Sartec has adopted MTell, an Advanced Analytics tool, to predict breakdowns of large machinery in the Sarlux refinery.
The machinery is monitored in real-time thanks to machine learning models, trained to recognise patterns in the data readings preceding equipment failures.
When the likelihood of a failure exceeds the safety threshold, an alarm is sent to the Sarlux team.
The fact that the alarm is activated well in advance of the actual failure occurring allows preventive, as opposed to re-active, management of emerging problems affecting machinery.
• DSA – Digital Safety Advice
• Wireless networks and advanced connectivity
• Decision support systems
• Remote collaboration
• 3D and Digital Twin models
• Asset management solutions
• Smart energy networks
• Predictive models
• Training and Virtual Reality
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