首页> 外文会议>IEEE Workshop on Electrical Machines Design, Control and Diagnosis >Survey of real-time fault diagnosis techniques for electromechanical systems
【24h】

Survey of real-time fault diagnosis techniques for electromechanical systems

机译:机电系统实时故障诊断技术综述

获取原文

摘要

This paper deals with a review of research works which have been recently carried out on the topic of real-time fault diagnosis of electromechanical systems. The proposed approaches rely mainly on the implementation of fault diagnosis algorithms in digital signal processors and field programmable gate arrays as well as usage of real-time simulators applied formerly in the context of hardware-in-the-loop for prompt and reliable fault diagnosis of electromechanical systems. This covers three groups of fault diagnosis namely, signal-based, model-based and data-based methods. The main challenge is to optimize both the utilization of hardware resources and computation time in addition to having a prompt and reliable fault diagnosis. A single processing unit for both fault detection and control algorithms will be the ultimate aim which leads to a fault tolerant configuration ensuring continuous operation of any electromechanical system and its related electrical drive.
机译:本文对机电系统实时故障诊断领域的研究工作进行了回顾。所提出的方法主要依靠数字信号处理器和现场可编程门阵列中故障诊断算法的实施,以及以前在硬件在环环境中应用的实时仿真器的使用,以进行快速,可靠的故障诊断。机电系统。它涵盖了三组故障诊断,即基于信号的,基于模型的和基于数据的方法。主要挑战是,除了要进行迅速而可靠的故障诊断外,还要优化硬件资源的利用率和计算时间。用于故障检测和控制算法的单个处理单元将是最终目标,这将导致容错配置,确保任何机电系统及其相关电驱动器连续运行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号