CASE STUDIES » BAYESIAN HIERARCHICAL MODELS

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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PERFORMANCE RELIABILITY TECHNICAL ADVISORY
HYDROPOWER
ANOMALY DETECTION ARTIFICIAL INTELLIGENCE ARTIFICIAL NEURAL NETWORKS ASSET MANAGEMENT BUSINESS ANALYTICS INTEGRATION COMPUTATIONAL FLUID DYNAMICS CONDITION-BASED MAINTENANCE DATA ANALYTICS DIGITAL TWIN DEVELOPMENT FAILURE MODE ANALYSIS FAULT CLASSIFICATION FINITE ELEMENT ANALYSIS
Digital Twin Strategy Development for Power Generation Assets

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.

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Hydrogen Fuel Blend Performance Analysis for Gas Turbines

As the energy industry increasingly explores low-carbon solutions, many organizations are evaluating the feasibility of combusting hydrogen or hydrogen-blended fuels in existing gas turbine assets. Understanding the performance implications of varying hydrogen content is essential for making informed decisions about fuel transitions, but these impacts are often non-obvious and require sophisticated analysis.

Gas Turbine Digital Twin Development and Deployment

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.

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.

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.

Sensor Health Monitoring for Gas Turbine Operations

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.

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