BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.35.1//EN
X-ORIGINAL-URL:https://silveragesolutions.co.uk/
X-WR-CALNAME:Silver Age Solutions
X-WR-CALDESC:Education Consultancy
X-WR-TIMEZONE:UTC
BEGIN:VTIMEZONE
TZID:UTC
X-LIC-LOCATION:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20261019T233509
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-07563a3fe3bbe7e3ba84431ad9d055af@silveragesolutions.co.uk
DTSTART;TZID=UTC:20260511T093000
DTEND;TZID=UTC:20260515T160000
DTSTAMP:20260815T154450Z
CREATED:20260815
LAST-MODIFIED:20260815
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:AI-Enabled Condition Monitoring (CM) of Propulsion, Power, and Auxiliary Systems
DESCRIPTION:IntroductionCondition monitoring is the “pulse” of a vessel’s mechanical health. CM is part of the “Digital Workplace” trend where AI analytics provide continuous oversight of high-complexity power management systems. This ensures “zero-downtime” for sophisticated assets like DP3 drillships or luxury cruise liners, where power failure is not an option.\nIn emerging markets, AI-enabled CM is a strategic tool for extending the “economic life” of assets. By monitoring propulsion and auxiliary systems on older vessels, operators can prevent catastrophic failures that would otherwise lead to the total loss of the asset. This course provides the reliability and resilience strategies needed to manage a diverse fleet across multiple economic zones.\nManagers will learn how to design dashboards that reduce “Digital Friction” for their teams, ensuring that the right alerts reach the right people at the right time\nLearning Outcomes\n\nImplement AI condition monitoring (CM) frameworks for propulsion and power systems.\nDevelop reliability and resilience strategies based on real-time health indicators.\nIntegrate CM data into “Digital Workplace” workflows for shore-based engineers.\nDesign AI alerts that distinguish between critical failures and sensor noise.\nEvaluate the impact of CM on insurance premiums and classification standards.\nLead teams in interpreting system health dashboards for faster engineering decisions.\n\nLearning Objectives\n\nApply AI analytics to propulsion, power distribution, and auxiliary systems.\nInterpret system health indicators to prevent catastrophic mechanical failures.\nDevelop reliability strategies that mitigate “Digital Burnout” for monitoring staff.\nIdentify the most critical sensor points for propulsion monitoring.\nCompare AI condition monitoring vs. traditional vibration analysis.\nConstruct a CM implementation plan for a heterogeneous fleet.\n\n
URL:https://silveragesolutions.co.uk/events/ai-enabled-condition-monitoring-cm-of-propulsion-power-and-auxiliary-systems/
LOCATION:Istanbul
ATTACH;FMTTYPE=image/jpeg:https://silveragesolutions.co.uk/wp-content/uploads/2026/08/handshake.jpg
END:VEVENT
END:VCALENDAR