Frictional Interference Detection in Vehicle Electric Motors
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Solution Overview
Problem
Current methods for identifying frictional interference in aircraft flight control members are time-consuming, require skilled technicians, and often involve replacing components without accurately diagnosing the issue.
Innovation Solution
A method using a Fast Fourier Transform (FFT) to analyze vibrations from mechanical components driven by an electric motor, determining frictional interference by comparing current draw and vibrational frequencies against predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians disassemble and inspect transmission system elements manually, then diagnostic accuracy improves, but time consumption and labor skill requirements increase
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated electronic diagnostic system that uses vibration sensors and FFT analysis to detect frictional interference. The system automatically measures vibration frequencies and compares them against threshold values, eliminating the need for technicians to manually disassemble and feel components, thus reducing both time and skill requirements while maintaining diagnostic accuracy
Solution Approach 2:
The diagnostic system enables the transmission system to self-diagnose its own condition through automated vibration monitoring. The system continuously monitors vibration levels and automatically identifies frictional interference without requiring external technician intervention, allowing the system to detect and report issues autonomously
2Reliability
If technicians replace transmission components to ensure issue resolution, then reliability improves, but cost and time consumption increase
Solution Approach 1:
The patent segments the diagnostic process to identify specific frictional interference issues in the transmission system through vibration analysis. By analyzing vibration frequencies from different components, the system can pinpoint the exact source of the problem, allowing for targeted repair or replacement of only the affected component rather than replacing entire transmission assemblies, thus reducing cost while maintaining reliability
Solution Approach 2:
The system monitors changes in vibration frequency parameters to detect frictional interference. By tracking these parameter changes over time and comparing them against predetermined thresholds, the system can identify when components are degrading and require attention, enabling proactive maintenance that prevents complete failure and reduces the need for emergency component replacements
3Difficulty of detecting and measuring
If manual visual and tactile inspection is used to detect friction, then diagnostic capability improves, but skill requirement and time consumption increase
Solution Approach 1:
The patent replaces the technician's mechanical sense of touch and visual inspection with electronic vibration sensors and digital signal processing. The sensors automatically detect and measure vibration frequencies that indicate frictional interference, converting the subjective tactile assessment into objective quantitative measurements that are analyzed by the FFT algorithm, thereby eliminating the need for highly skilled technicians while improving detection capability
Solution Approach 2:
The patent introduces vibration sensors and FFT analysis software as intermediaries between the transmission system and the technician. These intermediaries automatically perform the complex task of detecting and analyzing friction-related vibrations, translating mechanical friction into electrical signals and then into diagnostic information, thereby removing the need for technicians to directly sense and interpret friction through touch and sight
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for rapid and accurate identification of frictional interference, reducing aircraft downtime and the need for unnecessary component replacements.
Implementation Method 1
analyzing the vibrations by a Fast Fourier Transform (FFT)
Implementation Method 2
detecting the vibration signals from one or more 3-axis accelerometers
Data Source
AI summary
Methods and devices for detecting frictional interference of one or more mechanical components within a vehicle that are driven by an electric motor. The testing includes: determining that an amount of current drawn by the electric motor while driving the one or more mechanical components is above a predetermined threshold; detecting vibrations caused by the one or more mechanical components while being driven by the electric motor; analyzing the vibrations by a Fast Fourier Transform (FFT); and based on an output from the FFT, determining the frictional interference of the one or more mechanical components.