Abstract: The present disclosure discloses a method for training a gearbox fault diagnosis model, and a gearbox fault diagnosis method. The method includes: acquiring a motor current signal in an electromechanical system where a gearbox is located; calculating, based on the current signal, characteristic values representing complexity and degree of mutation of the current signal; filtering the characteristic values based on a random forest algorithm to generate a sample data set; and training, based on the data set, a deep reinforcement learning network model to generate the fault diagnosis model. By means of the method for training the gearbox fault diagnosis model according to the present disclosure, merely the current signal is acquired, no additional sensor is needed, and the defect of additional hardware in the prior art is overcome.

Abstract: A gearshift overlap control system and a control method for improving vehicle dynamic response includes a gearshift progress calculation module: the gearshift progress calculation module is capable of calculating a gearshift progress in real time; a clutch control module: the clutch control module is capable of executing a first power-on downshift control and starting to perform a second power-on downshift control when a set second power-on downshift in a corresponding gearshift progress is requested; and an iterative learning control module: the iterative learning control module is capable of automatically adjusting a first on-coming clutch control pressure and a first off-going clutch control pressure in the first power-on downshift by means of monitoring the overshoot of the gearshift progress.

Abstract: The present disclosure provides an automatic optimization system for a toluene chlorination parameter based on deep learning. The automatic optimization system for a toluene chlorination parameter based on deep learning includes a toluene chlorination data acquisition module, a toluene chlorination data preprocessing module, a toluene chlorination data division module, a toluene chlorination deep belief network (DBN) construction module, a toluene mass fraction prediction module, a toluene mass fraction validation module, and a toluene chlorination parameter optimization module. The automatic optimization system for toluene chlorination parameter provided by the present disclosure can realize a complete process including automatic detection, information processing, analysis and determination, operation control and expected goal implementation. While reducing manpower, the present disclosure improves the stability of the chemical reaction process, and improves the yield and purity of the target component.

Abstract: The present invention provides a gearshift overlap control system and a control method for improving vehicle dynamic response; the control system includes a gearshift progress calculation module: the gearshift progress calculation module is capable of calculating a gearshift progress in real time; a clutch control module: the clutch control module is capable of executing a first power-on downshift control and starting to perform a second power-on downshift control when a set second power-on downshift in a corresponding gearshift progress is requested; and an iterative learning control module: the iterative learning control module is capable of automatically adjusting a first on-coming clutch control pressure and a first off-going clutch control pressure in the first power-on downshift by means of monitoring the overshoot of the gearshift progress.

Abstract: Provided herein are compounds of formula (I) having activity on a receptor protein tyrosine kinase, wherein R1, R2, R3, A, Q, Z, X and W are set forth in the description, as well as solvates, hydrates, tautomers or pharmaceutically acceptable salts thereof.

Abstract: Provided herein are compounds of formula (I) having activity on a receptor protein tyrosine kinase, wherein R1, R2, R3, A, Q, Z, X and W are set forth in the description, as well as solvates, hydrates, tautomers or pharmaceutically acceptable salts thereof.

Abstract: An object of the present invention is to provide a novel polysaccharide derivative used for a separating agent for optical isomers. The novel polysaccharide derivative contains a structure in which a hydrogen atom of a hydroxyl group or an amino group at the 2-position in a structural unit of the polysaccharide is substituted with a monovalent group represented by the following general formula (1), and a hydrogen atom of a hydroxyl group or an amino group at the 3-position in the structural unit is substituted with a monovalent group represented by the following general formula (2): R1—NH—CO—??(1) R2—NH—CO—??(2) where R1 and R2 represent substituted or unsubstituted aryl groups which are different from each other.

Abstract: An object of the present invention is to provide a novel polysaccharide derivative used for a separating agent for optical isomers. The novel polysaccharide derivative contains a structure in which a hydrogen atom of a hydroxyl group or an amino group at 2-position in a structural unit of the polysaccharide is substituted with a monovalent group represented by the following general formula (1), and a hydrogen atom of a hydroxyl group or an amino group at 3-position in the structural unit is substituted with a monovalent group represented by the following general formula (2): R1—NH—CO—??(1) R2—NH—CO—??(2) where R1 and R2 represent substituted or unsubstituted aryl groups different from each other.