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UID:874baf092b29e8aa78b73658932ccf67
DTSTAMP:20260720T155732Z
SUMMARY:Predictive Maintenance in Modern Radar Systems using Machine Learni
 ng
DESCRIPTION:Contact: bo.bernhardsson@control.lth.se\n\nTitle:&nbsp\; Predic
 tive Maintenance in Modern Radar Systems using Machine LearningAuthor:&nbs
 p\;Klas ThorgrenDate &amp\; Time: May 15th\, 14:15-15:00Location:&nbsp\;Se
 minar Room M 3170-73 in the M-building\, LTHSupervisor: Bo Bernhardsson&nb
 sp\;and&nbsp\;Håkan Warston&nbsp\;(Saab)Examiner:&nbsp\; Björn OlofssonA
 bstract:This thesis investigates how machine learning-based anomaly detect
 ion can be applied to enable predictive maintenance in radar systems. The 
 work uses sensors and monitoring data&nbsp\; from a test platform to train
  and evaluate an LSTM autoencoder for detecting deviations from normal sys
 tem behavior. It also examines whether the currently available monitoring 
 data\, including sensor measurements and fault reports\, is sufficient to 
 support a system-level predictive maintenance implementation.\n\nMore info
 rmation about the event: https://www.control.lth.se/calendar/predictive-ma
 intenance-modern-radar-systems-using-machine-learning
DTSTART;TZID=GMT:20260615T121500
DTEND;TZID=GMT:20260615T130000
LOCATION:Seminar Room M 3170-73 in the M-building\, LTH
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