Artificial Intelligence to fully exploit available data for asset improvement

• Deep learning techniques for the automatic recognitions of faults and anomalies
• Machine learning techniques for robust and reliable predictions
• Statistical techniques for system Reliability Estimations.
• Advanced computational methods for performance evaluation of reliable, safe and resilient production and service systems