Automatic and Online Detection of Rotor Fault State
作者: Ali OuanasAmmar MedouedSalim HaddadMourad MordjaouiD. Sayad
作者单位: 1Department of Electrical Engineering, University 20 Aout 1955-Skikda. B.P.26 Route El-Hadaiek, Skikda 21000
2Department of Mechanical Engineering, University 20 Aout 1955-Skikda. B.P.26 Route El-Hadaiek, Skikda 21000
刊名: International Journal of Renewable Energy Development, 2018, Vol.7 (1), pp.43-52
来源数据库: Center of Biomass and Renewable Energy, Diponegoro University
DOI: 10.14710/ijred.7.1.43-52
关键词: Broken bar faultFuzzy c mean clusteringHilbert TransformNeural networkKNNEnvelope
原始语种摘要: In this work, we propose a new and simple method to insure an online and automatic detection of faults that affect induction motor rotors. Induction motors now occupy an important place in the industrial environment and cover an extremely wide range of applications. They require a system installation that monitors the motor state to suit the operating conditions for a given application. The proposed method is based on the consideration of the spectrum of the single-phase stator current envelope as input of the detection algorithm. The characteristics related to the broken bar fault in the frequency domain extracted from the Hilbert Transform is used to estimate the fault severity for different load levels through classification tools. The frequency analysis of the envelope gives the...
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关键词翻译
关键词翻译
  • clustering 聚类
  • fault 断层
  • propose 提议
  • determine 决心
  • installation 安装
  • online 联机
  • automatic 自动的
  • envelope 包络层
  • class 
  • current