基于故障电流信号的感应电机节能与控制系统

Supachai Prainetr, Somchai Mongboon, Sittpong Intrayut, Natchanun Prainetr
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摘要

监测电机的状态是一个行业努力节能的基本性能要素。本文对感应电机的节能及控制系统的设计进行了探讨。基于一个涉及电机电流信号分析(MCSA)技术挑战的实验案例研究。小波分解(WD)分类是信号处理的一部分,它将数据故障根据准则标准传递给可编程逻辑控制器(PLC)进行操作。结果表明,通过故障分析和设计保护系统,可以检测出电流信号频谱的谐波畸变和峰值密度。该研究可用于制造过程中的节能,并可应用于电机保护系统。
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Energy Conservation and Control Systems Induction Machine Using Fault Current Signal
Monitoring the status of electric machines is an essential performance element for an industry’s efforts to save energy. In this paper present energy saving and the design of an induction machine control system are examined. Based on an experimental case study involving a Motor Current Signal Analysis (MCSA) technique challenge for an audition. Wavelet Decomposition (WD) categorization is a part of the signal processing and it transfers data faults to Programmable Logic Controller (PLC) operations based on criteria standards. The results show that harmonic distortion and peak densities of current signal spectra can be detected by fault analysis and design protection systems. This study can be used in energy conservation during manufacturing and has applications for electrical machine protection systems.
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