Anomaly Detection – Industrial Sector
Description
A service based on the use of Big Data and Artificial Intelligence technologies, leveraging massive data from machines, sensors, planning and production systems. Using predictive analytics and machine learning techniques, this service analyzes the correlation between recent and historical events to detect anomalous data or identify patterns that may be linked to problems or unusual events.
Competitive Advantages
Anomaly detection services enable companies to implement preventive and predictive maintenance strategies. These types of solutions help prevent unexpected downtimes and minimize machine inactivity time on production lines.
Applications
This type of solution is oriented towards companies in the industrial sector. Example applications include:
- Detection of faults in machine sensors
- Identification of abnormal patterns or behaviors
- Prediction of machine shutdowns
Classification
Technology Areas:
- Artificial Intelligence and cognitive systems
- Data mining, Big Data, database management
- Simulation and modelling
Categories:
- Concept validation and prototyping
- Testing and validation
Keywords
Big Data, Artificial Intelligence, predictive analytics, Machine Learning, sensors and IoT, predictive maintenance, preventive maintenance
