TY - JOUR A2 - Xia, Tangbin AU - Li, Xiangong AU - Zhang, Yuzhi AU - Li, Yu AU - Zhan, Yujie AU - Yang, Lin PY - 2021 DA - 2021/02/20 TI - Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining SP - 6699611 VL - 2021 AB - To deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed.优先处理带感应器监测数据预处理以获取带标签特征数据集同时,从带导故障元件对DBN网络进行定性和定量分析并分解样本数据应用到DBN网络培训并建立DBN预测和性能评价模型最后,以地下矿带传送器实时监测数据为例,搭建DBN带传送器健康预测和评价模型以评价和预测设备的健康结果显示模型可识别不同的操作条件和故障模式并进一步提高预测精度SN-1070-9622UR-https://doi.org/101155/20216699611DO-10.1155/2021669961JF-Shock and VibationPB-HindawiKW-ER