LOOSENESS IDENTIFICATION OF TRACK FASTENERS BASED ON ULTRA-WEAK FBG SENSING TECHNOLOGY AND CONVOLUTIONAL AUTOENCODER NETWORK

Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Changes in the geological environment and track wear, and deterioration of train bogies may lead to the looseness of subway fasteners.Identifying loose fasteners randomly distributed along the subway line is of great significance to avoid train derailment.This paper presents a convolutional autoencoder (CAE) network-based method for 3m speedglas 90

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Performance Analysis of a Retrial Queueing System with Optional Service, Unreliable Server, Balking and Feedback

This paper considers a Markovian retrial queueing system sophie allport bee curtains with an optional service, unreliable server, balking and feedback.An arriving customer can avail of immediate service if the server is free.If the potential customer encounters a busy server, it may either join the orbit or balk the system.The customers may retry t

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