基于智能传感器的矿用盘式制动器磨损检测方法
By using a multi-sensor fusion method, combining laser displacement, vibration, and temperature sensors, the multi-dimensional wear of the brake is obtained and weighted fusion is performed, which solves the problem of inaccurate detection by a single sensor and achieves a more accurate assessment of wear status.
CN120720353BActive Publication Date: 2026-07-17JINING MINING GRP HAINA TECH ELECTROMECHANICAL CO
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JINING MINING GRP HAINA TECH ELECTROMECHANICAL CO
- Filing Date
- 2025-08-06
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In the existing technology, when a single sensor is used for wear detection of mining disc brakes, it is easily affected by thermal expansion, noise interference and thermal fatigue accumulation, resulting in inaccurate detection results.
Method used
A multi-sensor fusion method is adopted, combining laser displacement sensor, vibration sensor and temperature sensor to obtain the brake thickness, vibration signal and wear amount under temperature, respectively. The wear state of the brake is finally obtained by weighted fusion through confidence analysis.
Benefits of technology
It improves the accuracy of brake wear detection, comprehensively reflects the wear condition, reduces errors caused by a single sensor, and enhances the reliability of the detection results.
✦ Generated by Eureka AI based on patent content.
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Figure CN120720353B_ABST
Abstract
本发明涉及数据处理技术领域，尤其涉及一种基于智能传感器的矿用盘式制动器磨损检测方法，该方法分别获取制动器在厚度，振动信号和温度下的检测磨损量，以全面反映制动器的磨损状态；根据制动盘在当前时段内的压力稳定性，获取厚度置信度；根据制动器在噪声最低的参考时段与当前时段之间的振动信号差异，获取振动置信度；根据制动盘在当前时段内的声发射信号的幅值特征和温度变化，获取温度置信度；根据厚度置信度，振动置信度和温度置信度，对制动器在厚度，振动信号和温度下的检测磨损量加权融合，得到最终磨损量，进而判断制动器的磨损状态，提高了对制动器进行磨损检测的准确性。
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