Otherwise, not only do you run the risk of augmenting unscheduled or unplanned downtime (and, in turn, decreasing possible uptime), you also increase the chances of you having to conduct corrective maintenance by installing spare parts and lengthening your workflow, among other things.
In this blog post, we will go through three standard predictive maintenance examples that you can use to fashion your own maintenance management processes and avoid the dangers of reactive maintenance.
What Makes The Perfect Predictive Maintenance Example?
Before diving into a few predictive maintenance examples that we have selected for you, it is important that we first discuss the main element that makes up a good predictive maintenance plan.
It is imperative that your predictive maintenance incorporates some means of measuring the efficiency of the machine which you are evaluating.
In order to implement a predictive maintenance strategy, you will need to install the Internet of Things (IoT) sensors within the assets you want to track.
You can do this by having a column that specifies the ideal score at which the machine should be performing. Next to this column, you can have another one that records the piece of equipment condition which you have registered for that specific machine. Depending on the type of machine being evaluated, this information will be significant. This will let you know whether you need to increase the amount of lubrication needed at maintenance schedules.
For any additional information regarding maintenance tasks and how they ought to be prepared, you can check out our step-by-step blog post on how to create a preventive maintenance program.
While they are different from predictive maintenance templates, this blog post will help you to spot how similar templates can be constructed while allowing you to avoid falling into the trap of framing a predictive maintenance checklist as if it were a preventive maintenance checklist.
Predictive Maintenance Examples
Let’s take a look at a few different predictive maintenance examples, which have been set up using distinct approaches.
Predictive Example #1
Below is an example of Limble CMMS digitized predictive maintenance module, that allows maintenance managers and technicians to easily gather, store, and recover predictive maintenance data set.
After installing sensors into the selected assets, data starts being automatically sent to the software’s database. Through artificial intelligence, automatic predictions regarding equipments’ conditions are made. Since the software has a high-functioning work order module, the database triggers work requests when corrective work is needed.
As you can see on the example above, there are several tasks which have been included, one of them being ‘Vibration Rate high! #15094’. The name of this maintenance activity corresponds specifically to vibration analysis, a procedure which requires the officer carrying out the operation to practice predictive maintenance. This is because vibration analysis, in and of itself, centers around using sensor data to identify abnormalities within a machine’s vibration pattern. With this data collection, one can then use data analytics to measure its operating conditions and then make informed decisions regarding its upkeep.
Here, our focus is on the way that the predictive maintenance program is structured. Having the entire maintenance team being able to access real-time data through an easy to use dashboard saves time and increases productivity.
Predictive Example #2
For organizations who want to start small, or are already used to using paper checklists, the template below, provided by Internal Audit Checklist, is an example of how to set up a predictive maintenance checklist to be manually filled out.
Credits: Internal Audit Checklist
Comprising nine columns, each one represents values that are crucial to determining how effective the condition monitoring procedure that is being undertaken by the technician is.
Of particular note are the columns named ‘Acceptable Limit’ and ‘Measured’ respectively. In the first column, the maintenance technician completing the maintenance checklist has to note what is considered to be the standard set by the company-specific to the machine which they are evaluating. Then, in the next column, they write down the performance rating of the device they are analyzing based on how it has performed in the test they did.
This is very much in keeping with the guidelines specified previously with predictive maintenance work and its corresponding monitoring equipment.
It is important to note that the person completing the checklist has more than one parameter to use in order to measure the performance of the machine. This is significant in cases where each machine that is being measured has various systems that need to be weighted.
This work order features two columns that are of utmost importance, namely the ones labeled ‘Problem Description’ and ‘Lubrication’, respectively. In the section marked ‘Lubrication’, the technician completing the form can input details that document whether the machine is adequately lubricated or not.
Similarly, in the section ‘Problem Description’, the maintenance technician can include a general summary about the problems and defects that they have managed to identify when they analyzed the machinery.
All in all, these two columns allow one to include relevant details regarding their vibration analysis so that any correct measures can be made should the need arise.
Limble CMMs for Predictive Maintenance
Every organization has different maintenance needs and will need personalized PdM strategies. Robust predictive maintenance plans are often needed by organizations operating with complex assets. That’s because reactive maintenance associated with this type of equipment often has significant costs — not only with spare parts but also with unplanned downtime needed.
