Hi guys, as an intern in a manufacturing company, I realised engineers tend to be reactive to equipment failures (except for scheduled maintenance) such that actions will only be taken when there are alarms. However, when a warning alarm triggers, it could be a case where the equipment is going to fail/already failed which could affect process uptime. I was looking online and found this product called aspen mtell, realising its potential to deliver promising result by using plant data for Machine learning and AI such as giving failure warning up to 60 days in advance so that engineers have time to prepare and perhaps correct the potential failure even before it fails. This saves a lot of money and improves system reliability.
From a reddit thread i saw, this product has been around since 7 years ago. I am wondering if any of you all have experience in using or implementing it in the company, and how has the performance been? Also, what are the phases one should go about implementing this?
Thanks for your contribution!