Real-Time Malfunction Detection of Maglev Suspension Controllers
نویسندگان
چکیده
This study aims to develop a track-side online monitoring system for malfunction detection in the suspension controllers of maglev trains during their in-service operation. The hardware module includes two arrays accelerometers deployed on an F-type rail and data acquisition unit. software consists codes three functions: (i) identification time intervals relation passage each controller via synchrosqueezing transform; (ii) extraction feature index (FI) sequence synthesized by modulating response amplitude, frequency, running speed; (iii) formulation Bayesian dynamic linear model real-time controllers. For verification proposed algorithm, full-scale tests have been conducted test line using devised system, where train was run at different speeds with occurring results approach are exemplified comparison recorded gaps after trial train. fidelity obtained extracted FI raw compared. superiority algorithm is also discussed speeds.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11194045