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  • 标题:WIRELESS FAULT TOLERANCES DECISION USING ARTIFICIAL INTELLIGENCE TECHNIQUE
  • 本地全文:下载
  • 作者:MONEER ALI LILO ; L.A.LATIFF ; AMINUDIN BIN HAJI ABU
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:87
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Wireless techniques utilized in industrial applications face significant challenges in preventing noise, collision, and data fusion, particularly when wireless sensors are used to identify and classify fault in real time for protection. This study will focus on the design of integrated wireless fault diagnosis system, which is protecting the induction motor (IM) from the vibration via decrease the speed. The filtering, signal processing, and Artificial Intelligent (AI) techniques are applied to improve the reliability and flexibility to prevent vibration increases on the IM. Wireless sensors of speed and vibration and card decision are designed based on the wireless application via the C++ related to the microcontroller, also, MATLAB coding was utilized to design the signal processing and the AI steps. The system was successful to identify the misalignment fault and dropping the speed when vibrations rising for preventing the damage may be happen on the IM. The vibration value reduced via the system producing response signal proportional with fault values based on modify the main speed signal to dropping the speed of IM.
  • 关键词:Industrial Wireless Sensor; Artificial Intelligent Technique; Signals Processing; Fault Diagnosis System
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