Fault value analysis of on board ATP system using big data

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Tao, Shen^1 ; Hongliang, Geng^1

Hunan CRRC Times Signal and Communication Co.LTD, Beijing Branch, China^1

关键词: ATP systems;    Automatic train protections;    Classification results;    Customer loyalty;    Customer values;    Evaluation results;    Operational loss;    Rfm models;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052083/pdf
DOI  :  10.1088/1757-899X/563/5/052083

来源: IOP

【 摘 要 】

RFM module is widely used for the classification of customer value. The classification results based on big data are often used as portrait of customer loyalty and customer value evaluation. In this paper, RFM model is introduced innovatively to analyse the fault of on board ATP (Automatic Train Protection) system. Through the fault value classification, it can effectively predict the impact of a certain type of fault on operation. For one thing, the operation departments and equipment providers can pre-process the corresponding failures according to the evaluation results, so as to reduce operational losses. For another thing, it can be used as the basis for dealing with big data of ATP faults.