Predictive maintenance in the steel & metals industry
Predictive maintenance in steel protects high-value drivetrains and rotating equipment in extreme conditions, where downtime on a hot line is hugely costly. Vibration and oil analysis on motors, gearboxes, bearings, fans and conveyors catch developing faults before they halt production.
Steelmaking subjects heavy drivetrains and rotating equipment to extreme heat, load and dust, and a stoppage on a hot line is enormously expensive. The key assets are large motors, gearboxes, bearings, fans and material-handling conveyors. Condition monitoring on these catches wear early, enabling planned repairs rather than emergency ones in a brutal environment.
Energy-intensive equipment in steel & metals
- Electric arc and reheat furnaces
- Continuous casters
- Hot and cold rolling mills
- Large drives, gearboxes and motors
- Ladles and transfer systems
Predictive maintenance by asset
Predictive maintenance for electric motors
Predictive maintenance for electric motors combines vibration, motor-current signature analysis and thermograp…
Predictive maintenance for fans and blowers
Predictive maintenance for fans and blowers uses vibration analysis and balancing data to catch imbalance from…
Predictive maintenance for pumps
Predictive maintenance for pumps uses vibration, motor-current and process data to catch impeller wear, cavita…
Predictive maintenance for gearboxes
Predictive maintenance for gearboxes combines vibration analysis and oil analysis to detect gear-tooth wear an…
Predictive maintenance for bearings
Predictive maintenance for bearings uses vibration analysis and ultrasound to detect lubrication problems and …
Predictive maintenance for conveyors
Predictive maintenance for conveyors uses vibration on drives and idlers, thermography and inspection to catch…
Predictive maintenance for compressors
Predictive maintenance for compressors uses vibration, temperature, oil and process analysis to catch valve fa…