Machine learning integrates one of the branches of Artificial Intelligence, whose main focus is based on giving autonomy to computers to act and/or make decisions without being previously programmed to perform such actions.

When applied to the maintenance function, ML can act as a useful tool for maintenance strategies that are typically based on instrumentation and monitoring of equipment, called Predictive Maintenance.

After implementing ML, it is possible to identify a set of benefits from this technology, some of which overlap with benefits of Predictive Maintenance, namely:

  • Extension of the equipment life cycle
  • Optimization of preventive maintenance actions
  • Automatic data collection
  • Organization of stored information



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