In high speed maglev train,the gap sensor is a critical component of the entire train control system. However,due to its complex structure,large usage,high operating temperature,and significant vibration,it is prone to failure,leading to high and challenging maintenance costs. To address this issue and improve maintenance efficiency,a self-diagnosis method for the levitation gap sensor is developed by combining three signals for multi-dimensional signal judgments by using mutual relation between three signals of groove signals,acceleration signals,and gap signals. A fault information output mode is designed to accurately locate fault signals and reduce maintenance costs.
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