Smarter maintenance decisions
our advanced machine learning algorithms analyze data from all sources, identify anomalies, and predict failures before they occur - by training data helps your maintenance teams make the right decisions for optimum maintenance in real time.
Trends & correlation
identify complex relationships between process parameters and the condition of asset health with artificial intelligence and machine learning advanced analytics.
Seamless integration
integrate TT PSC's AI based predictive maintenance solution with any existing systems and enable automated monitoring and detection of operational patterns to maximize equipment uptime and maintain critical assets by avoiding potential failures.
Real-Time Monitoring & Alerts
create alerts indicating the remaining useful life of assets based on AI and machine learning technology and be able to continuously be monitoring of machine performance on the shop floor.
Prevent equipment failures
define and detect critical points on the production line and get real-time recommendations long before issues and unplanned downtime occur to support maintenance schedules.