CASE STUDIES » ARTIFICIAL NEURAL NETWORKS

Case Studies

Explore how Turbine Logic helps companies like yours optimize the performance of your assets through advanced analytics, diagnostics, and engineering expertise.

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Other Studies

Cycle Model Development for Gas Turbine Fault Diagnostics

A client sought to improve their ability to detect and diagnose equipment faults in their gas turbine fleet before they led to costly unplanned outages. Traditional monitoring approaches were reactive, often identifying problems only after performance had already degraded significantly.

Combustion Dynamics Monitoring Implementation

A power generation company sought to enhance their gas turbine fleet monitoring capabilities, particularly around combustion dynamics. They needed a solution that could provide early detection of anomalous behavior related to instrumentation issues, tuning problems, and potential hardware damage before these issues led to costly unplanned outages or equipment damage.

Hydrogen Fuel Capability Assessment for Legacy Gas Turbine Fleet

A power generation operator sought to understand the feasibility of transitioning their existing gas turbine fleet to operate on hydrogen-blended fuels as part of a broader decarbonization strategy. The fleet included multiple turbine models from different manufacturers, and the operator needed clarity on technical limitations, operational impacts, and facility modifications that would be required to support alternative fuel blending.

Turbine Monitoring and Technical Support Services

A client in the power generation industry sought specialized expertise to enhance their turbine monitoring capabilities and ensure reliable operational support for their rotating equipment assets. The organization needed access to advanced diagnostic tools and experienced engineers who could provide ongoing technical guidance for complex turbine systems.

Legacy Software Modernization for Continued Platform Compatibility

A client faced a growing compatibility challenge with a critical performance monitoring tool that had been in use for years. The software relied on older architecture that was becoming increasingly incompatible with modern computing environments as industry standards evolved.

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