Predictive Maintenance (PdM) relies on conducting maintenance based on trends within equipment data, and is a highly-accurate way of using data to cut maintenance costs. With cloud technology and condition-based monitoring, a computerized maintenance management system (CMMS) such as eMaint, can develop accurate predictions when a piece of equipment will require maintenance or replacement. Whether you need to track assets through oil viscosity, temperature or vibration, a CMMS with predictive maintenance can help organizations of all shapes and sizes.
In BetterBuys.com’s article “CMMS and Beyond: The Highest Standard of Predictive Maintenance” pressing questions about predictive maintenance are answered, such as: what is predictive maintenance, exactly? We’ve included some highlights below, or you can read the full article here.
PdM Provides “a Refined View of Your Assets”
There are a lot of variables that can cause your assets to degrade. With the power of CMMS, you can track and observe these variables and take action to maintain your equipment on a set schedule. If you measure your assets and variables consistently, you can reduce uncertainty and stay ahead of failures. The refined picture created by CMMS solutions such as eMaint gives you time to order parts ahead of time, and prepare for upcoming maintenance.
PdM Plots Patterns of Wear
The purpose of plotting patterns of wear (either with a CMMS, or a technician manually taking note) is to get all of the usage from an asset before failure, then making a repair vs. replace decision on schedule, so downtime is not an issue. Predictive maintenance helps eliminate guess work from the equation, but if it is being performed manually, there is more math required.
Where CMMS Fits In
A good CMMS serves to store and analyze data taken from the condition of assets, and becomes predictive when connected to the algorithms and features capable of analyzing the data. For systems like eMaint, the data is then presented in a useful way for the customer.
To further the connection between CMMS and preventive maintenance, here is a quote by Rona Palmer, Marketing Director at eMaint, from a BetterBuys.com article:
“A trend we’re seeing is an increased utilization of predictive technologies with more customers wanting to incorporate that data into their CMMS. With preventive methods, you’re spending resources on equipment to prevent failures that may or may not occur. Predictive technology uses monitoring devices that tell you when you need to make repairs. Rather than change your oil because you’ve driven 3,000 miles, change your oil because you have the technology to analyze it and tell you it needs to be changed. For predictive maintenance to be effective, it requires both hardware to monitor the equipment and software to generate the corrective work order when a potential problem is detected. As the hardware becomes more affordable and the benefits understood, we see more clients incorporating predictive maintenance technologies.”