Multiple fault detection through information entropy analysis in ASD-fed induction motors

机译：通过ASD供电的感应电动机的信息熵分析进行多重故障检测

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this work broken rotor bars, misalignment, and unbalance are detected in induction motors powered by an adjustable speed drive (ASD) using the supply electric current information contents. The proposed methodology is implemented in a field programmable gate array offering a low-cost and portable solution for induction motor monitoring in real time. Results show that the introduced approach provides high detectability of treated faults at different rotational speed (30 Hz, 40 Hz, and 50 Hz) making it suitable for reliable online and continuous monitoring of the operational condition since control of the induction motor rotating speed through an ASD is a common practice in industry.

机译：在这项工作中，使用供电电流信息内容，在由可调速驱动器（ASD）供电的感应电动机中，检测到转子条断裂，不对中和不平衡的情况。所提出的方法在现场可编程门阵列中实施，为感应电动机的实时监控提供了一种低成本且便携式的解决方案。结果表明，引入的方法在不同的转速（30 Hz，40 Hz和50 Hz）下具有较高的可检测故障检测能力，因为它可以通过异步电动机控制感应电动机的转速，因此适用于可靠的在线和连续监视运行状态。 ASD是行业中的一种普遍做法。

著录项

来源
《8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics Drives》|2011年|p.391-396|共6页
会议地点
作者
Cabal-Yepez Eduardo; Romero-Troncoso Rene J.; Garcia-Perez Arturo; Osornio-Rios Roque A.; Alvarez-Salas Ricardo;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类一般性问题;
关键词
Adjustable speed drive; Field programmable gate arrays; Induction motors; Information entropy; Multiple fault diagnosis;

机译：可调速驱动;现场可编程门阵列;感应电动机;信息熵;多种故障诊断;

相似文献

外文文献
中文文献
专利

1. FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors [J] . E. Cabal-Yepez, M. Valtierra-Rodriguez, R.J. Romero-Troncoso, Mechanical systems and signal processing . 2012,第Jula期

机译：基于FPGA的熵神经处理器，用于在线检测感应电动机上的多个组合故障
2. FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference [J] . Romero-Troncoso R. J., Saucedo-Gallaga R., Cabal-Yepez E., Industrial Electronics, IEEE Transactions on . 2011,第11期

机译：基于信息熵和模糊推理的基于FPGA的异步电动机多个组合故障在线检测
3. Misalignment Faults Detection in an Induction Motor Based on Multi-scale Entropy and Artificial Neural Network [J] . Alok Kumar Verma, Somnath Sarangi, Mahesh Kolekar Electric Power Components and Systems . 2016,第6a10期

机译：基于多尺度熵和人工神经网络的异步电动机失准故障检测
4. Multiple fault detection through information entropy analysis in ASD-fed induction motors [C] . Cabal-Yepez Eduardo, Romero-Troncoso Rene J., Garcia-Perez Arturo, IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics Drives . 2011

机译：通过ASD馈送电动机中信息熵分析的多重故障检测
5. Multi-sensor Wireless System for Fault Detection in Induction Motors. [D] . Tarkesh Esfahani, Ehsan. 2012

机译：用于感应电动机故障检测的多传感器无线系统。
6. Smart Sensor for Online Detection of Multiple-Combined Faults in VSD-Fed Induction Motors [O] . Armando G. Garcia-Ramirez, Roque A. Osornio-Rios, David Granados-Lieberman, 2012

机译：用于在线检测VSD馈电异步电动机中多种故障的智能传感器
7. Current Based Fault Detection and Diagnosis of Induction Motors. Adaptive Mixed-Residual Approach for Fault Detection and Diagnosis of Rotor, Stator, Bearing and Air-Gap Faults in Induction Motors Using a Fuzzy Logic Classifier with Voltage and Current Measurement only. [O] . Bradley William John 2013

机译：基于电流的感应电动机故障检测和诊断。仅使用电压和电流测量的模糊逻辑分类器的自适应混合残差方法对异步电动机的转子，定子，轴承和气隙故障进行故障检测和诊断。

Multiple fault detection through information entropy analysis in ASD-fed induction motors

摘要

著录项

相似文献

相关主题

期刊订阅