Asset health management: Eliminate downtime with predictive maintenance
ifm's asset health management solutions provide facilities with proven, industrial-grade predictive maintenance solutions. Critical assets in industrial processes operate continuously, making it essential to monitor their health to maximize uptime and overall manufacturing efficiency. Real-time monitoring tools collect machine data and operating conditions, enabling automated predictive maintenance. Our asset health monitoring systems make it easy and affordable to reduce downtime and ensure smoother operations.
Improve production efficiency and maintenance effectiveness:
Machine availability
- Real-time monitoring tools ensure stable production by tracking machine health.
- Predictive alerts with root cause analysis suggest timely repairs.
- Maximizes uptime and reduces costly failures.
Machine performance
- Software algorithms identify performance patterns in machine data.
- Optimizes labor, inventory, and spare parts management.
- Reduces downtime, increases throughput, and meets production goals.
Machine insights
- AI-powered tools provide actionable insights for decision-making.
- Uncovers inefficiencies and identifies process interdependencies.
- Supports production planning, verifies repairs, and prevents misuse.
- Encourages continuous improvement.
The maintenance strategy journey
How far will your predictive maintenance solution take you?
| Route-based monitoring (days) |
Intermittent monitoring (hours) |
Real-time monitoring (seconds) |
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| In-house or outsourced | Outsourced |
In-house with hardware / software partner |
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| Manual data collection with portable devices taken every 30, 60, or 90 days. | Outsourced analysis using cloud-based monitoring with wireless, battery-powered sensors | Real-time, self-managed monitoring with permanently-installed wired sensors for continuous data collection with cloud-based dashboard analytics and vendor support | ||||||||
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| $30,000 to $90,000 for technician equipment and software costs. | Service plans start around $50,000 and can reach +$100,000 per plant annually. |
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Industrial AI Assistant
Track & TraceHow to implement ifm's recommended maintenance approach
Technology to enable predictive maintenance
Monitor equipment with sensors
From simple analog sensors to advanced wireless solutions capable of vibration analysis - ifm offers a holistic approach to asset health.
To increase accuracy of AI models, deploy a suite of smart sensors using various sensing principles to monitor:
- Vibration
- Temperature
- Oil quality
- Pressure
- Flow
By combining these inputs, software systems deliver a holistic view of equipment health, helping to detect anomalies across a wide range of parameters.
Connectivity solutions to collect machine data
IO-Link enables bidirectional communication for real-time data exchange between sensors, controllers, and IT systems while supporting both OT and IT data streams from a single sensor. Its open, vendor-neutral protocol ensures interoperability through the IoT port, leveraging MQTT/JSON for seamless sensor data integration into existing infrastructures. IO-Link also provides direct data ownership, granting full control over sensor insights for strategic decision-making and long-term efficiency gains. Additionally, by enabling direct access to sensor-level diagnostics, IO-Link supports predictive maintenance strategies that enhance operational efficiency across both OT and IT environments.
Analyze machine data with IIoT software
Send sensor data to a software platform to build and train an AI model or leverage a pre-built solution. System-agnostic solutions seamlessly integrate with existing diagnostic platforms, while robust in-house analytics software like moneo is available in both on-prem and cloud models. Receive proactive alerts for critical issues, streamline responses with a built-in ticketing system, and ensure maintenance teams can prioritize and address the most urgent concerns first, keeping operations running smoothly.
Advantages of moneo Cloud
- Quick results with simple implementation.
- Network cabling cost reduction
- Plug-and-work pilot projects
- No-code software solutions
- Regular cloud updates with improvements and new features.
Integration steps
- Divide the production facility into machine zones.
- Install the sensors and IO-Link hardware on the machines.
- Connect the machines in the production line with an ifm edgeGateway.
- Connect the gateway to the cloud via LTE, Wi-Fi or Ethernet.
- Set up dashboard visualization and set parameters for notifications.
- Improve your maintenance processes in real time!
Proven performance:
ifm monitors and analyzes data on 1,300,000 asset health monitoring points worldwide.
Seamless integration:
System-agnostic hardware and software platforms offer seamless interoperability across various PLCs, IT platforms, and industrial networks.
Data ownership:
ifm's unique platform gives customers full ownership of their sensor data, enabling greater control, security, and innovation.
Industry expertise:
With thorough experience across multiple industries, ifm offers targeted expertise optimizing reliability, uptime, and overall equipment effectiveness (OEE).
Get started
Start your maintenance journey and monitor critical assets with ifm's quick condition monitoring solution.
Browse a simple proof-of-concept installation
