Adaptive Engine Control Module for Vibration-Based Degradation Detection
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Solution Overview
Problem
Current engine control systems rely on design-based operational limits and offline analysis, which can lead to inefficient operation and delayed detection of component degradation due to manufacturing variances and lack of real-time vibration data, resulting in excessive vibration and reduced performance.
Innovation Solution
An adaptive control module that receives vibration signals from engine sensors to determine power demand signals based on actual operating conditions, establishing operational limits specific to each engine's unique vibration signature, allowing for real-time control and maintenance optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If design-based operational limits are used for engine control, then manufacturing tolerances are accounted for, but real-time detection of component degradation is delayed
Solution Approach 1:
The system performs preliminary action by establishing engine-specific operational limits during a baseline run before normal operation. Vibration signatures are captured and analyzed to create customized limits that account for manufacturing variances. This preliminary characterization enables immediate real-time detection during subsequent operation without time delays.
Solution Approach 2:
The system implements continuous feedback by monitoring vibration signals in real-time during engine operation and comparing them against the engine-specific operational limits. When vibrations exceed these customized thresholds, the system immediately alerts operators to potential component degradation, enabling timely intervention.
2Reliability
If design-based operational limits are used, then general engine specifications are maintained, but excessive vibration occurs due to manufacturing variances
Solution Approach 1:
The system applies local quality by transitioning from universal design-based limits to engine-specific operational limits. Each engine's unique vibration signature, influenced by its specific manufacturing tolerances and component characteristics, is captured during a baseline run. This creates customized vibration thresholds tailored to each individual engine's local characteristics, eliminating excessive vibration caused by applying generic limits.
Solution Approach 2:
The system implements parameter changes by dynamically adjusting operational limits based on measured vibration parameters from each engine. Instead of using fixed design-based parameters, the system learns and adapts to the actual vibration characteristics of each engine, modifying the operational thresholds to match the specific engine's behavior and minimize harmful vibrations.
3Loss of information
If offline analysis of performance data is used, then expert review is possible, but real-time control and optimization are reduced
Solution Approach 1:
The system implements continuous real-time feedback by monitoring vibration signals during engine operation and immediately comparing them against engine-specific limits. This eliminates the delay inherent in offline expert review while maintaining thorough analysis capabilities, enabling both real-time control and comprehensive performance evaluation.
Solution Approach 2:
The system performs self-service by automatically analyzing vibration data and making real-time control decisions without requiring continuous expert intervention. The automated system characterizes each engine's unique signature and continuously monitors performance, freeing experts to focus on complex diagnostic tasks while maintaining productive real-time control.
Data Source
AI summary
The disclosure includes a system that includes an adaptive control module for an engine. The adaptive control module is configured to receive a power input signal and receive, from an engine vibration sensor, a vibration signal indicative of an operating condition of the engine. The adaptive control module is further configured to determine, using a set of control laws, a power demand signal based on inputs including the power input signal and the vibration signal. The adaptive control module is further configured to output the power demand signal to at least one component of the engine.