• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Proceedings of the 6th European Embedded Design in Education and Research Conference >Fault prognosis for rotating electrical machines monitoring using recursive least square
【24h】

Fault prognosis for rotating electrical machines monitoring using recursive least square

机译：基于递推最小二乘的旋转电机故障诊断

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Nowadays there is a strong competition between companies in order to develop new solutions to keep competitive on the market, e.g. by reducing the production costs. Since the maintenance costs are substantial share of the production costs, companies need to plan the maintenance costs effectively. Deterioration prognosis of electric machine can decrease the maintenance costs by minimizing the loss of production due to machine breakdown and avoiding the overstocking of spare parts. This paper proposes a prognostic system to predict the wear condition of rotating electrical machines. Experimentations have been carried out on a laboratory experimental system, which is equipped with analog-to-digital converters, a microcontroller and two accelerometers in order to acquire vibration measurements and predict the machine degradation trend. Tests are carried out on induction motors using an electrical motor test bench to show the performances.
机译：如今，为了开发新的解决方案以保持市场竞争力，公司之间存在激烈的竞争。通过降低生产成本。由于维护成本在生产成本中占很大比例，因此公司需要有效地计划维护成本。电机的故障预后可以通过最大程度地减少由于机器故障而导致的生产损失并避免备件过多而减少维护成本。本文提出了一种预测系统，以预测旋转电机的磨损状况。已经在实验室实验系统上进行了实验，该系统配备了模数转换器，微控制器和两个加速度计，以便获得振动测量值并预测机器的退化趋势。使用电动机测试台在感应电动机上进行测试以显示其性能。

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