A novel method for detecting the pantograph–catenary arc based on the arc sound characteristics. (May 2019)

• Record Type: Journal Article
• Authors: Wei, Wenfu; Liang, Chongliang; Yang, Zefeng; Xu, Pan; Yan, Xin; Gao, Guoqiang; Wu, Guangning
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 233:Number 5(2019)
• Page Start: 506
• Page End: 515
• Publication Date: 2019-05
• Subjects: Pantograph–catenary arc -- arc detection -- Fourier analysis -- wavelet noise reduction -- digital energy calculation; Railroads -- Periodicals; Personal rapid transit -- Periodicals; 625.1
• DOI: 10.1177/0954409718799792
• Languages: English
• ISSNs: 0954-4097

Abstract

In recent years, the speed and the current transmission density of high-speed railways are increased. As a result, the rate of the occurrence of pantograph–catenary arc also increases, which directly influences the service performance of the pantograph–catenary system. The detection and identification of the pantograph–catenary arc is of great significance for evaluating the off-line level to ensure the safe operation of the pantograph–catenary system. The currently used conventional optical arc detection method would be distorted by strong sunlight or other environmental lights in the actual operation, which would affect the accuracy of detection. On the contrary, the arc sound signal is not affected by the diurnal variation and can be easily obtained; it can also be distinguished well from other interfering sounds. In this paper, a new method that uses the arc sound is proposed to realize the effective detection of the pantograph–catenary arc. The frequency spectrum and the intensity characteristics of the pantograph–catenary arc sound are analyzed. The results show that the frequency band of the arc sound signal is wide and mainly gets distributed at 5–17 kHz. The curve of the sound waveform is drawn by calculating the short-time average energy, which is used to obtain the arc's starting time, duration, and intensity, for calculating the off-line rate.