Seat Gear Diagnostics Using Motor Current Frequency Analysis
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Solution Overview
Problem
Automotive seat assemblies experience performance degradation over time due to repetitive operation and aging, leading to impaired smooth transitions, altered positioning, and unexpected movements, necessitating a system to detect faults before they become noticeable or operational.
Innovation Solution
A method for detecting faults in the gear system of a seat assembly by measuring motor current, analyzing current waveforms, applying continuous wavelet transformation, and monitoring hall effect signals to identify deviations from predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the gear system operates for extended periods with repetitive operation, then the seat assembly achieves functional positioning, but performance degradation occurs due to aging effects
Solution Approach 1:
The system performs preliminary diagnostic actions by continuously monitoring motor current waveforms and calculating power spectrum density to detect early signs of gear degradation before they manifest as noticeable performance issues. This allows preventive maintenance scheduling based on actual gear condition rather than fixed time intervals.
Solution Approach 2:
The system implements feedback through continuous monitoring of motor current during operation, analyzing the waveform characteristics and power spectrum density to detect changes in gear mesh conditions. This feedback loop enables real-time assessment of gear health and triggers alerts when degradation thresholds are exceeded.
2Ease of operation
If the gear train components wear or become damaged, then the seat assembly can still operate, but unexpected movements and positioning errors occur
Solution Approach 1:
The system replaces mechanical inspection methods with electrical measurement techniques by monitoring motor current waveforms and analyzing power spectrum density. This substitution enables non-intrusive, continuous monitoring of gear condition without requiring physical access to the gear train, maintaining operational continuity while detecting positioning stability issues.
Solution Approach 2:
The motor current waveform serves as an intermediary that indirectly reflects the mechanical condition of the gear train. By analyzing changes in current characteristics and power spectrum density, the system detects gear wear and damage without direct mechanical measurement, enabling early warning of positioning stability degradation.
3Device complexity
If traditional monitoring methods are used, then the system structure remains simple, but early fault detection capability is insufficient
Solution Approach 1:
The system transitions from time-domain current measurement to frequency-domain analysis by calculating power spectrum density of the motor current waveform. This dimensional transformation reveals hidden patterns and characteristics of gear meshing that are not apparent in the time domain, significantly improving fault detection precision with minimal additional complexity.
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
Effectively detects gear system faults, preventing unexpected movements and ensuring smooth operation by identifying and notifying occupants of potential issues.
Implementation Method 1
a gear train operatively coupled to a motor
Implementation Method 2
measuring a hall effect signal from the drive shaft indicating a rotational position and a rotational speed of the drive shaft
Data Source
AI summary
A method is provided for detecting a fault in a gear system for repositioning a seat assembly in an automotive vehicle. The gear system includes a gear train operatively coupled to a motor. The method includes the steps of measuring a current drawn by the motor to reposition the seat assembly, recording the current over time as a current waveform, converting the current waveform into a frequency domain, determining a base frequency of the current waveform based on the converted current waveform, calculating a power spectrum density at the base frequency, calculating a total band power of the power spectrum density, and determining whether the total band power is greater than a predetermined total band power threshold.


