We are one of the first companies in the world to use in our facilities the innovative solution Amazon Lookout for Equipment, from Amazon Web Services (AWS).
This technology uses machine learning models developed by AWS to help companies to perform large-scale predictive maintenance in industrial facilities.
HOW DOES AMAZON LOOKOUT FOR EQUIPMENT WORK?
Amazon Lookout for Equipment ingests sensor data from industrial equipment (e.g. pressure, flow rate, RPMs, temperature, and power), and then it trains a unique machine learning model to accurately predict early warning signs of machine failure or suboptimal performance using real-time data streams from the equipment. With this cloud-based technology, equipment abnormalities are detected with speed and precision, quickly diagnose issues, reduce false alerts, and avoid expensive downtime by taking action before machine failures occur.
We are already using -from 2021- this technology at our refineries La Rábida (Huelva) and Gibraltar-San Roque (Cádiz) with good results. Specifically, focusing on detecting and predicting anomalies in rotating equipment, such as pumps or compressors.
Traditionally, to analyze the data from their equipment most companies typically used simple rules or modeling approaches to identify issues derived from past performance. However, the rudimentary nature of these approaches often leads companies to identify issues after it is too late to take action, or receive false alarms based on misdiagnosed issues that require unnecessary and timely inspection. Today, this technology from AWS built around machine learning techniques allows companies like Cepsa to quickly identify anomalies and learn the unique relationships between the historical data of equipment in a single facility or across several sites.