首页> 外文会议>Industrial Electronics (ISIE), 2012 IEEE International Symposium on >Induction machine bearing failures detection using stator current frequency spectral subtraction
【24h】

Induction machine bearing failures detection using stator current frequency spectral subtraction

机译:基于定子电流频谱减法的感应电机轴承故障检测

获取原文
获取原文并翻译 | 示例

摘要

Induction machines are widely used in industrial applications. Safety, reliability, efficiency and performance are major concerns that direct the research activity in the field of electrical machines. Though the induction machine is very reliable, many failures can occur such as bearing faults, air-gap eccentricity and broken rotor bars. Therefore, the challenge is to detect them at an early stage in order to prevent breakdowns. The purpose of this paper is to propose a new approach for fault detection based on the spectral subtraction. The technique effectiveness is demonstrated using simulation data issued from a coupled electromagnetic circuits approach and experiments in the case of bearing failures.
机译:感应电机广泛用​​于工业应用。安全性,可靠性,效率和性能是指导电机领域研究活动的主要问题。尽管感应电机非常可靠,但仍可能发生许多故障,例如轴承故障,气隙偏心和转子条断裂。因此,挑战在于及早发现它们以防止故障。本文的目的是提出一种基于谱相减的故障检测新方法。轴承故障情况下,使用耦合电磁电路方法发出的仿真数据和实验证明了该技术的有效性。

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