
Self Funded
Tenders Are Invited For Research And Experimental Development Services
ICB
Eastern Europe
European Union
03-11-2020

Work Detail

Contract Notice Research And Experimental Development ServicesParticipation In Industrial Research Of The Master Module In The Field Of Prediction And Prescription As Well As Functionality Of The Operation Control System For The Purposes Of The Research And Development Project Entitled Development And Demonstration Of A Computer System For Controlling Operation And Managing The Availability And Reliability Of Industrial Infrastructure Based On Artificial Intelligence Algorithms Co Financed By The Erdf Through The National Center For Research And Development Under Contract No Poir 01 01 01 00 1253 19 00 Description The Subject Of The Contract Is Participation In Industrial Research Of The Master Module In The Field Of Prediction And Prescription As Well As Functionality Of The Operation Control System For The Purposes Of The Research And Development Project Entitled Development And Demonstration Of A Computer System For Controlling Operation And Managing The Availability And Reliability Of Industrial Infrastructure Based On Artificial Intelligence Algorithms Co Financed By The Erdf Through The National Center For Research And Development Under Contract No Poir 01 01 01 00 1253 19 00 The Aim Of The Research Work Is To Improve The Availability Of The 460 Mwe Cfb Lagisza Block And Effective Management Of The Power Units Assets The Main Research Problem Is The Development Of A Project And A System Using Innovative Predictive Prescription Algorithms Which Are Complex Models Using Classical Machine Learning And Advanced Statistical Algorithms In Addition As Part Of The Work Carried Out Research Should Be Carried Out On The Possibility Of Using Self Learning Models Based On Deep Machine Learning Including The Knowledge Transfer Mechanism So Called Transfer Learning Used For Quick Model Training For Similar Devices The Developed Algorithms Will Be Used To Manage The Operation Of An Industrial Plant With The Aim Of Improving The Efficiency And Effectiveness In This Case Of A Power Unit The Main Installation Of Which Is A Fluidized Bed Boiler In Addition The Developed Models Will Be Used To Detect Anomalies Along With The Rca Root Cause Analysis And Rul Remaning Useful Life Estimation Functionalities The Conducted Research Will Make It Possible To Improve The Failure Rate Which Is One Of The Main Goals Of The Project The System Developed Under The Project Will Take Into Account The Interaction Of Individual Elements Of The System I E The Boiler Generator Transformer And Other Units Of The Unit Together With Their Integration The Developed Holistic Optimizer Of The Target System Should Take Into Account The Integration Of All Its Components Which In Turn Is To Lead To The Implementation Of The Concept Of A Coherent System For Controlling The Production Process Of An Industrial Installation And A Holistic Optimization Of This Process Such An Approach To The Maintenance And Control Of An Industrial Installation Will Allow To Increase And Improve The Quality Of The Offered Products Through The Possibility Of Cost Free Verification Of Production Hypotheses The Aspect Of Holistic Optimization Of The Technological Process Should Be Analyzed In The Perspective Of A Possible Replacement Or Improvement Of Fuzzy Logic Methods Through The Dedicated Use Of Artificial Intelligence Methods Including Classic Machine Learning Methods And Deep Learning Such Modification Will Ensure Better Resistance To Non Standard Behaviors Use Of Built In Self Learning Mechanisms And Thus The Continuous Improvement Of The Quality Of The Control And Optimization System Time Limit For Receipt Of Tenders Or Requests To Participate 3 11 2020 12 00 Disclaimer The Above Text Is Machine Translated For Accurate Information Kindly Refer The Original Document

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