Topic Hub
Everything Delta BI has built and published on predictive maintenance — from operational guides for fleet engineers to AI-powered software for maritime operators.
Data
Validate readings and maintenance history
Define the baseline
Review
Give engineers an accountable decision
Assign ownership
Pilot
Measure alerts, review effort and findings
Evaluate before rollout
Each page below answers a different question. Pick the one that matches where you are.
Read the practical guide: the data you need, how alerts become inspections and how to run a pilot.
Read the guideCompare predictive and preventive maintenance by equipment type and failure mode.
Compare the approachesSee how SmartMaintain turns equipment signals into ranked maintenance decisions.
Explore SmartMaintainSee the delivered project across 40 vessels and how its results were measured.
Read the case studyA practical guide to equipment data, engineering review, alert evaluation and deployment.
Choose an approach by failure mode, data availability and operational consequence.
NorthSea Shipping (name changed)
99.1% fleet uptime
An IoT and machine-learning platform across 40 vessels detected pre-failure signatures an average of 21 days ahead, cutting unplanned diversions from 18 to 2 in the first year.
Read the full case studySmartMaintain connects to your existing sensor infrastructure, trains AI models on vessel-specific data, and integrates with your CMMS, procurement, and voyage planning systems. Deployed in weeks, not months.
Start with the decision
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