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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260530T232902Z
UID:14C25888-2F19-4776-8366-8692AA5385CC
DTSTART;TZID=America/St_Johns:20260528T120000
DTEND;TZID=America/St_Johns:20260528T130000
DESCRIPTION:🌟 The IEEE NL Section Women in Engineering (WIE) invites you
  to a special talk titled &quot;Digital Twin Enhanced Condition Monitoring and 
 Maintenance Decision Making of Critical Engineering Systems&quot;\, by Dr. Mihi
 ran Galagerage Don\, Assistant Professor\, Faculty of Engineering and Appl
 ied Science\, Memorial University of Newfoundland.\n\n[]\n\nTalk Abstract:
 \n\nFailures in marine propulsion systems\, though infrequent\, can cause 
 significant safety and economic consequences through loss of propulsion (L
 OP) events. Emerging maritime trends—including hydrogen propulsion\, Arc
 tic navigation\, and autonomous operations—further increase the need for
  advanced condition monitoring. This study reviews digital twin (DT) resea
 rch for marine propulsion systems\, highlighting the limited focus on comp
 onent-level DTs despite their potential for predictive maintenance and rel
 iability improvement. Key challenges include limited dynamic models\, comp
 utational cost\, data availability\, ownership issues\, and communication 
 constraints. To address these gaps\, the study proposes the Digital Twin R
 esearch Hub (DTRH)\, a bond graph–based multi-physics framework for deve
 loping efficient component-level DTs and fostering interdisciplinary colla
 boration.\n\nSpeaker(s): \, Dr. Mihiran Galagedarage Don\n\nRoom: Faculty 
 Lounge (EN4000)\, Memorial University of Newfoundland\, St. John&#39;s\, Newfo
 undland and Labrador\, Canada
LOCATION:Room: Faculty Lounge (EN4000)\, Memorial University of Newfoundlan
 d\, St. John&#39;s\, Newfoundland and Labrador\, Canada
ORGANIZER:vnherath@mun.ca
SEQUENCE:11
SUMMARY:Digital Twin Enhanced Condition Monitoring and Maintenance Decision
  Making of Critical Engineering Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/560287
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;🌟 &lt;strong data-start=&quot;119&quot; data-end=&quot;16
 9&quot;&gt;The IEEE NL Section Women in Engineering (WIE)&lt;/strong&gt; invites you to 
 a special talk titled &quot;Digital Twin Enhanced Condition Monitoring and Main
 tenance Decision Making of Critical Engineering Systems&quot;\, by &lt;strong&gt;Dr. 
 Mihiran Galagerage Don&lt;/strong&gt;\, Assistant Professor\, Faculty of Enginee
 ring and Applied Science\, Memorial University of Newfoundland.&lt;/p&gt;\n&lt;p&gt;&lt;i
 mg src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/a2c3897b-d4
 cc-4fcd-874a-c6e5ca31aeed&quot; alt=&quot;&quot; width=&quot;695&quot; height=&quot;391&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;stron
 g&gt;Talk Abstract:&amp;nbsp\;&lt;/strong&gt;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;Fai
 lures in marine propulsion systems\, though infrequent\, can cause signifi
 cant safety and economic consequences through loss of propulsion (LOP) eve
 nts. Emerging maritime trends&amp;mdash\;including hydrogen propulsion\, Arcti
 c navigation\, and autonomous operations&amp;mdash\;further increase the need 
 for advanced condition monitoring. This study reviews digital twin (DT) re
 search for marine propulsion systems\, highlighting the limited focus on c
 omponent-level DTs despite their potential for predictive maintenance and 
 reliability improvement. Key challenges include limited dynamic models\, c
 omputational cost\, data availability\, ownership issues\, and communicati
 on constraints. To address these gaps\, the study proposes the Digital Twi
 n Research Hub (DTRH)\, a bond graph&amp;ndash\;based multi-physics framework 
 for developing efficient component-level DTs and fostering interdisciplina
 ry collaboration.&lt;/p&gt;
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