Topic hub
Condition-Based Maintenance for Transformer Fleets
A GridAPM topic hub for condition-based maintenance, time-based maintenance, transformer APM, diagnostic evidence, and human-reviewed work packages.
Condition-based maintenance for transformer fleets connects DGA, oil quality, PRPD, SFRA, thermal loading, inspections, work history, asset criticality, and human-reviewed APM recommendations. GridAPM helps maintenance teams move from calendar-only maintenance to evidence-led transformer decisions.
Curated resources
Where to start.
A short, hand-picked path into this topic: guides, interactive tools, and solution pages.
Guide
Condition-Based vs Time-Based Maintenance
When each strategy wins, and the evidence burden each one carries.
Guide
CBM evidence readiness checklist
Check whether your DGA, PD, SFRA, and inspection records can support CBM.
Interactive tool
CBM pilot value calculator
Model conservative pilot value from your own fleet assumptions.
Comparison
TBM vs CBM vs AI-assisted CBM
The three maintenance strategies side by side, with honest boundaries.
Guide
DGA Trend Analysis
Reading multi-gas trends: rates of change, ratios, and review thresholds.
Buyer path
From research topic to pilot workflow.
Each topic should connect to a practical GridAPM evaluation: which evidence is available, which decision is hard today, who reviews the recommendation, and what output the team needs to trust.
- Intake
- Correlate & quality gate
- Agent reasoning
- Engineer sign-off
- Work package & report
Platform architecture
See modules, agents, evidence model, health index, lifecycle context, and reporting.
Data readiness
Map DGA, PRPD, SFRA, thermal, inspection, maintenance, historian, and enterprise data.
Pilot evaluation
Define scope, evidence inputs, timeline, success metrics, and deliverables.
FAQ
Questions buyers actually ask.
Should a fleet drop time-based maintenance entirely when adopting CBM?
No. Most fleets run a hybrid: statutory and safety-driven tasks stay on the calendar while condition evidence takes over interval decisions where data quality supports it. The practical question is which assets have evidence strong enough to earn condition-based treatment.
What evidence quality does CBM actually require?
Consistent asset identity, dates, and units across DGA, inspection, and test records; enough sampling history to see trends; and a named reviewer for threshold decisions. A readiness check on those basics is a better first step than buying analytics.
Test the workflow on your own fleet.
An eight-week pilot runs on your approved evidence, with your engineers keeping sign-off authority at every step.