Helicopter Engine Health Monitoring for Pilot Action Decoupling
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Solution Overview
Problem
Current methods for monitoring the health of a helicopter engine often generate false alerts due to unrecorded pilot actions, which are misinterpreted as changes in engine state, leading to unnecessary servicing.
Innovation Solution
A system that collects and analyzes data from engine and external sensors during stable flight phases, compares it to a reference model, and differentiates between changes caused by pilot actions and actual engine state changes by calculating and correcting for offsets and residuals, allowing for accurate detection of non-recorded pilot actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional engine health monitoring methods are used that compare engine inputs and outputs with a reference model, then engine state changes can be detected, but false alerts are generated due to unrecorded pilot actions being misinterpreted as engine changes
Solution Approach 1:
The patent segments the residual signal into distinct portions: a first portion attributed to pilot actions and a second portion attributed to engine state changes. This segmentation allows the system to differentiate between temporary deviations caused by pilot maneuvers and genuine engine health issues, thereby reducing false alerts while maintaining accurate engine state detection.
Solution Approach 2:
The patent applies preliminary filtering and identification actions to the residual signal before final engine state determination. By预先 identifying and removing the portion of the residual signal corresponding to pilot actions, the system prepares a cleaned signal for more reliable engine state assessment, preventing false alerts from contaminating the diagnosis.
2Loss of information
If the system monitors all engine variables continuously, then comprehensive engine health data is obtained, but the system cannot distinguish between pilot actions and actual engine faults
Solution Approach 1:
The patent segments the monitored information into two categories: pilot action indicators and engine state indicators. By dividing the residual signal into distinct portions corresponding to each category, the system preserves complete engine health information while enabling precise differentiation between pilot-induced variations and genuine engine faults.
Solution Approach 2:
The patent dynamically adjusts the analysis by identifying temporal patterns in the residual signal that distinguish pilot actions from engine faults. The system adapts its interpretation based on the characteristics of the deviation, allowing comprehensive monitoring while maintaining high fault detection accuracy through dynamic signal characterization.
Data Source
AI summary
A system monitors the health of a helicopter, and includes a device for determining a change of state of the engine and is configured to collect data measured by engine and external conditions sensors during a stable flight phase and to process the measured data.