44results about How to "Strong nonlinearity" patented technology

The present invention relates to a method and to an apparatus for suppression of vibrations in a rolling mill. The problem of the invention is to create a method and an apparatus having a hydraulic roller actuator for the suppression of vibrations in a rolling mill, with which in particular the third-octave vibrations can be effectively suppressed and thereby the quality of the rolled material and / or the productivity of the rolling mill can be improved. This problem is solved by a method in which the control variable is supplied to an electro-hydraulic actuating unit and then due to this actuating unit at least one hydraulic actuator for the roller setting is actuated, wherein the electro-hydraulic actuating unit has a nominal rate of flow >= 50 l / min and at least a portion of the frequency response at frequencies f >= 80 Hz is characterized by a drop in value of <= 3 dB, and in this frequency range, the phase drop Phi satisfies the conditions (I) and Phi < 90 DEG.

The invention discloses a method and a system for establishing a pulse wave noise signal identification model based on a convolutional neural network. The method comprises the steps of preprocessing pulse wave noise signal data; extracting features of the processed noise signal data through a plurality of convolution layers of the convolution network model; extracting key information of the processed noise signal data through a maximum pooling layer; calculating the weight of each neuron of the convolutional neural network model through a dense layer activation function; calculating the processed noise signal data through a convolutional neural network model, and outputting an identification result of the noise signal data; adjusting the weight of each neuron of the convolutional neural network model through the error of the recognition result of the noise signal data, and carrying out the repeated iterative loop training of the convolutional neural network model; and verifying the convolutional neural network model by using the unrecognized noise signal data in the processed noise signal data to obtain a verified convolutional neural network model.

The invention discloses a bogie axle box suspension device which comprises an axle box matched with an axle and rubber springs connected with a bogie frame. The axle box is of an integral structure. The axle box comprises a fixed bearing and an axle hole base matched with the axle. The rubber springs are arranged on two sides of the axle hole base respectively. A through kidney-shaped slot is formed in the bottom of the axle hole base. The axle box is further provided with a pull rod installation base, a first bearing platform, a second bearing platform, a shock absorber installation base and other structures, wherein the first bearing platform and the second bearing platform are used for fixing the rubber springs. The bogie axle box suspension device utilizes the rubber springs as axle box locating springs, and the rubber springs have the advantages of being asynchronous in vertical, horizontal and longitudinal stiffness and good in nonlinearity. The axle box is of the integral structure and provided with connecting structures, so that the technical requirements of a quick bogie are met. The kidney-shaped slot in the bottom of the axle hole base facilitates infrared axle temperature automatic detection. A supporting pull rod is connected with a diagonal axle box to form a radial mechanism, so that the overall performance of the bogie is better. The shock absorber installation base, an anti-skid device or a dustproof end cover, and other structures are included, so that the technical performance of the bogie is further improved.

The invention discloses a performance analysis method for a coating protection system of an LPG (liquefied petroleum gas) storage tank in a fire disaster environment. The method comprises steps as follows: 1, a wavelet finite element model for performance analysis of a passive coating protection system of the LPG storage tank in the fire disaster environment is established; 2, wavelet finite elements of the passive coating protection system of the LPG storage tank in the fire disaster environment are established; 3, an integral wavelet finite element formula of the passive coating protection system of the LPG storage tank in the fire disaster environment is established; 4, numerical calculation is performed; 5, the experimental test of the coating protection system of the LPG storage tank in the fire disaster environment is performed; 6, the optimal wavelet finite element is selected according to the selection result; 7, fire disaster types, coating materials and structures and flame types are changed, and numerical analysis is performed, so that a coating protection mechanism of the LPG storage tank in the fire disaster environment can be found; and 8, a known LPG storage tank coating protection system is designed and optimized, so that the explosive dangerousness of the LPG storage tank in the fire disaster environment can be decreased.

The invention discloses a driving servo grid damping device for vibration damping control of a building structure. The driving servo grid damping device for the vibration damping control of the building structure comprises a water box, an acceleration sensor and a control system. The water box comprises a box body, N group grid damping units with N group same structures in the box body, the box body are divided into N+1septums by the N group grid damping units, and the adjacent septums are in communication with each other; the grid damping unit comprises an outer frame, grid blade shafts and driving grid blades, the outer frame is longitudinally installed in the box body, a plurality of grille blade shafts are mounted on the outer frame in a vertical mode, the grille blade shafts are arranged at equal intervals in a linear shape, the driving grid blades are fixedly arranged on the grid blade shafts, the box body is also provided with two water box inlet-outlet valves, the two water boxinlet-outlet valves distribute in a diagonal mode, and the control system is correspondingly connected with the water box inlet-outlet valves and the grid blade shafts. According to the driving servogrid damping device for the vibration damping control of the building structure, the damping of the water box can be adjusted, and the energy dissipation and vibration damping function can be achieved.

