Wheel End Bearing Failure Detection by Temperature Deviation
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Solution Overview
Problem
Current methods for diagnosing wheel end bearing failures in vehicles are unreliable, as they often rely on inaccurate mathematical models for estimating brake temperatures, which may not detect bearing failures accurately, especially when the brake mechanism behaves differently than expected.
Innovation Solution
A method and system that calculate an estimated wheel end bearing temperature using processing circuitry and compare it with a measured temperature from a temperature sensor, determining a failure when the difference exceeds a predefined threshold, allowing for more reliable detection of bearing-related issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If mathematical models are used to estimate bearing temperature, then the diagnosis system can operate without additional sensors, but the measurement accuracy and reliability of bearing failure detection deteriorate
Solution Approach 1:
The patent combines multiple existing sensor measurements (brake temperature, wheel speed, brake pressure) with mathematical models to create a comprehensive bearing temperature estimation system. This merging approach leverages available data from the brake diagnosis system to improve bearing temperature prediction accuracy without adding dedicated bearing temperature sensors.
Solution Approach 2:
The system uses feedback from actual bearing temperature measurements (when available) and brake system performance data to continuously refine and adjust the mathematical models. This feedback mechanism improves the accuracy of temperature estimates over time, allowing the system to adapt to different operating conditions and bearing characteristics.
2Ease of manufacture
If mathematical models assume normal brake operation, then the estimation process is simplified, but the reliability of bearing failure detection worsens when brake mechanism behaves abnormally
Solution Approach 1:
The patent implements dynamic adjustment of the mathematical models based on actual operating conditions. When brake abnormality is detected through the diagnosis system, the model parameters are automatically adjusted to account for non-normal operation. This dynamic adaptation maintains reliability across varying brake performance conditions while preserving the ease of implementation through standardized model structures.
Solution Approach 2:
The system changes key parameters in the mathematical models based on detected brake conditions. When brake abnormality is identified, parameters such as heat generation coefficients, thermal conductivity values, or friction coefficients are adjusted to reflect the actual abnormal state. This parameter adaptation allows the model to maintain accuracy under both normal and abnormal brake operation without requiring completely different models.
3Loss of time
If the temperature estimation threshold is set to be sensitive, then bearing failures are detected earlier, but the risk of false positive detections increases
Solution Approach 1:
The patent employs a multi-level detection approach where initial bearing failure warnings are triggered at lower temperature thresholds, but full failure confirmation requires both the threshold exceedance and additional confirming conditions. This partial action strategy allows early warning generation while requiring additional evidence before final failure determination, reducing false positives while maintaining early detection capability.
Solution Approach 2:
The system performs preliminary analysis of temperature trends, rate of temperature change, and correlation with operating conditions before issuing a definitive bearing failure detection. This preliminary action phase allows the system to identify potential failures early while filtering out transient temperature spikes that would trigger false alarms, thereby maintaining both early detection and high reliability.
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 provides a more accurate and reliable means to detect wheel end bearing failures by comparing measured and estimated temperatures, reducing the risk of incorrect determinations and enabling timely corrective action to prevent hazardous consequences.
Implementation Method 1
acquiring, using a temperature sensor, a measured value of the temperature of the wheel end bearing
Data Source
AI summary
The invention relates to a method of determining that a failure has occurred at or in a wheel end bearing of a vehicle. An estimated value of the temperature of the wheel end bearing is calculated by a processing circuitry. A measured value of the temperature of the wheel end bearing is acquired by a temperature sensor. The measured value is compared with the estimated value by the processing circuitry. When the measured value deviates from the estimated value by a predefined difference or more, then the processing circuitry determines that a failure has occurred. The invention also relates to a system for determining that a failure has occurred.