SciFailure
The ultimate AI solution for predictive maintenance
The problem
-
The rapid advancement of sensor and network technology has brought about a notable increase in the availability of sensor data such as vibration, temperature, pressure.
-
Timely and adequate maintenance actions are crucial for the operation of industrial equipment as they can significantly improve the availability, reliability, and safety of the equipment and minimize failures.
-
Traditional scheduled maintenance methods are often inefficient, inaccurate, costly, and prone to human-induced errors.
The solution
SciFailure is a cutting-edge, cloud-based software harnessing AI to predict and proactively address potential failures, ensuring efficient maintenance.
Leverages frontier science in advanced mathematical methodologies and Artificial Intelligence.
Provides interactive visualization and analysis tools to support performance, monitoring, diagnosis and maintenance, increasing the reliability of the underlying operation and the availability of equipment to the desired levels of annual productivity.
Benefits
With SciFailure, you can:
Support decision-making in real time.
Predict equipment health state.
Detect anomalies and forecast non-planned stops.
Help operators work more efficiently.
Failure diagnostics.
Increase profitability and the life span of equipment.
Ensure sustainable operational management.
Features
Condition-Based Maintenance (CBM)
Prognostics and Health Management (PHM)
Remaining Useful Life (RUL)
Data-driven learning and improvement
User-friendly interface and dashboard
