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APM Studio enables real-time complex asset monitoring for turbines and their supporting subsystems. This interactive demo shows how steam turbines, gearboxes, lube oil systems, and generators are monitored with sensor data and machine learning models to detect failures before they escalate.
- Predictive maintenance powered by time series and machine learning insights
- Asset model generation from live data streams
- Seamless integration with industrial protocols like OPC UA,Modbus, OI4, Netilion, SQL, and more
All APM Studio Demos

Interactive Demo: Dashboard and KPI Configuration with APM Studio
This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it in solving maintenance and operations problems.

Interactive Demo: Drive System Monitoring with APM Studio
This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it in solving maintenance and operations problems.

Interactive Demo: Starter Drill-Down and Time Series Analysis with APM Studio
This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it in solving maintenance and operations problems.

Interactive Demo: Starter Overview and Alarm Insights with APM Studio
This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it in solving maintenance and operations problems.

Interactive Demo: HVAC System Monitoring with APM Studio
This article explains the concept of Digital Twin, what a Digital consists of and how you can implement it in solving maintenance and operations problems.
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