Aircraft Engine Noise Visualization for Multi-Dimensional Diagnosis

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Solution Overview

Problem

Existing graphical tools for diagnosing aircraft engine noise lack effective visualization and interaction methods for analyzing noise data across multiple dimensions, making it difficult to identify maintenance needs and noise sources.

Innovation Solution

A graphical diagnostic tool for aircraft engines that includes a selection element for choosing data dimensions, a toggle element for alternating configurations, increment elements for adjusting data values, and reference markers for setting reference values, allowing for interactive visualization and analysis of noise data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If existing graphical tools are used for diagnosing aircraft engine noise, then basic noise visualization is provided, but effective visualization and interaction methods for analyzing noise data across multiple dimensions are lacking

Engineering Contradiction:
Improvenoise data analysis capabilityVSAvoidgraphical tool complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The graphical diagnostic tool segments noise data analysis into multiple independent data dimensions (time, frequency, amplitude) that can be selected and visualized separately. Each dimension can be independently controlled through selection elements, allowing analysts to focus on specific aspects of noise data without being overwhelmed by all dimensions simultaneously.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The tool enables visualization of noise data across multiple data dimensions by allowing users to select and switch between different dimensional representations. The toggle element facilitates switching between first and second configurations of data dimensions, effectively adding dimensional flexibility to the visualization without increasing physical device complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If interactive visualization elements are added to enable multi-dimensional noise data analysis, then diagnostic capability is improved, but device complexity increases

Engineering Contradiction:
Improvenoise data visualization flexibilityVSAvoidgraphical tool structure
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The graphical diagnostic tool incorporates universal selection elements that can select from multiple data dimensions (time, frequency, amplitude) and visualize them in various configurations. The toggle element provides multi-functionality by allowing switching between different data dimension configurations, enabling a single tool to adapt to various diagnostic needs without requiring multiple specialized tools.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The tool employs dynamic elements including a toggle for alternating between configurations, increment elements for adjusting data values, and reference markers for setting reference values. These dynamic components allow the visualization to adapt and change based on user interaction, providing versatility while maintaining a unified tool structure rather than requiring multiple static tools.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP3882724B1Aircraft engine graphical diagnostic tool and respective method
Publication Date: 2025.04.23 PRATT & WHITNEY CANADA CORP
  • EP3882724B1 patent drawingFigure 1
  • EP3882724B1 patent drawingFigure 2
  • EP3882724B1 patent drawingFigure 3

AI summary

The present disclosure provides an aircraft engine graphical diagnostic tool (200), as well as a method (300) and electronic device (150) for operating the same. The graphical diagnostic tool (200) comprises an input element (220) configured for obtaining a data value for a first data dimension, and a visualization element (210) having at least two dimensions . The visualization element is configured for presenting a dataset for at least second and third data dimensions associated with the first data dimension. The dataset presented by the visualization element is selected based on the data value for the first data dimension.