Led end-to-end delivery of the AVEVA Predictive Analytics workstream within a $10M APM program across 23 client power plants, directing a 10-member cross-functional team with AVEVA as technology partner.
APMPredictive AnalyticsPI SystemUATGo-LiveClient Governance
- Built a client-specific predictive-analytics business case using historical equipment-failure data; demonstrated up to two months of early anomaly detection and helped turn a one-plant pilot into company-wide expansion.
- Standardized requirements, schedules, and PI System data-readiness gates across up to four concurrent site deployments, cutting average site delivery from ~5 months to 3.5 months.
- Mentored plant engineers to independently build and sustain site-specific predictive models while preserving rollout schedule.
- Led Go/No-Go governance with Plant Directors, Plant Managers, and corporate leaders; reached 80% active use among target users within 60 days.
PROJECT REFERENCES
External sources that provide additional context for the program or project.
B.Grimm Power's Asset Management Strategy Optimization by Data-Driven Approach
AVEVA World session on using predictive analytics and historian data to support asset-strategy decisions, early anomaly detection, and long-term plant self-sufficiency.
Open reference ↗AboitizPower, REPCO NEX team up for first smart power plants in PH
Project Arkanghel partnership to develop digital twins for two AboitizPower thermal plants as pioneer sites for broader smart-power-plant deployment.
Open reference ↗