How to implement predictive maintenance
Implementing a predictive maintenance strategy can be overwhelming, especially when collecting machine data from scratch. But taking the first step towards a structured, data-driven approach to machine maintenance means you can build up an accurate picture of your machine's specific parameters and requirements. In this article, we will explain how to get started with condition monitoring by selecting intuitive, user-friendly products.
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Step 1 - Start simple
When starting out with predictive maintenance, it’s important to start simple and scale up your operations from there. The most important thing is to get to grips with the technology so it can be used effectively, and you have to check that the system you’ve selected is realistic for your business. Opt for systems that are easily set up but scalable, if necessary, without extra cost. SKF Axios are a great option when starting out with predictive maintenance, as they offer a wireless system that collects 3-axis vibration and temperature data to allow users to track anomalies.
Step 2 - Scale up
Once you’ve mastered an entry-level system and need a more in-depth and consistent reading, it may be time to scale up your operations. With systems like SKF Axios you can add many sensors at any time to begin collecting data on multiple machines or machine parts to get a comprehensive overview of your machines health.
Step 3 - Combine easy-to-use systems to get the full picture
Combine data collection with an easy-to-use diagnostic system to get the full picture of machinery health with actionable suggestions of what could be causing abnormalities and how to fix it.
The SKF Quick Collect sensor is perfect for this, as it is a plug-and-play system that quickly measures and assesses data when anomalies are spotted. The sensor attaches magnetically and once readings are taken; it can be moved to any other part of the machine. The kit comes with 24 free pulse checks by experts alongside access to the e-learning platform. The QuickCollect sensor measures velocity, acceleration and temperature, ensuring that the readings are within the pre-set parameters. Results are displayed on the app which can be downloaded to most iOS or Android smartphones or tablets.
If an alert is triggered, the user has the option to send the data to a SKF expert for a pulse check. With 24 pulse checks included with the package, predictive maintenance is made both easy and affordable. Further pulse checks are also available, speak to a member of our sales team to confirm prices.
Step 4 - Benefit from free training
The ACORN product experts can offer training to customers to help get started with condition monitoring, for a limited time ACORN is offering free installation and set-up training with the purchase of any 5-pack of SKF Axios sensors.