FPGA based Motor Current Signature Analysis for Stator Faults Detection in Three Phase Induction Motor

Author:

Samy Mohamed1,Bassiuny A. M.2,Tolba A. S.3

Affiliation:

1. Helwan University ( Teaching Assistant),Faculty of Engineering,Mechanical Engineering Dept. Mechatronics Division,Cairo,Egypt

2. Helwan University (Dean of the Faculty of Engineering, Heliopolis University),Mechatronics Engineering Division,Cairo,Egypt

3. Almansoura University (Dean of the New Heliopolis Engineering Institute),Computer Since Engineering,Almansoura,Egypt

Publisher

IEEE

Reference17 articles.

1. FPGA based on-line fault diagnostic of induction motors using electrical signature analysis

2. Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis

3. USER GUIDE NI sbRIO-961x/963x/964x and NI sbRIO-9612XT/9632XT/9642XT Single-Board RIO OEM Devices;375052C-01 datasheet,2010

4. Machinery Fault Simulator;MFS datasheet,0

5. Open-circuit fault diagnosis in three-phase induction motor using the model-based technique;aswad;Archives of Electrical Engineering,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fuzzy-based Induction Motor Fault Diagnosis Decision-Making System for Motor Current Signature Analysis;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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