Aircraft Engine Noise Visualization Using Time-Selectable 2D Diagnostics
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Solution Overview
Problem
Current graphical tools for diagnosing aircraft engine noise lack effectiveness in visualizing noise levels, particularly in identifying maintenance needs and discomfort sources, and do not efficiently present multi-dimensional noise data.
Innovation Solution
A graphical diagnostic tool with an input element for obtaining a data value for a first dimension and a visualization element displaying at least two dimensions, allowing users to interactively visualize and analyze noise data across three dimensions (amplitude, frequency, and time) using a two-dimensional display and one-dimensional input element, enabling detailed analysis without requiring a three-dimensional plot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a three-dimensional plot is used to display noise data across amplitude, frequency, and time dimensions, then all noise data dimensions can be visualized simultaneously, but the device complexity and difficulty of operation increase significantly
Solution Approach 1:
The noise data visualization is segmented into two parts: a primary two-dimensional display showing amplitude versus frequency, and a separate time dimension control mechanism. This allows the complex three-dimensional data to be broken into manageable components that can be interacted with separately, reducing overall system complexity while preserving all information dimensions.
Solution Approach 2:
A cursor or selection mechanism acts as an intermediary between the user and the three-dimensional noise data. The cursor allows users to select specific time points along the time dimension, which then updates the two-dimensional amplitude-frequency display. This intermediary simplifies the interaction model while maintaining access to all three dimensions of noise data.
2Loss of information
If a three-dimensional plot is used to display noise data, then complete noise data can be visualized, but the ease of operation decreases due to increased complexity
Solution Approach 1:
The visualization is segmented so that the two-dimensional amplitude-frequency plot remains simple and intuitive for users, while the time dimension is handled through a separate, straightforward control mechanism. This segmentation maintains ease of operation for the primary display while still providing access to complete three-dimensional noise data.
Solution Approach 2:
The cursor serves as an intuitive intermediary that users can easily manipulate to explore the time dimension. By moving the cursor along the time axis, users can selectively update the amplitude-frequency display, providing an easy and natural interaction model that doesn't require understanding complex three-dimensional plotting conventions.
3Ease of operation
If traditional graphical tools are used for noise visualization, then the interface remains simple, but the effectiveness in identifying maintenance needs and discomfort sources is reduced
Solution Approach 1:
The diagnostic tool segments the noise analysis by allowing users to focus on two-dimensional amplitude-frequency relationships while maintaining the ability to probe the time dimension when needed. This segmentation preserves interface simplicity for routine analysis while providing enhanced diagnostic capability when maintenance needs or discomfort sources require investigation.
Solution Approach 2:
The cursor acts as a diagnostic intermediary that enables targeted analysis of noise characteristics at specific time points. By positioning the cursor at relevant time instances, users can extract detailed amplitude-frequency information that aids in identifying maintenance needs and discomfort sources, thereby enhancing diagnostic effectiveness without complicating the overall interface.
Data Source
AI summary
The present disclosure provides an aircraft engine graphical diagnostic tool, as well as a method and electronic device for operating the same. The graphical diagnostic tool comprises an input element configured for obtaining a data value for a first data dimension, and a visualization element 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.