Avoid unplanned downtime by detecting and diagnosing impending machine failures.

Every second of machine downtime costs your business money. But with Condition Monitoring and digital technology, you can proactively find and diagnose problems before they can have an effect, and better organize and prioritize repairs.

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Condition Monitoring

Condition Monitoring is the process of determining the condition of machinery while in operation. The keys to a successful Condition Monitoring programme include:

  • Knowing what to listen for
  • How to interpret it
  • When to put this knowledge to use

This enables the repair of problem components before they fail. Not only does this help plant personnel reduce the possibility of catastrophic failure, but also allows them to order parts in advance, schedule manpower and plan other repairs during the downtime.

Why would this help me?

Condition Monitoring is an important element in the maintenance strategy of most major industrial plants. 

The CM process involves measuring physical parameters that indicate a machine’s health. Departures from normal are detected and analysed with corrective actions then determined. Understanding what parameters to measure and how to apply this to your machine lifecycle management is where new value is discovered.

You can work with us to define what machines to measure, with which tools, and how to use that data for improving maintenance strategies and plant performance.

SKF Condition monitoring

Discover the SKF way

The three major steps in a condition monitoring system are data acquisition, data processing, and data assessment for maintenance decision-making, fault diagnostics and prediction. Click on the link to read some examples of potential faults that can be eliminated with these steps.

 

Remote Diagnostic Services

Our RDS programme enables world-class predictive maintenance for any industry, anywhere worldwide with cloud connectivity that enhances performance and value.

SKF Rotating Equipment Performance connecting across your needs:

Digitalization, cloud and Big Data: the manufacturing revolution

Innovations in digitalization, like the cloud, Big Data, and devices connected to the Internet of Things (IoT) will transform how machines are operated, managed and maintained. SKF has the digital products, software, services and analytics capabilities to help you make tangible progress towards your digitalization ambitions.

We can help you gain visibility of the health of your equipment and to turn data into performance-driving insights, allowing your business to be more agile, deliver greater output, and optimize safety and sustainability.

SKF Enlight QuickCollect sensor

Machine data. Collect it, interpret it, benefit from it. Learn how SKF Enlight QuickCollect connects via apps to mobile devices and the cloud.

Explore Rotating Equipment Performance further.

There are four more areas where SKF can help you maximize savings and improvements. With different service levels to choose from, you can retain a product-based purchasing approach or evolve to a performance-based one. Either choice can give you access to the latest connected technologies and services without the need for large capital investment.

Assess

Through detailed analysis of your machinery, asset management and processes, we can help minimize unscheduled breakdowns, maximize the effectiveness of your equipment, boost your profitability and improve safety.

Maintain

Explore a range of products and services that are not only perfectly suited to your machinery, but that also help you keep pace with technology and comply with environmental and safety requirements.

Solve

Through management of spare parts and lubrication, root cause analysis and application engineering, you can resolve problems and minimize the chances of them re-occurring.

Rebuild

By utilizing a full suite of remanufacturing options, you can rebuild key components in a way that cuts maintenance costs, improves ongoing reliability, maximizes uptime and reduces environment impact.