Research status and prospect of roadheader health management
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摘要: 掘进机健康管理技术通过对大量监测数据进行分析处理，动态掌握掘进机运行状况，并对各类故障进行预测预报，从而提高掘进机运行的安全性，降低事故发生率及损失，减少设备维护成本。指出巷道掘进机健康管理的关键技术为工作状态参数提取、全状态健康管理、剩余使用寿命估计和远程监测，总结了4项关键技术的研究现状，指出目前对于复杂机械设备剩余使用寿命预测的研究基本不考虑工况变化，仍停留在理论仿真和实验室试验阶段，若使该技术得到应用，必须考虑变工况条件；提出了掘进机健康管理的研究方向，包括掘进机微弱故障诊断方法、掘进机监测多信息融合技术、掘进机关重件与保养件寿命估计方法及油液污染度评估、数字孪生技术在掘进机健康管理中的应用。Abstract: By analyzing and processing a large amount of monitoring data, the health management technology of roadheader grasps the operation condition of roadheader dynamically and predicts various failures so as to improve the safety of roadheader operation, reducing the accidents rate and losses, and reduce equipment maintenance costs. It is pointed out that the key technologies for health management of roadheader are working condition parameter extraction, full condition health management, remaining service life estimation and remote monitoring. The paper summarizes the current research status of four key technologies, and points out that the current research on the prediction of remaining service life of complex mechanical equipment does not consider the change of working conditions, remaining at the stage of theoretical simulation and laboratory test. If the technology is applied, the variable working conditions must be considered. The research directions of roadheader health management are proposed, including roadheader weak fault diagnosis method, roadheader monitoring multi-information fusion technology, roadheader heavy and maintenance parts life estimation method, oil contamination assessment and the application of digital twin technology in roadheader health management.
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期刊类型引用(4)
1. 刘送永，刘强，崔玉明，孟德远，谢奇志. 煤矿悬臂式掘进机多信息监测系统设计与研究. 煤炭学报. 2023(06): 2564-2578 . 
百度学术
2. 张旭辉，白琳娜，杨红强. 基于虚实融合数据的悬臂式掘进机截割部故障预警技术研究. 工矿自动化. 2023(08): 9-19 . 本站查看
3. 王君莉. 掘进机截割煤巷工作面的振动监测与分析. 煤矿机械. 2022(12): 85-87 . 百度学术
4. 王列，殷华. 矿用掘进机电控系统设计及应用研究. 能源与环保. 2021(04): 231-236 . 百度学术
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