Detection method on pantograph-catenary arcing of electric locomotives based on multi-frequency-band characteristics of current signals

Detecting pantograph-catenary arcing on trains is crucial for ensuring safety in railway operation and maintenance. Most existing detection methods rely on optical instruments to capture pantograph-catenary images, followed by the analysis of these images to identify arc spectra as evidence of arcin...

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Bibliographic Details
Published in机车电传动 pp. 181 - 189
Main Authors LUO Yinbei, GE Ting, SUN Zeyong
Format Journal Article
LanguageChinese
Published Editorial Department of Electric Drive for Locomotives 01.07.2024
Subjects
arc transient characteristics
electrical locomotive
Fourier transform
random forest
transducer application
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ISSN1000-128X

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Summary:Detecting pantograph-catenary arcing on trains is crucial for ensuring safety in railway operation and maintenance. Most existing detection methods rely on optical instruments to capture pantograph-catenary images, followed by the analysis of these images to identify arc spectra as evidence of arcing occurrences. However, these methods are limited by inadequate visibility in the external environments of trains, and maintenance access can be challenging. To address these issues, this paper proposed a detection method based on multi-frequency-band characteristics of current signals. First, based on the time-domain and frequency-domain characteristics of arcs, leveraging theoretically derived, simulated and measured waveforms, the following characteristic components of pantograph-catenary arcs were demonstrated: extremely low-frequency components caused by instantaneous ionization, harmonic components resulting from LC oscillation, and high-frequency components. These characteristic components were then utilized
ISSN:1000-128X