Multiple robots data association with fault diagnosis in explosion test

Surong Dong, H. Zhou
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Abstract

In ground explosion test, due to the high temperature and pressure as well as the high shock wave current, it is required to be assisted by multiple robots to collect the data and survey the dangerous environment. A method making use of robot sensors to survey the test ground environment data and tracking propagation of shock wave through mobile robots is presented. Besides, an approach of multiple sensors data association is used to track diffraction propagation of shock waves at multi-explosive points. Due to the explosion shake, the measurement devices are easy to have faults, influencing the accuracy of measurement, therefore, to make use of robots implement the fault diagnosis is another important task. An explosion tunnel measurement system is taken as an example, by setting up a fault tree to assist the fault diagnosis. In addition, the process of knowledge base building is illustrated in the example.
多机器人数据与爆炸试验故障诊断的关联
在地面爆炸试验中,由于高温高压和高冲击波电流,需要多个机器人辅助进行数据采集和危险环境调查。提出了一种利用机器人传感器测量试验场环境数据并跟踪冲击波在移动机器人中的传播的方法。此外,采用多传感器数据关联的方法跟踪激波在多个爆炸点的衍射传播。由于爆炸震动,测量装置容易发生故障,影响测量精度,因此,利用机器人实现故障诊断是另一项重要任务。以某爆炸隧道测量系统为例,通过建立故障树来辅助故障诊断。并通过实例说明了知识库的建立过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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