Compressor Water-Wash Advisory System
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Solution Overview
Problem
Current jet engine maintenance schedules for water-washing compressors are often based on time, leading to either excessive fuel inefficiency due to infrequent washing or unnecessary maintenance costs from frequent washing, as they do not consider the actual state of the compressor.
Innovation Solution
A water-wash advisory system that uses sensor data to calculate a health index based on the difference between actual and expected engine performance parameters, generating a notification for water-washing when the health index exceeds a defined threshold, ensuring water-washing is performed only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If water-wash operations are performed frequently based on time-based maintenance schedules, then compressor cleanliness is maintained, but maintenance costs increase unnecessarily
Solution Approach 1:
The system transitions from time-based maintenance scheduling to condition-based scheduling by monitoring engine performance parameters (temperature, pressure, flow rate) and calculating a health index that reflects actual compressor contamination levels. Water-wash operations are triggered when the health index exceeds a threshold, optimizing the balance between maintaining compressor cleanliness and avoiding unnecessary maintenance costs.
2Loss of energy
If water-wash operations are performed infrequently to reduce maintenance costs, then maintenance expenses decrease, but fuel efficiency deteriorates due to accumulated contaminants
Solution Approach 1:
The system continuously monitors engine performance parameters and feeds this information back to calculate the health index. This feedback mechanism enables real-time assessment of compressor contamination levels, allowing the system to determine the optimal moment for water-wash operations to maintain fuel efficiency while minimizing unnecessary maintenance interventions.
Solution Approach 2:
The system enables the engine to self-diagnose its own condition by monitoring its own performance parameters and calculating its own health index. This self-service approach allows the engine to identify when it requires maintenance without external intervention, optimizing the timing of water-wash operations to maintain fuel efficiency.
3Ease of operation
If time-based water-wash schedules are used, then maintenance planning is simplified, but fuel costs increase due to extended periods of fuel-inefficient operation
Solution Approach 1:
The system replaces static time-based maintenance schedules with dynamic condition-based scheduling. The health index continuously adapts to reflect actual compressor contamination levels, allowing maintenance planning to respond dynamically to real engine conditions. This dynamic approach optimizes fuel efficiency by performing water-wash operations based on actual need rather than fixed time intervals.
4Reliability
If frequent water-wash operations are performed, then compressor performance is maintained, but maintenance resource utilization increases
Solution Approach 1:
The system performs preliminary assessment of compressor condition through continuous monitoring of engine performance parameters and health index calculation. This preliminary action enables proactive scheduling of water-wash operations only when contamination levels warrant intervention, optimizing the balance between maintaining engine performance and efficient use of maintenance resources.
Data Source
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AI summary
A compressor water-wash advisory system (302) generates compressor water-wash notifications or initiates on-line water-wash cycles for a gas turbine or turbofan jet engine based on monitored health parameters of the engine. A high-fidelity model of engine compressor performance defines nominal expected values of engine performance parameters, such as compressor efficiency and air flow, as a function of current operating conditions. A tracking filter component (308) compares the modeled performance parameters with actual calculated performance parameters obtained from sensor data, and maintains a separate actual model of engine performance that modifies the nominal performance parameter values to match the calculated parameter values using parameter modifiers. A health index is derived (1112) as a function of the parameter modifiers, and a water-wash notification is generated (1118) when the health index is indicative of a significant loss of fuel efficiency due to dirt accumulation in the engine's compressor.