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ORGANIZER;CN='8th ECIC & 9th ICSTI 2022':MAILTO:info@ecic-icsti.com
LOCATION:Room „Danzig“
SUMMARY:Knowledge-driven process, KPI, maintenance and reliability monitoring through Paul Wurth CMXpert™ system.
DESCRIPTION:As the equipment designer, Paul Wurth has an intimate knowledge of the WHY’S of the equipment design as well as an in-depth knowledge of process and equipment logic and operations of the latest technology. Growing global competition and increasing pressure to maximise production efficiency are key forces acting on the adoption of new digital tools within the iron and steel industry. Organisations recognise the importance of extracting and analysing information from data, as well as persisting and amplifying knowledge accumulated during years of experience in the types of equipment used in the primary iron making industry. The following will focus data acquisition and on knowledge-based  condition monitoring systems and their practical application in maintenance, specifically for the Paul Wurth coke oven machines and in particular for our Stamping Charging Pushing Machines. 

Monitoring and evaluating the condition of complex equipment requires analysis of everything from simple variable data to recognition of trends and complex phenomena resulting from multiple factors. Effective evaluation of critical events in the operation of complex equipment may rely on knowledge acquired from both human and machine. A secure platform and tools that allow integration of human and machine learning can enable continuous growth of baseline knowledge used to operate and monitor critical assets. 

Digitally captured knowledge from process and equipment experts with an abundance of real-time data adds the potential to predict and prevent asset failure by identifying and preventing the re-occurrence of detected failures and recognize repetitive events. Enabling engineers with tools omitting the need for programming or data science experience makes this possible. Rule engines driven by human knowledge reduce the potential for overwhelming operators faced with continuous alerts requiring no immediate remedy or action. 

THE COMPLETE ABSTRACT IS ATTACHED.
CLASS:PUBLIC
DTSTART:20220631T085500
DTEND:20220631T092000
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