IndiaEnergy and utilities2024 – ongoingHindustan Petroleum
AI maintenance forecasts for critical rotating equipment
Hindustan Petroleum implemented AI maintenance forecasts at refineries and marketing locations
Problem
Unexpected failures of critical rotating equipment could interrupt operations. Maintenance teams needed earlier warnings of deteriorating equipment health.
Approach
HPCL implemented AI and machine-learning maintenance analysis at its Mumbai and Visakh refineries and marketing locations. The system provided real-time equipment prognosis and estimates of remaining useful life. Maintenance teams received alerts about potential problems.
Results
No published figures
Takeaway
HPCL reported improved reliability, but did not quantify avoided shutdowns or maintenance savings for this system.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
HPCL reported implementing AI-based predictive maintenance for critical rotating assets at refinery and marketing sites. It described equipment alerts and remaining-life predictions, with qualitative improvements in efficiency and reliability.
Full details are in the original sources.