{"id":3693,"date":"2020-04-30T17:21:53","date_gmt":"2020-04-30T15:21:53","guid":{"rendered":"https:\/\/www.dvel.se\/?p=3693"},"modified":"2023-12-15T12:06:13","modified_gmt":"2023-12-15T11:06:13","slug":"new-collaboration-with-ess-within-vinova-project-regarding-machine-learning-and-ai","status":"publish","type":"post","link":"https:\/\/www.dvel.se\/sv\/news\/new-collaboration-with-ess-within-vinova-project-regarding-machine-learning-and-ai\/","title":{"rendered":"New collaboration with ESS within Vinova-project regarding machine learning and AI"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”Section 1 – BLOG \/ NEWS” _builder_version=”4.9.3″ _module_preset=”default” width=”100%” module_alignment=”center” custom_margin=”-35px||||false|false” custom_padding=”0px||42px||false|false” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.9.3″ _module_preset=”default” width=”100%” custom_margin=”7px|auto||auto||” custom_padding=”3px|||||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.dvel.se\/wp-content\/uploads\/2021\/06\/ESSDVelCollaboration.jpg” title_text=”ESSDVelCollaboration” _builder_version=”4.9.3″ _module_preset=”default” width=”auto” max_width=”none” min_height=”auto” height=”auto” height_tablet=”” height_phone=”” height_last_edited=”on|phone” max_height=”none” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Text” _builder_version=”4.10.4″ _module_preset=”default” text_font=”Open Sans|600|||||||” width=”100%” custom_margin=”-5px||||false|false” custom_padding=”28px||1px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

We have started a collaboration with ESS in a new Vinnova project where the goal is to implement algorithms in the control system to improve operational reliability at ESS. This type of predictive machine learning is also of interest to the manufacturing industry to prevent machine downtime.<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.10.4″ _module_preset=”default” width=”100%” custom_margin=”-5px||||false|false” custom_padding=”28px||1px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

The ESS Integrated Controls System Division initiated a machine learning project just over a year ago with the overall goal of improving the operational reliability of the facility. DVel is now developing a machine learning algorithm whose purpose is to anticipate problems during operation before components break down or the process stops. The algorithm will be implemented in the ESS control system EPICS.<\/p>\n

 <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.9.3″ _module_preset=”default” width=”100%” custom_padding=”||2px|||” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Text” _builder_version=”4.9.3″ _module_preset=”default” width=”100%” custom_margin=”-5px||||false|false” custom_padding=”0px||1px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

Reliability is a major challenge not only for ESS but for larger facilities in general. The difficulty for ESS and other research facilities is the enormous complexity, with over hundreds of thousands of components and millions of measurement and control points. The challenge for traditional systems in, for example, the process industry is similar. The complexity increases with more sensors, larger data volumes and a higher degree of automation. In other words, the technological development generated by the project will be of interest to a number of industries, such as the aerospace industry and healthcare.<\/p>\n

 <\/p>\n

Big Science Sweden has helped us with contacts at ESS and with several large research facilities in the world.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_testimonial author=”Karin Rathsman” job_title=” Accelerator Physicist” company_name=”ESS” _builder_version=”4.9.3″ _module_preset=”default” author_font=”Open Sans|700|||||||” custom_margin=”-1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

\u201cThe purpose of this project is to improve operational reliability and thereby provide researchers with optimal conditions for their experiments at the facility. Collaborations with industry are valuable to us because we must always ensure the quality of algorithms and integrate these with the control system on an industrial scale. \u201d<\/p>\n

[\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.9.3″ _module_preset=”default” width=”100%” custom_padding=”26px|||||” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_testimonial author=”Anna Hall” job_title=”Program Manager” company_name=”Big Science Sweden” _builder_version=”4.9.3″ _module_preset=”default” author_font=”Open Sans|700|||||||” custom_margin=”-1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

\u201cWe are pleased with this collaboration and see that around ESS and MAX IV, many support companies are needed to support the operation and development of the facilities. It is also exciting that DVel will be a bridge of knowledge between ESS and the manufacturing industry. \u201d<\/p>\n

[\/et_pb_testimonial][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_testimonial author=”Karin Hellqvist” job_title=” Technical Manager” company_name=”DVel” _builder_version=”4.9.3″ _module_preset=”default” author_font=”Open Sans|700|||||||” custom_margin=”-1px|||||” locked=”off” global_colors_info=”{}”]<\/p>\n

“We see a great need for predictive control systems throughout the process industry and hope to be able to offer effective solutions in the area.”<\/p>\n

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Karin Hellqvist<\/strong><\/h4>\n

CSO<\/p>\n

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We have started a collaboration with ESS in a new Vinnova project where the goal is to implement algorithms in the control system to improve operational reliability at ESS. 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