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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