Measuring Electrolyte Impedance and Noise Simultaneously by Triangular Waveform Voltage and Principal Component AnalysisReportar como inadecuado




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State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China





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Academic Editor: Vittorio M. N. Passaro

Abstract In order to measure the impedance variation process in electrolyte solutions, a method of triangular waveform voltage excitation is investigated together with principal component analysis PCA. Using triangular waveform voltage as the excitation signal, the response current during one duty cycle is sampled to construct a measurement vector. The measurement matrix is then constructed by the measurement vectors obtained from different measurements. After being processed by PCA, the changing information of solution impedance is contained in the loading vectors while the response current and noise information is contained in the score vectors. The measurement results of impedance variation by the proposed signal processing method are independent of the equivalent impedance model. The noise-induced problems encountered during equivalent impedance calculation are therefore avoided, and the real-time variation information of noise in the electrode-electrolyte interface can be extracted at the same time. Planar-interdigitated electrodes are experimentally tested for monitoring the KCl concentration variation process. Experimental results indicate that the measured impedance variation curve reflects the changing process of solution conductivity, and the amplitude distribution of the noise during one duty cycle can be utilized to analyze the contact conditions of the electrode and electrolyte interface. View Full-Text

Keywords: solution impedance; planar-interdigitated electrode; conductivity; triangular waveform voltage; principal component analysis solution impedance; planar-interdigitated electrode; conductivity; triangular waveform voltage; principal component analysis





Autor: Shanzhi Xu, Peng Wang * and Yonggui Dong

Fuente: http://mdpi.com/



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