Sleeper health diagnosis method and device based on strain statistical characteristics and electronic equipment

• Main Authors: ZHU BIN, ZHANG JIANQIANG, CHEN JIAHUI, LI QIUYI, ZHAO YUNZHE, ZHANG ZHENG, ZHANG PENG, SUN LI, YE SONG, GUO JICHENG, LIU HUIFANG, ZHANG SHIJIE, ZHANG CHAOYONG, TAN SHIYU, LIU YU
• Format: Patent
• Language: Chinese; English
• Published: 06.06.2023
• Subjects: ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS; CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR; PHYSICS; TARIFF METERING APPARATUS; TESTING

The invention provides a sleeper health diagnosis method and device based on strain statistical characteristics and electronic equipment, and belongs to the technical field of fault diagnosis, and the method comprises the steps: obtaining the probability distribution of various types of wheel load strain ratios of a sleeper in an operation state; the wheel load strain ratio is a ratio of strain monitoring values of two strain sensors located at different spatial positions under the action of the same train axle; and performing health diagnosis on the sleeper according to the similarity between the probability distribution of each type of wheel load strain ratio and the corresponding reference probability distribution. According to the method, the space-time correlation of the sleeper strain field under the train load effect is utilized, different types of wheel load strain ratios are provided to represent the structure stress state, sleeper structure health diagnosis is performed through the probability distr