A method for monitoring the failure of an automobile wheel speed sensor

By constructing a full-stack monitoring architecture that integrates multi-dimensional dynamic feature extraction, adaptive threshold adjustment, and multi-round collaborative constraint verification, the problems of low-speed detection blind spots and noise interference in complex scenarios in existing technologies are solved, achieving high coverage identification and reliable diagnosis of vehicle wheel speed sensor faults.

CN122193631APending Publication Date: 2026-06-12JIANGXI HAOFENG ELECTRICAL APPLIANCE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGXI HAOFENG ELECTRICAL APPLIANCE
Filing Date
2026-03-13
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing technologies suffer from problems such as detection blind spots at low speeds, insufficient ability to identify progressive drift and common-mode interference, and susceptibility to noise interference in complex dynamic scenarios, leading to false alarms and missed alarms.

⚗Method used

A full-stack monitoring architecture is constructed, which includes multi-dimensional dynamic feature extraction, adaptive threshold adjustment, multi-round collaborative constraint verification, and fault trend inference. This architecture consists of steps such as real-time acquisition of four-channel wheel speed signals, construction of multi-dimensional dynamic feature vectors, execution of adaptive threshold anomaly detection, implementation of multi-round collaborative consistency verification, introduction of a fault evolution trend inference engine, and external cross-validation, thereby generating a hierarchical fault response strategy.

🎯Benefits of technology

It achieves high coverage identification of various typical fault modes throughout the entire life cycle of automotive wheel speed sensors, eliminates low-speed detection blind spots, improves the ability to distinguish between slow drift and noise, enhances the ability to detect hidden faults early, and improves the reliability of diagnostic conclusions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of automobile wheel speed sensor fault monitoring methods, it is related to vehicle control technical field, the method includes: real-time acquisition four channel wheel speed signal and carries out low-pass filtering;Multi-dimensional dynamic feature vector is constructed, and work condition is judged by fusing gear and brake pressure;According to speed self-adaptive adjustment deviation threshold value;Combining steering angle estimation theoretical differential gradient carries out consistency check;To primary alarm carries out time sequence clustering, identifies fault evolution trend;Fusion inertial measurement unit data cross validation theoretical wheel speed;And according to fault grade executes three-level response strategy.The application aims to solve the problems that the prior art has detection blind area under low-speed working condition, insufficient identification ability for gradual drift and common-mode interference, and false alarm and missed alarm caused by noise interference in complex dynamic scene, to realize high-precision wheel speed sensor fault monitoring in full working condition and full life cycle.
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