Tire Sensor Failure Detection Using Encoded-Reconstructed Signal Comparison
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Solution Overview
Problem
Conventional tire physical information estimation systems continue to produce incorrect estimates when tire sensors fail or stop operating due to failures or battery exhaustion, leading to inaccurate tire physical information estimation.
Innovation Solution
A sensor failure determination apparatus and method that uses a data acquisition unit, an arithmetic processing unit with coding and decoding capabilities based on convolutional operations, and a determination unit to identify sensor failures, allowing the system to differentiate between normal and failed sensor data, and a tire physical information estimation system that adjusts estimates based on sensor failure information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is continuously used for tire physical information estimation, then estimation productivity is maintained, but reliability deteriorates when sensor failures occur
Solution Approach 1:
The system performs preliminary sensor failure determination by comparing original sensor data with reproduced data generated through encoding and decoding operations. This preliminary check enables the system to identify sensor failures before they compromise tire physical information estimation, allowing proactive switching to alternative estimation methods while maintaining continuous operation.
Solution Approach 2:
The patent introduces an intermediary determination process that acts as a mediator between sensor data acquisition and tire physical information estimation. This intermediary layer verifies data quality through encoding-decoding comparison, ensuring that only reliable sensor data proceeds to estimation, thereby maintaining both productivity and reliability.
2Reliability
If sensor failure detection is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The system employs self-service failure detection where the sensor data itself is used to generate reproduced data through encoding and decoding operations. The comparison between original and reproduced data enables the system to self-diagnose sensor failures without requiring external monitoring equipment, thus improving reliability while minimizing additional complexity.
Solution Approach 2:
The patent applies discarding and recovering by eliminating unreliable sensor data identified through the determination process while recovering continuous estimation capability through alternative methods. This approach maintains system reliability without permanently adding complex failure handling mechanisms, as the complexity is temporarily activated only when failures are detected.
3Measurement precision
If continuous monitoring of sensor data is performed, then measurement precision is maintained, but energy consumption increases
Solution Approach 1:
The system implements periodic sensor failure determination at specific intervals during tire physical information estimation rather than continuous monitoring. This periodic approach maintains measurement precision by regularly checking data quality while significantly reducing energy consumption compared to continuous monitoring, as the encoding-decoding comparison is performed only at designated checkpoints.
Data Source
AI summary
A sensor failure determination apparatus includes a data acquisition unit, an arithmetic processing unit, and a determination unit. The data acquisition unit acquires data for a physical quantity measured by a sensor attached to a tire. The arithmetic processing unit includes a coding unit that generates feature amount data by applying a convolutional operation to the data acquired by the data acquisition unit, and a decoding unit that applies an inverse operation to the feature amount data to reproduce data. The determination unit determines whether the sensor has failed based on the data acquired by the data acquisition unit and the data reproduced by the arithmetic processing unit.