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DTSTART:20260329T020000
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DESCRIPTION:This webinar explores the latest developments in condition moni
 toring and fault diagnosis techniques for electrical machines. It will dis
 cuss modern diagnostic methods\, advanced monitoring technologies\, and da
 ta-driven approaches used to detect early faults and improve machine relia
 bility. Participants will gain insights into current challenges faced in i
 ndustry\, including complex operating conditions\, integration of intellig
 ent monitoring systems\, and predictive maintenance strategies aimed at re
 ducing downtime and extending equipment lifespan.\n\nVirtual: https://even
 ts.vtools.ieee.org/m/549198
LOCATION:Virtual: https://events.vtools.ieee.org/m/549198
ORGANIZER:naser.veliu@postgrad.manchester.ac.uk
SEQUENCE:20
SUMMARY:Modern Aspects and Challenges on the Condition Monitoring and Fault
  Diagnosis of Electrical Machines Webinar
URL;VALUE=URI:https://events.vtools.ieee.org/m/549198
X-ALT-DESC:Description: <br /><p>This webinar explores the latest developme
 nts in condition monitoring and fault diagnosis techniques for electrical 
 machines. It will discuss modern diagnostic methods\, advanced monitoring 
 technologies\, and data-driven approaches used to detect early faults and 
 improve machine reliability. Participants will gain insights into current 
 challenges faced in industry\, including complex operating conditions\, in
 tegration of intelligent monitoring systems\, and predictive maintenance s
 trategies aimed at reducing downtime and extending equipment lifespan.</p>
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