Gas Turbine Vane Prognostics Using Baseline Deviation Detection
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Solution Overview
Problem
Turbomachinery components, such as inlet guide vanes and variable stator vanes in gas turbine systems, experience degradation due to dynamic and static forces, thermal changes, and wear, leading to potential maintenance issues and downtime if not properly monitored.
Innovation Solution
A system and method that includes sensors and a controller to monitor and analyze real-time and historical data from dual electric digital positioners, establishing baselines for usage characteristics like current, temperature, and force, and performing preventative actions if deviations exceed thresholds, such as scheduling maintenance or triggering alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional reactive maintenance is used for turbomachinery vane systems, then maintenance costs are reduced in the short term, but system downtime increases and reliability decreases due to unexpected failures
Solution Approach 1:
The system performs preliminary actions by continuously monitoring vane position, actuator current, and system performance parameters to detect early signs of degradation. Baseline performance is established during normal operation, and deviations are detected before they lead to failure, enabling proactive maintenance scheduling that prevents unexpected downtime while avoiding unnecessary maintenance interventions.
2Measurement precision
If continuous monitoring of all system parameters is implemented, then diagnostic accuracy is improved, but system complexity and measurement requirements increase
Solution Approach 1:
The monitoring system leverages existing sensors and controllers already present in the turbomachinery system, making them serve dual purposes: their original control functions and new diagnostic functions. The controller uses existing position sensors, current measurements, and operational data to derive multiple diagnostic metrics including vane position accuracy, actuator health, and performance degradation, thereby improving diagnostic accuracy without adding significant system complexity.
3Reliability
If frequent maintenance intervals are adopted, then system reliability is improved, but productivity and operational efficiency decrease due to increased maintenance downtime
Solution Approach 1:
The maintenance schedule is made dynamic and adaptive based on actual system condition rather than fixed time intervals. The system continuously assesses vane and actuator health through performance monitoring and deviation analysis, adjusting maintenance timing based on actual degradation rates. This allows extending maintenance intervals for healthy components while prioritizing attention for degrading systems, thereby maintaining high reliability while maximizing operational efficiency.
Data Source
AI summary
One embodiment includes a system including an actuation system of a gas turbine system including an actuator, a positioner including one or more sensors, a motor, and a controller communicably coupled to the positioner and the motor. The actuator is coupled to one or more inlet guide vanes (IGVs) or variable stator vanes (VSVs) and configured to move the IGVs or VSVs, the positioner is configured to position the actuator so that the actuator moves the IGVs or VSVs to a desired angle, the motor is configured to drive the actuator, and the controller is configured to establish one or more baselines for one or more types of data obtained by the sensors at initialization of the gas turbine system, derive a deviation from the baselines, and perform a preventative action if a deviation that meets or exceeds a threshold is derived.