The invention belongs to the technical field of non-linear hybridized optical materials, in particular relates to a method for preparing a rare-earth beta diketone-base functionalized non-linear optical composite material. The method comprises the following steps of: modifying beta diketone organic molecules respectively by an organic synthesis method to obtain a functionalized molecule bridge and synthesize para-styryl pyridine of organic small molecules; further assembling beta-diketone organic bridge molecules, the organic small molecules and rare-earth ions into a rare-earth coordination complex by coordination bonds; and adding tetraethoxysilane to make the rare-earth coordination complex subjected to co-hydrolytic poly-condensation, and obtaining xerogel by a sol gel method. By the method, the organic molecules having an electronic conjugated system and an electronic transfer structure and the rare-earth ions are connected by coordination reaction, and the rare-earth ions are connected with the organic bridge molecules at the same time, so organic matters, inorganic matters and rare earth are bonded by high covalent bonds and coordination bonds on molecular level, and an optical composite material which is stable in chemical and thermo-mechanic property, regular in surface appearance and non-linear is obtained. The method for preparing the rare-earth beta diketone-base functionalized non-linear optical composite material has the advantages that: experimental conditions are mild; the optical composite material can be directly obtained at room temperature; operability is high; repeatability is good; the quality of the obtained optical composite material is stable; and the appearance is regular.

In order to improve the level of automatic control on a coal mill, the invention adopts a novel fuzzy control method for a direct-fired coal mill. A fuzzy controller having the intelligent properties is adopted by the fuzzy control part to realize the method, therefore, the coordinated operation of the coal mill and a boiler can be carried out and the operation of the coal mill can be economical and efficient.

The present invention provides a method, system and electric vehicle for estimating the remaining cruising range of an electric vehicle, wherein the method includes: acquiring the discharge current and discharge voltage of a power battery, and calculating the current discharge energy of the power battery according to the discharge current and discharge voltage ; Obtain the state of charge and the number of charges and discharges of the power battery; input the state of charge, the number of charges and discharges of the power battery and the total discharge energy of the power battery per unit time into the neural network to obtain the cruising range compensation coefficient; when the vehicle is in a driving state , calculate the driving distance of the vehicle per unit time; obtain the remaining cruising range of the vehicle according to the driving distance of the vehicle per unit time, the cruising range compensation coefficient, the state of charge of the power battery, and the difference between the state of charge of the power battery before and after the unit time. The method of the invention can accurately calculate the remaining cruising range of the electric vehicle.

The invention discloses an air spring vibration isolator with a diaphragm. The vibration isolator comprises the inner diaphragm and a shell, damping pores are formed in the inner diaphragm and divide inner air into an upper part and a lower part, and air exchange between an upper end air bag and a lower end air bag can be achieved through the damping pores; the upper portion of the shell is designed according to a parabola, the middle of the shell is zigzag, and the bottom of the shell is designed according to a spline. By means of the vibration reduction mechanism of an air spring, the upper air bag is almost closed, high in dynamic response speed and capable of effectively isolating impact vibration, the lower air bag is gradually compressed and closed in the deformation process of the vibration isolator to achieve double-air-bag vibration reduction, the vibration reduction efficiency is high, and the vibration reduction effect is good.

The present invention relates to a large-rigidity smart full-component friction identification servo feeding device and method. The device can separately measure the friction force in the mechanism and accurately identify the friction parameters, and can be installed with most of the current general-purpose torque sensors. Force sensors, grating rulers, switches and proximity switches and other sensors, the new structural design improves the overall rigidity of the device while ensuring measurement accuracy and structural flexibility. The above sensors can be disassembled and replaced. After removing the force sensor and torque sensor, the device is a "ball screw + linear guide" feeding mechanism, which can be used as a comparative experiment of friction compensation to verify the effectiveness of the new method. The invention uses the GMS (generalized Maxwell slip) model to establish a refined friction model for the servo feed system. A new time-domain identification method is adopted, which can effectively identify the friction parameters of each component of the device separately.

The invention discloses a steering gear gap adjusting mechanism and method and a vehicle. The steering gear gap adjusting mechanism comprises a shell, a gear and a rack, wherein the gear and the rack are arranged on the shell; the gear is meshed with the rack, the shell is provided with an adjusting hole, and the adjusting hole is connected with a gap adjusting assembly used for adjusting the gap between the gear and the rack; the gap adjusting assembly comprises a pressing block which is movably connected to one end of the adjusting hole and is pressed on the rack, an adjusting screw plug which is in threaded connection to the other end of the adjusting hole, and a lining which is positioned between the pressing block and the adjusting screw plug; in the initial state, the initial gap of the steering gear is adjusted by adjusting the initial position of the adjusting screw plug, and the lining is pre-compressed to be bent and deformed; in the working state, the gap between the gear and the rack is eliminated through deformation of the lining. The gap change of the steering gear under the bumpy road condition can be quickly responded, the process is stable, and abnormal sound is reduced.

In order to improve the level of automatic control on a coal mill, the invention adopts a novel neural network control method for a direct-fired coal mill, so that the coordinated operation of the coal mill and a boiler can be carried out and the operation of the coal mill can be economical and efficient.

The invention relates to a rolling tool (2) for producing convex teeth on a gear (5) by transverse rolling, in particular for compressing the teeth of the gear (5) at least in some areas, comprising a tool body (6), which has tool teeth (7) projecting radially outward for meshing with the teeth of the gear (5) to be rolled, wherein at least some areas of the tool teeth (7) are concave in the axial direction in the area of the tooth flanks.