Fault diagnosis for electro-hydraulic control system of hydraulic support based on big data
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摘要: 针对液压支架电液控制系统故障人工排查方式无法准确定位某些随机故障或个别系统故障的问题，对传统电液控制系统硬件设备进行智能化改造：增加了对系统核心关键部件电气参数的采集传输功能；从大数据采集、传输、处理等方面，阐述了基于Hadoop的大数据决策分析服务平台的构建；设计了大数据故障诊断引擎，以并行算法为核心对各类故障进行识别和诊断，基于MapReduce对C4.5决策树分类算法进行改进，并通过后剪枝技术解决算法容易过度拟合且不稳定的问题，通过多分类器融合技术提高算法准确性。测试结果表明，通过C4.5决策树分类预测引擎提取的电磁先导阀、控制器、压力传感器及行程传感器故障特征曲线存在较大差异性，通过动态比较匹配，依据故障特征曲线变化规律可识别出故障类型。
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关键词:
- 液压支架电液控制系统 /
- 故障诊断 /
- 大数据 /
- 智能化改造 /
- 决策分析服务平台 /
- Hadoop /
- C4.5决策树分类算法
Abstract: In view of problem that manual trouble shooting method of electro-hydraulic control system of hydraulic support cannot accurately locate certain random faults or individual system faults, hardware equipment of traditional electro-hydraulic control system was transformed by intelligent technique：Collection and transmission function of the electrical parameters of key components of the system was added; Construction of big data decision analysis service platform based on Hadoop was expounded from aspects of big data collection, transmission and processing; Big data fault diagnosis engine was designed which used parallel algorithm as the core to identify and diagnose various faults. Based on MapReduce, C4.5 decision tree classification algorithm was improved, the post-pruning technique was used to solve the problem of instability and being easy to overfit of the algorithm, and multi-classifier fusion technology was used to improve accuracy of the algorithm. The test results show that fault characteristic curves of electromagnetic pilot valve, controller, pressure sensor and stroke sensor extracted by C4.5 decision tree classification prediction engine have great differences, and through dynamic comparison and matching, fault type can be identified according to the change law of the fault characteristic curves. -
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2. 王博，倪伟强，陈仁建，赵亮亮，郑铠. 矿用大流量乳化液泵泵头组件设计. 煤矿机械. 2024(11): 127-129 . 百度学术
3. 刘昊. 乳化液泵总效率提升手段及应用. 液压气动与密封. 2024(12): 78-84 . 百度学术
4. 叶隆浩，李华. 乳化液智能配液系统研究与试验. 煤矿机械. 2023(02): 55-58 . 百度学术
5. 关丙火，张飞超，叶健，云俊文，李艳杰，耿相奎，梁雷，柳国录. 大采高大流量集成供液系统的研制与应用. 煤矿机械. 2023(03): 158-161 . 百度学术
6. 黄帅. 矿用高端乳化液泵站泵头组件设计. 煤矿机械. 2023(12): 108-111 . 百度学术
7. 杨鹏，刘碧波，孟亚光. 矿鸿操作系统在综采工作面中的应用研究. 信息与电脑(理论版). 2023(19): 95-97 . 百度学术
8. 司明，邬伯藩，王子谦. 综采工作面大流量智能供液系统研究. 工矿自动化. 2022(07): 66-72 . 本站查看
9. 赵康康，刘波. 煤矿井下水处理装置智能控制系统设计. 工矿自动化. 2022(12): 151-157 . 本站查看
10. 郝佩儒，郭开玺，石转转. 矿用乳化液泵液压系统分析和发展趋势. 内蒙古煤炭经济. 2022(23): 114-117 . 百度学术
11. 高有进，杨艺，常亚军，张幸福，李国威，连东辉，崔科飞，武学艺，魏宗杰. 综采工作面智能化关键技术现状与展望. 煤炭科学技术. 2021(08): 1-22 . 百度学术
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