Case Studies
Explore how Turbine Logic helps companies like yours optimize the performance of your assets through advanced analytics, diagnostics, and engineering expertise.
A client in the power generation sector recognized that digital twin technologies were being developed inconsistently across their organization, leading to duplicated efforts and challenges in deploying these tools effectively. Without a standardized approach, teams struggled to leverage real-world operational data, create adaptable models, and integrate emerging technologies like AI and machine learning into their workflows.
A client in the power generation sector sought to explore how emerging digital twin technologies could be applied to improve asset reliability and operational intelligence. While the concept of digital twins had gained significant traction across industries, there was uncertainty about which specific applications would deliver meaningful value for their particular equipment and operational challenges.
Other Studies
A client in the power generation industry sought to enhance their operational capabilities through advanced digital modeling of gas turbine assets. The goal was to create a sophisticated monitoring solution that could provide deeper insights into turbine performance and support data-driven decision making.
A power generation operator sought to expand their monitoring and diagnostic capabilities for aeroderivative gas turbines. While digital twin technology had proven valuable for frame-type units, the client needed similar capabilities extended to a different class of equipment, along with support for implementing advanced combustion monitoring techniques.
Gas turbine monitoring and diagnostics centers frequently encounter false alarms that consume valuable time and resources. Many of these false alarms stem from issues within the instrumentation chain: sensors that have drifted, failed, or produced corrupted data during transmission or storage.
A client sought to expand their capabilities in gas turbine performance monitoring and analysis. They needed both educational resources to help their team understand and apply digital twin technology, as well as refinements to calibration software that would meet rigorous quality standards for deployment.
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