AI-based & digital condition monitoring
Move from reactive to predictive.
Monitor equipment in real time, notifying users of anomalies using SKF’s mobile and web applications.
gE - SKF bearing failure detection patent
AI / ML
Condition monitoring products
Root cause analysis
Protect equipment, prevent downtime.
We integrate century-long expertise to boost machine reliability and prevent unplanned downtime in rotating equipment.
PaM and PdM offering 
24/7 reliability centre
Highly experienced application engineers
Machine performance optimization
Turn performance into productivity.
Refurbish bearings, modify and select products to enhance service life and reduce TCO.
Bearing remanufacturing solutions
CO2 certification 
Reduce MTTR, increase MTBF
Early fault
detection
Alarm thresholds
and historical data trending
A Cost-effective
and scalable solution
3-in-1 complete
machine insights
Simplify maintenance with SKF QuickCollect – a user-friendly, scalable solution for monitoring rotating machinery. It captures vibration and temperature data to detect issues early and prevent downtime. Ideal for uninstrumented assets, it’s easy to set up, requires minimal training, and integrates smoothly into existing workflows. Unlike fixed sensors, it also helps spot leaks or spills during routine checks. A smart, reliable start to condition monitoring.
In Food & Beverage Industry, machine reliability is one of the key parameters to improve the productivity of the plant. However, food safety and hygiene are crucial for both manufacturer and consumer as well. The customer was seeking for a simple and easy condition monitoring solution in order to avoid unplanned downtime and catastrophic failures.
SKF offered QuickCollect sensor together with SKF Remote Diagnostic Service solution as a digital predictive maintenance program.
SKF QuickCollect sensor easy-to-use handheld sensor
SKF ProCollect app and Enlight Centre Reliability platform for your machine condition historical data and diagnosis
SKF Remote Diagnostic Service experts who always monitor your machine condition and inform you of machine failures in advance
Cost Saving
Unplanned downtime
The customer faced a high rejection rate of guide rollers, along with difficulty managing roller eccentricity and cobble.
SKF offered integrated reliability & maintenance solutions for the roll shop:
Operation & maintenance of roll shop 
Comprehensive supply of consumables 
Per-ton model of payment 
Focused intervention on guide rollers (Reduced rejection rate from 150 to 10 per month) Machine availability
Availability of rolls
High vibration and abnormal sound were observed at the Vertimill motor, caused by looseness and electrical faults.
Vertimill motor vibrations were being monitored via on-premise sensors
Condition monitoring. system automatically triggered warning for abnormal vibrations of the motor
Motor was replaced within 24 hours of the issued warningSavings from mitigated damages
MTTR reduction
Low increase in amplitudes with bearing induced defect frequencies
SKF offered integrated reliability & maintenance solutions for roll shop:
Online continuous monitoring (vibration + temperature) of 21 RPM KHD roller press using gE technology by remote diagnostics centreReduced unplanned downtime
Reduced requirement of spare parts by ensuring reliability of equipment via proactive predictive maintenance
High vibration & abnormal sound observed in key equipment e.g., dryers high energy consumption & frequent unplanned downtime due to bearing failures
SKF offered integrated reliability & maintenance solutions for roll shop:
Roll bearing replacement
Comprehensive maintenance program
Continuous monitoring & optimized predictive maintenance practices 
Changed traditional alignment & mounting methods to a technology-led approachMTBF increase
MTTR reduction
Secondary damages
The unplanned breakdowns and unscheduled spare parts at the plant were critical issues, leading to loss of production and high maintenance costs.
SKF offered integrated reliability solutions for large oil refineries.
Reliability services for all machines in the plant 
Long-term service agreement with fixed monthly fee payment 
Manpower is supplied. No extra manpower required from customer 
24/7 Online condition monitoring & protection systemMachine availability
Machine being monitored
A major wind farm faced challenges with asset reliability due to inadequate condition monitoring systems and a lack of internal competency in diagnosing wind turbine health. This resulted in frequent unplanned maintenance and higher operational costs.
SKF implemented a comprehensive reliability improvement program, which included:
Reliability services across 100+ wind turbines
Advanced vibration analysis training to upskill onsite teams
Long-term service agreement contracts to ensure sustained support
24/7 Remote condition monitoring for early fault detection and proactive maintenanceWindmill uptime
Machine condition monitoring
