BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IT Center Events - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IT Center Events
X-ORIGINAL-URL:https://blog.rwth-aachen.de/itc-events
X-WR-CALDESC:Veranstaltungen für IT Center Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240521T140000
DTEND;TZID=Europe/Berlin:20240521T170000
DTSTAMP:20260426T021449
CREATED:20240416T124100Z
LAST-MODIFIED:20240523T075006Z
UID:7025-1716300000-1716310800@blog.rwth-aachen.de
SUMMARY:[:en]AI for Predictive Maintenance[:]
DESCRIPTION:Der Eintrag ist nur auf English verfügbar. We are excited to announce the continuation of the successful collaboration between HPC.NRW and MathWorks for the third consecutive year\, offering a comprehensive series of four workshops designed to empower researchers\, engineers\, and scientists. This unique series aims to enhance skills in high-performance computing (HPC)\, software development for research\, and artificial intelligence (AI) with MATLAB. \nArtificial intelligence (AI) is rapidly becoming a critical component of many engineering systems and disciplines today. In the field of predictive maintenance\, AI is being used to design and develop smarter ways to perform anomaly detection\, identify faults\, and estimate remaining useful life of machines. In this forth part of the Parallel Computing with MATLAB series you will write and execute code examples in MATLAB Online – entirely in the browser – to learn and explore how to apply principles of AI to predictive maintenance: machine learning\, deep learning\, feature extraction\, and domain-specific data processing. \nWorkshop Series\n\nParallel Computing with MATLAB\nParallel Computing with MATLAB on the CLAIX Cluster\nIntroduction to Research Software Development with MATLAB\nAI for Predictive Maintenance (this course)\n\nOrganization\n\nThere is no seminar fee.\nPresentations will be given in English. Slides will be available after the event.\nThis is an online event and will be held in Zoom. Links are sent to registered attendees with the registration confirmation.\nYou can/must register per topic\, i.e.\, for each workshop separately.\n\nSpeaker\n\nDr. Kathi Kugler (MathWorks)\n\nCourse level\n\nBeginner to Intermediate\n\nTarget audience\n\nHPC/AI users\nHPC/AI developers\nUsers interested in predictive maintenance\n\nPrerequisites\n\nBasic MATLAB familiarity (If you feel insecure\, we recommend completing the self-pace online course MATLAB Onramp (ca. 2 hours) before the workshop)\nYour MathWorks-Account\n\nGained skills\n\n\n\nFamiliarizing yourself with MATLAB Online and AI tools with an introductory example that trains a machine learning model to classify faults.\nExploring how to extract features in the time and frequency domains\, and rank them to obtain the most relevant features to train your AI model\nDiving deep into an advanced\, predictive maintenance workflow that covers anomaly detection and remaining useful life estimation.\n\n\n\nRegistration\nJetzt anmelden » \nCourse Material\n\n4_-AI-for-Predictive-Maintenance-HPC-NRW-Handout.pdf\nExercise material on Github\n\nCooperation Partners
URL:https://blog.rwth-aachen.de/itc-events/event/ai-for-predictive-maintenance/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,HPC.NRW,MathWorks
ORGANIZER;CN="HPC.NRW":MAILTO:training@hpc.nrw
END:VEVENT
END:VCALENDAR