Choosing which assets to include in the plan is a task that involves study of historical data and trends. Modern CMMS software, such as Limble, helps managers access data to make decisions that bring the highest return on investments (ROI).
That said, depending on the type of organization you operate, a simple set of spreadsheets to keep track of data coming from the sensors won’t be enough to streamline maintenance activities. Instead, you need to leverage a machine-learning platform that enables you to create customized predictive templates that you can use at a moment’s notice to get your operations underway.
Limble CMMS grants maintenance managers, property owners, and anyone in the industry the tools needed to simplify the challenges of maintenance procedures.
The dashboard combines the best of user experience, intuitive, and cutting-edge big data software to deliver a complete asset management solution.
With CMMS software, sensor data instantly populates the dashboard and triggers a request for action when needed. Then, maintenance technicians receive notifications on their mobile phones with the details of what needs corrective maintenance.
With that, maintenance teams avoid the waste of precious work time filling out checklists manually.
Leverage These PdM Examples to Implement a PdM Strategy
Businesses handling complex assets can’t afford to have them going through reactive maintenance if they want to be cost-effective.
To build a powerful predictive maintenance plan, organizations need the right tools at hand.
Leverage a software platform that allows you the flexibility to build and customize your very own predictive maintenance template based on your own requirements.
Limble CMMS offers not only top-notch predictive maintenance technology but also a preventive maintenance module, work request module, spare parts inventory module, analytics reports, mobile app, and more. That allows maintenance professionals to develop bespoke maintenance plans.
Through our platform, you have the unique chance to seamlessly integrate maintenance managerial procedures with tech solutions that allow you to cut down on your expenses, boost maintenance cost savings, and make your real-time operations more effective.
Don’t let it slip away.
Find out more about how you can begin using our CMMS software today to start implementing your own condition-based maintenance plan.
"Limble made my job easier pretty much right off the bat. Now I create Work Orders on the fly. It takes me about 10 seconds."
— Fraser Cockell
Wow. You guys are amazing...
"Wow. You guys are amazing... your software really one-up's the competition. I've found several with some of the functionality, but much clunkier designs. I reviewed 16 CMMS packages, and yours was an easy choice. Thank you again. Well done."
— Loren Overby
Limble CMMS is a great product and is very intuitive
"This CMMS checks many boxes for what we were looking for. Flexible. Mobile App for in the field use. Cost-Effective. Reporting. Great Dashboard. Great Support. Cloud Based. Cost-Effective."
— Roger Beck
Great user friendly product
"Love the fact that the product can be used on my phone, tablet, and laptop. It also has made several updates to make an even better product."
— Dave Stern
I spent a long time evaluating systems I'm so glad I chose Limble
"Limble is super easy to use. For technicians receiving work orders, it requires almost no training. The app makes it quick and easy to create work orders (with pictures) from your phone. PM's are also very easy to set up. Limble is also the least expensive."
— Matt Olson FMP
The best value available in CMMS Software
"This software is very easy to use. All CMMS suppliers say that, but I found this one to be exactly that. This software, in my opinion, is the best value out there in the CMMS world. My team of maintenance techs got on board quickly and loves the app. Anytime you can get 8 of 8 maintenance techs to get on board, you have a winner."
— Mark Quillin
Great Product, Even better support!
"I started using Limble after trying out many other off the shelf CMMS software and I quickly fell in love with the ease of use, intuitiveness yet the power this tool provided me and my team. The ability to see automatically generated and customized reports meant that I could choose whether I wanted to see things at a micro level or a macro one, or both of them together."
— Mohammad Hassaan Akram
A must for any maintenance department
"The thing that I loved the most right from the start was the ease of use of the Limble software. The customization options available when setting up PM's are great. I love the flexibility it gives to tailor the PM to exactly what your needs are."
— Richard Dunaway
I'm amazed with the functionality & customer service
"Executive summary software produces to give me a snapshot of where each contact center is at in preventative maintenance on critical building assets."
— Kris Anderson
Awesome Product with REAL support!
"Our team reviewed & demoed 6 different CMMS companies and the decision was easy! The functionality was extremely easy, but still provides the analytics needed to track our companies time and money spent on maintenance. Their support is top-notch! I've dealt with numerous software companies in my position and can tell you, you will not find one better!"