Start benchmarking your MRO inventory with this cycle count template. There are several key elements to predictive maintenance with technology and software being one of these critical pieces. Namely, the Internet of Things IoT , artificial intelligence , and integrated systems allow for different assets and systems to connect, work together and share, analyze, and action data.
These tools capture information using predictive maintenance sensors, industrial controls, and businesses systems like EAM software and ERP software. They then make sense of it and use it to identify any areas that need attention. Some examples of using predictive maintenance and predictive maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.
Ready to pitch some new tech? Get your free presentation template here. Choosing the correct technique for performing condition monitoring is an important consideration that is best done in consultation with equipment manufacturers and condition monitoring experts. When predictive maintenance is working effectively as a maintenance strategy, maintenance is only performed on machines when it is required. That is, just before failure is likely to occur. This brings several cost savings:.
These cost savings come at a price, however. Some condition monitoring techniques are expensive and require specialist and experienced personnel for data analysis to be effective. See if an asset is a match for PdM with this asset criticality analysis template.
Compared with preventive maintenance, predictive maintenance ensures that a piece of equipment requiring maintenance is only shut down right before imminent failure. This reduces the total time and cost spent maintaining equipment.
Performance — ability to do the intended applications in your work environment. Ease of Operation — includes new plant engineer learning curve considerations. Ruggedness — will it stand up to day-to-day rough handling? Ergonomics — hand fatigue, 1 or 2 handed operation, weight, etc. Battery Life — life cycle; if rechargeable, frequency and duration of recharging.
Growth path — separate devices for different applications or multipurpose device? Recalibration — how often does it need to go back to the factory, if ever? If so, cost? Management reporting capability — does the IT department need to get involved? Training — as plant engineers come and go, how hard is it to get up to speed? You need several pieces of technology to capture all this data, store it, and make sense of it.
We explored the most common of these technologies here. Instead, it should supplement your overall maintenance program. But there are some serious benefits to having one, like a more reliable operation that allows everyone at your organization to grow and be more efficient. Taking advantage of those benefits relies on building on key maintenance fundamentals.
Get the guide. A simple guide to building a predictive maintenance program Last Updated: April 2, Marc Cousineau 5 min read Back to blog. Table of contents A short refresher on predictive maintenance The six pillars of a predictive maintenance program How to build a predictive maintenance program Predictive maintenance: Part of a balanced strategy. Check out the four secrets to better inventory management Watch the video.
Find out where predictive maintenance fits in your overall maintenance strategy Read more. Want to see Fiix in action? No problem. You can try it today. Free tour. All Rights Reserved. Privacy Policy Site Map.
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