A Novel Fault Diagnosis Method for High-Speed Railway Turnout Based On DCAE-Logistic Regression

Roller-mark is a common problem in offset printing and its solution method is important for printing. A new detecting method of texture analysis was given in this paper. In this study, printing image was acquired with high-speed CCD. Compared the difference between printing image and standard image, a defective image was obtained. Then the reason of roller-marks was given by the texture recognition of defect image. Finally, experiments were taken to prove the feasibility and effectiveness of this new method for the roller-marks diagnosis in the offset printing machine.

Download Full-text

Prior LDA and SVM Based Fault Diagnosis of Vehicle On-board Equipment for High Speed Railway

2015 IEEE 18th International Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2015.138 ◽

2015 ◽

Cited By ~ 3

Author(s):

Feng Wang ◽

Tian-hua Xu ◽

Yang Zhao ◽

Ye-ran Huang

Keyword(s):

Fault Diagnosis ◽

High Speed ◽

High Speed Railway

Download Full-text

Fault Diagnosis for Vehicle on-Board Equipments of High-Speed Railway Based on GA-ANFIS Model

Advances in Transdisciplinary Engineering - ISMR 2020 ◽

10.3233/atde200234 ◽

2020 ◽

Author(s):

Linggang Kong ◽

Shuo Li ◽

Xinlong Chen ◽

Hongyan Qin

Keyword(s):

Fault Diagnosis ◽

High Speed ◽

Principal Component ◽

Weighting Factor ◽

Anfis Model ◽

High Speed Railway ◽

Railway Line ◽

Diagnosis Rate ◽

Low Efficiency ◽

Frequency Weighting

Vehicle on-board equipment is the most important train control equipment in high-speed railways. Due to the low efficiency and accuracy of manual detection, in this paper, we propose an intellectualized fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) network. Firstly, we collect the fault information sheets that are recorded by electrical personnel, using frequency weighting factor and principal component analysis (PCA) to realize the data extraction and dimension reduction; Then, in order to improve the fault diagnosis rate of the model, using genetic algorithm (GA) to optimize the parameters of the ANFIS network; Finally, using the fault data of a high-speed railway line in 2019 to test the model, the optimized ANFIS model can achieve 96% fault diagnosis rate for vehicle on-board equipments, which indicating the method is effective and accurate.

Download Full-text

Improvement and Lock Calculation of Electric Switch Machine of Railway Turnout

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.409-410.1496 ◽

2013 ◽

Vol 409-410 ◽

pp. 1496-1501 ◽

Cited By ~ 1

Author(s):

Jing Mang Xu ◽

Ping Wang ◽

Hao Xu

Keyword(s):

Dynamic Model ◽

High Speed ◽

Lateral Stiffness ◽

High Speed Railway ◽

Train Speed ◽

Working Status ◽

Stress And Deformation ◽

Railway Turnout

Electric switch machine locks the crossing rail in the working direction and checks the working status of the crossing. With the increase of train speed, the ZD(J)9 electric switch machine cant satisfy the equipment of high speed railway, This paper studied the optimization; in order to study the lock calculation of nose rail after conversion, a dynamic model is established to research the influence of working status of the crossing. It indicates that for the first traction point, the stress and deformation are mainly affected by scant displacement between nose rail and wing rail; for the second traction point, they are affected by the gap between nose rail and spacer; fastener lateral stiffness doesnt influence the stress status, but the lateral fastener stiffness should not be too small.

Download Full-text