Subway contact rail system state feature extraction method based on Tsallis entropy and application

• Main Authors: SHAN CHONGHAO, LIU MINGJIE, GONG MENGRONG, LIU DAYONG, YI PEIWEN, LIU YUCHENG, WANG LU, QI GUANGFENG, XU HONGYAN, LI HONGMEI, HUANG DONGLIANG, XIAO CHANGCHUN, ZHANG DONGLIANG, WANG LIUHUI
• Format: Patent
• Language: Chinese; English
• Published: 04.10.2022
• Subjects: ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS; CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; MEASURING; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; TARIFF METERING APPARATUS; TESTING

The invention discloses a metro contact rail system state evaluation method based on Tsallis entropy. The metro contact rail system state evaluation method comprises the steps that detection data of a metro contact rail in different states are collected in real time; decomposing the detection data by adopting an empirical mode decomposition algorithm to obtain intrinsic mode function components and residual errors of different frequencies; the peak frequency of each intrinsic mode function component is analyzed by adopting an autoregression spectrum of an akaike information criterion, and the intrinsic mode function components which are not in the wavelength range of the contact rail structure are superposed and recombined so as to extract a non-contact rail structure wavelength component of the detection data; carrying out wavelet packet decomposition on the extracted wavelength component data of the non-contact rail structure, and solving a corresponding Tsallis entropy value as a state feature of the conta