SKF
Continuous Condition Monitoring
SKF continuous condition monitoring systems provide 24/7, real-time surveillance of critical production machinery, detecting developing faults at the earliest possible stage and automatically generating alarms when vibration, temperature, or bearing condition parameters exceed safe thresholds. Unlike portable monitoring — which provides periodic snapshots of machinery health — continuous monitoring captures the moment-by-moment condition data essential for protecting assets where failure development can be rapid or where unplanned downtime would have severe production, safety, or environmental consequences. The SKF continuous monitoring portfolio includes the Multilog IMx on-line system (8 and 16-channel configurations for wired sensor installations), wireless IMx-1 sensors (battery-powered, ATEX-certified options for hard-to-reach or hazardous locations), SKF Enlight AI (self-learning algorithms that continuously analyze asset data), and SKF Axios (a simple, wireless, cloud-based predictive maintenance solution developed with Amazon Web Services). For reliability teams protecting plant-critical assets, production managers accountable for line availability, and organizations pursuing Industry 4.0 digital transformation, SKF continuous monitoring provides the real-time machinery health intelligence essential for maximizing production uptime.
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Multilog IMx-8 & IMx-16Plus On-Line Systems
Fixed-installation monitoring systems providing continuous data acquisition from up to 16 analog channels per unit, with relay outputs for automatic machine shutdown on critical alarms.
Wireless IMx-1 Sensors for Flexible Deployment
Battery-powered, ATEX-certified wireless sensors enable cost-effective monitoring of assets where cabling is impractical — ideal for remote equipment, moving machinery, and hazardous area applications.
SKF Enlight AI
Self-Learning Analytics: Artificial intelligence algorithms continuously analyze sensor data, automatically detect anomalies, and even recalibrate or replace analytical models when machine behavior changes, reducing the expertise required for effective monitoring.
SKF Axios Cloud-Based Predictive Maintenance
An end-to-end wireless predictive maintenance solution that detects equipment anomalies, provides health notifications, and requires no specialized vibration analysis expertise to deploy or operate.
Comprehensive Parameter Monitoring
Continuous systems monitor vibration (overall levels, spectrum, time waveform), bearing condition (enveloped acceleration), temperature, speed, and process parameters, providing a complete picture of machine health.
@ptitude Software Suite for Advanced Analysis
All continuous monitoring data feeds into SKF's @ptitude software platform for trending, diagnostics, automated reporting, and integration with plant CMMS and control systems.
When to Invest in Continuous vs. Portable Monitoring
The decision to invest in continuous monitoring is typically driven by an asset criticality assessment. Production bottleneck machinery — where failure would stop an entire manufacturing line — almost always justifies continuous monitoring. Assets where failure could cause safety incidents or environmental releases demand the real-time protection that only continuous monitoring provides. Machines with failure modes that develop rapidly (certain bearing cage failures, sudden unbalance from blade or impeller damage, gas turbine and high-speed compressor issues) may not be adequately protected by periodic portable measurements. Remotely located or difficult-to-access equipment — offshore platforms, remote pumping stations, tower-mounted machinery — benefits from continuous monitoring that eliminates the cost, time, and safety exposure of sending technicians for manual data collection. For plants with a mix of asset criticalities, the optimal strategy often combines continuous monitoring for tier-one critical assets with portable monitoring for the balance of plant.
Cloud-Based Monitoring: The SKF Axios Solution
Traditional continuous monitoring systems require significant infrastructure — servers, networking, software installation, and IT support. SKF Axios, developed in partnership with Amazon Web Services (AWS), eliminates this infrastructure barrier to continuous monitoring adoption. Axios is a simple, wireless, and scalable solution: wireless sensors attach to monitored assets, sensor data transmits via gateway to the AWS cloud, and machine learning algorithms analyze the data to detect anomalies and predict failures. The system is backed by a 5-year warranty, emphasizing SKF's confidence in the technology's reliability. Notifications are delivered via web dashboard and mobile app, alerting maintenance teams to developing problems wherever they are located. For organizations that have previously considered continuous monitoring too complex or expensive to implement, Axios represents a step-change in accessibility — bringing the benefits of automated equipment surveillance to a much broader range of industrial assets.