Shanghai Electric applies industrial AI across gas turbine lifecycle
Shanghai Electric is integrating industrial AI into the manufacturing, inspection, operation and maintenance of heavy-duty gas turbines. The company says the systems connect engineering expertise with production and operating data across the equipment lifecycle.
- Shanghai Electric is applying AI across gas turbine manufacturing and lifecycle services.
- Its blade production line supports mixed-model manufacturing and automatic changeovers.
- The company reports picking accuracy above 99.99% for its AI-guided system.
- An AI inspection terminal monitors welding and returns results within seconds.
- The SIMPLE platform draws on more than 60 turbine units and over 1 million operating hours.
AI-enabled blade manufacturing
Shanghai Electric’s flexible manufacturing line is designed to produce different gas turbine blade models and support automatic changeovers. It combines AI vision, digital twins, intelligent scheduling and robotics to handle mixed-model production.
Using 3D vision and AI, the system identifies blade blanks in randomly stacked piles before picking and positioning them. According to Shanghai Electric, picking accuracy exceeds 99.99%.
The line links production scheduling, manufacturing execution and quality management systems across loading, machining, inspection and final packing. It can also switch between fully automated production and standalone machine operation, which the company says helps support production continuity.
AI monitors welding quality
The company has also developed an AI-based visual inspection terminal for large, critical components such as rotors. The system combines AI, robotic control and welding expertise to monitor welding operations in real time and identify quality defects at an early stage.
Its embodied AI architecture combines a collaborative robot with a custom end effector. Shanghai Electric says the robotic arm can extend and retract at the touch of a button and automatically adapt to the welding cycle. Using 5G connectivity, the system completes image analysis and returns inspection results within seconds.
A data feedback loop connects shop-floor observations with process optimization and quality traceability. The company says this allows practical manufacturing experience to be retained and reused as digital knowledge.
Data supports long-term turbine maintenance
Shanghai Electric’s SIMPLE intelligent operation and maintenance platform uses data from more than 60 turbine units and over 1 million cumulative operating hours. It combines AI with knowledge of gas turbine operating principles for real-time performance monitoring, dynamic optimization and early warnings of potential faults.
Through cloud-edge coordination, the platform links design and operating data in a workflow covering monitoring, warning, diagnosis and corrective action. Shanghai Electric says this supports a move from reactive repairs toward proactive maintenance.
Remote collaboration tools allow experts to view live footage from plant sites and provide guidance through augmented reality annotations. The company plans to continue integrating data across the gas turbine lifecycle and to validate and refine these capabilities in real-world international projects.
