How do you know when you’re ready to take advantage of software like Senseye to automate the analysis of condition monitoring data from your machinery?
Change is uncomfortable, implementing new technology, and the associated process change and cultural changes bring significant challenges as well as benefits, even if all goes smoothly. Whilst manually analysing Condition Monitoring is useful, moving to fully automate analysis allows factory and organisation-level scalability. It’s important to be sure that the correct systems and assets are in place to support this new way of operating.
Here are some questions to ask before taking the next step:
- What is the monetary value of improving our maintenance?
- How reliable do we need to be?
- Which are our critical assets?
- Are we collecting the correct data, in an appropriate format?
- Do we have the correct people to help us transition to predictive maintenance?
For help with these essentials, check our article “Are you ready to forecast machine failure?” for a handy checklist.
What are the next steps?
Start with something manageable - try a pilot program. Identify known machine that requires a constant level of monitoring and set up a small test to continuously capture and analyse the data. This will help you to develop an appropriate workflow and build up the internal culture necessary to take advantage of this change in practise, before you scale it up to the entire factory.
4 good reasons to transition to fully automated analysis
- Safety (to the processes and equipment)
In applications where failure is not an option, there is always built-in redundancy. However, monitoring is typically resource intensive. What happens when these resources are absent or distracted?
Automating condition monitoring allows your experts to concentrate on the interesting problems and be freed from repetitive tasks.
With manual analysis, there’s a (relatively low) limit on the number of machines that can be effectively monitored – and at great expense. Automated analysis allows for true factory and facility-wide scalability.
With the ability to provide performance guarantees based on increased confidence in machine availability, greater sales opportunities arise and even the possibility to change your market offering through Servitization, for example moving to supply ‘service reliability’ rather than a product.
In summary, transitioning to fully automated condition monitoring may require:
- Improving data acquisition and management
- Evolving your organisational maintenance culture
- Additional short-term investment
However if done successfully, it does bring the benefits of:
- A reduction in unplanned downtime
- Improved scheduling and product delivery
- Safer, more reliable, operation
Find out more
Interested in automating your condition monitoring? Senseye is a truly automated solution, using the latest techniques in machine learning to help you to reduce downtime and forecast machine failure.
Book your no-obligation demo of Senseye to see for yourself!