Korea Midland Power (KOMIPO)
MIRI predictive maintenance for coal pulverizers
KOMIPO used MIRI to schedule pulverizer maintenance by wear
Problem
Pulverizer parts were replaced on fixed schedules regardless of condition.
Approach
KOMIPO's research institute developed MIRI for predictive diagnosis and deployed it across its sites. AI assessed equipment condition, including pulverizer wear, to guide maintenance timing.
Results
No published figures
Takeaway
KOMIPO reported fewer unnecessary part replacements after maintenance timing followed actual wear rather than fixed intervals.
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
The report described condition-based pulverizer maintenance. It gave no savings figure.
KOMIPO said MIRI was operating across all its sites and that its research institute had built a second-generation platform in 2023. The report also described a contract to provide predictive diagnosis to Pocheon Independent Power.
Full details are in the original sources.