Predictive maintenance tools! Are they worth it?

Anybody who has been working in power plants or any manufacturing plant would have come across terms such as Preventive maintenance (like plan the outage based on fix time intervals), or Reactive maintenance (perform activity after failure occurs), or Predictive maintenance (perform only based on indicators). If you are among this group, most likely you would also have also faced/heard the question: Is investment in additional predictive maintenance (PdM) tools worth it?
Benefit of PdM

You probably may have heard all about the benefits of predictive maintenance before. But If you have only heard and could not understand what is this, then let us break it down for you! Proponent of PdM points to two key benefits: 1) saving of un-necessary inspection/repairs resulting in more lifetime and less expenses, and 2) reduction in downtime. On the other hand, reactive maintenance (RM) comes with high costs and it doesn’t avoid downtime.

So IF predictive maintenance can eliminate hours of downtime, it might pay for itself with higher outputs and reliability. As an example, here’s the average unplanned downtime in the Oil and Gas Industry:

 

Source: Oden Technologies

Challenges in PdM

So first question you have to ask yourself: is extra 1-2% gain in availability/utilization worth the money you will be spending?. Second and most importantly, you have to ensure that the tools and system you will implement should be really able to detect failures accurately and avoid breakdowns.

Any body working in this field would know that the Predictive maintenance is more targeted, but it isn’t foolproof. How accurate is it? What’s the likelihood of predicting failures? And can you predict them with enough time?. All of it depends upon what you buy and how much initiative you take in successful implementation!

How PNES can help
In case, you have made the decision to implement PdM strategy in your plant and are unsure of what you need, we can help in selecting the best asset management tools based on your ground situation and requirement. Whether it is maintenance management software such as CMMS, Internet of Things (IoT) predictive maintenance tools, or Enterprise Resource Planning (ERP)/Enterprise Asset Management (EAM) software.

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