404 results about "Mechanical system" patented technology

The present invention belongs to the technical field of signal processing, and particularly relates to a multi-source data fusion fault diagnosis method and system based on the DS evidence theory. The method of the present invention comprises: first, collecting multi-source information of a mechanical device, wherein the multi-source information includes vibration data, image data and sound data; respectively calculating corresponding feature indicators; then, using a PCA algorithm to perform dimensionality reduction processing on the indicators; using a Bayesian fault diagnosis model to perform fault diagnosis, so as to obtain a diagnosis result from each sensor; and then, using the DS evidence theory to perform fault fusion diagnosis. The present invention can comprehensively consider the characteristics of various types of data, extract more effective fault indicators, achieve more comprehensive fault identification, and fuse diagnosis results from a plurality of sensors, thereby ensuring the accuracy of final diagnosis. The present invention is suitable for fault diagnosis of various complex mechanical systems.

Embodiments of the present disclosure may include a method of training an electro-mechanical system that includes local trainable AI, the method including training a local AI for a controller of the electro-mechanical surgical device or system with simulated data. Embodiments may also include performing a task or set of tasks or operations with the device or system as controlled, instructed, influenced, or the like by the controller having the local AI system. Embodiments may also include collecting real-life data from the step of performing. Embodiments may also include further training the local AI system and improving the AI simulated data generator with real-life data. Another embodiment relates to a system for providing a user with suggestions during social interactions. Embodiments of the invention may extend across many types of devices and systems, control systems, sensors, types of AI, and so forth, and combinations of the foregoing.

The invention provides a rotating mechanical system performance evaluation and optimization method and system based on system negentropy conversion rate, and the method comprises the following steps: carrying out the numerical simulation of a flow field of a rotating mechanical system through a computational fluid mechanics method, and obtaining the parameters of the flow field; calculating a viscous dissipation entropy yield, a turbulent dissipation entropy yield and a wall entropy yield in the fluid domain based on the flow field parameters; the total entropy yield of the system is obtained through the volume fraction and the wall area fraction of the whole fluid domain; converting the input power of the rotating machinery into an equivalent negentropy flow, and calculating the negentropy conversion rate of the system for evaluating the effective utilization degree of the input power; and evaluating the performance of the rotating machinery system based on the negentropy conversion rate, and identifying a key area of energy loss. According to the method, the negentropy conversion rate result is applied to structural design optimization, running state diagnosis and energy efficiency adjustment of the rotating machinery, and online calculation and dynamic visualization can be realized in combination with real-time monitoring data.

The invention provides a multi-pump zero-displacement hydraulic agile control system and a control method thereof. The system is composed of a hydraulic system, a mechanical system and an electric control system. According to the control method, a multi-pump zero-displacement switching mechanism and a deep reinforcement learning strategy based on an Actor-Critic architecture are fused, the effective oil supply amount is adjusted by dynamically starting and stopping part of hydraulic pumps, a servo motor rotating speed instruction is output in real time in combination with a neural network, and the strong coupling dynamic relation between sliding block displacement and the angle of a swing rod is coordinated. The system switches part of the pumps to a bypass state when approaching balance so as to reduce energy consumption, and starts all the pumps to guarantee recovery capacity when greatly deviating. According to the technical scheme, on the premise of not depending on an accurate mathematical model, agile, stable and energy-saving control over the inverted pendulum type under-actuated system can be achieved.

The invention relates to the related technical field of fault prediction and health management, in particular to a cutting machine fault monitoring method and system fusing vibration and current signals, and the method comprises the steps: obtaining equipment feature parameters, determining a first fault sensitive feature set and a second fault sensitive feature set, and carrying out the correlation verification through combining historical fault data with a tool replacement log, and correcting the deviation of the fault monitoring evaluation function to obtain a fault monitoring evaluation result, and generating a fault monitoring report. The technical problems that the coupling operation state of a mechanical system and an electrical system cannot be completely represented only by depending on a single vibration or current signal, a dominant fault mode is difficult to accurately recognize when a cutting machine has multi-source degradation factors, and fault false alarm and fault missing alarm are caused are solved, first and second fault sensitive feature sets are determined, the fault type recognition precision is enhanced, and the working efficiency is improved. The evaluation result is verified and corrected through historical data and a cutter log, the deviation from the real state of the equipment is reduced, and the technical effects of timeliness and accuracy of operation state sensing and fault early warning of the cutting machine are guaranteed.

The invention relates to a nonlinear damping element based on a Modelica language, and relates to the field of mechanical system modeling and simulation. According to the technical scheme, a novel damping element is designed based on the Modelica language, corresponding damping coefficients can be defined according to different movement speeds of the element, and the limitation of the prior art is effectively broken through; specifically, according to the technical scheme, the element types of the Modelica mechanical library are enriched, the blank of nonlinear damping elements in the library is filled up, and the application range of the library is expanded; moreover, simulation requirements of a nonlinear damping system can be accurately matched, so that the modeling process better fits nonlinear characteristics of a damping coefficient in an actual working condition; besides, free switching between non-linear damping and linear damping can be flexibly realized depending on a speed-damping force two-dimensional number table, the adaptability of the element to different modeling scenes is greatly enhanced, and powerful support is provided for precise modeling of a mechanical system based on Modelica.

The invention relates to a sensor, a measuring device and a measuring method for in-situ dynamic measurement of mechanical properties of a miniature bionic flapping-wing air vehicle, and belongs to the field of MEMS (micro electro mechanical system) mechanical sensors. Based on a micro electro mechanical system (MEMS) processing technology, a six-axis mechanical sensor is designed and prepared, and a measuring device is designed and prepared by integrating the six-axis mechanical sensor, so that integrated assembly of the mechanical sensor and the miniature flexible bionic flapping wing is realized, and in-situ dynamic measurement of the mechanical property of the miniature bionic flapping wing aircraft is realized. The problem that in-situ dynamic measurement of the mechanical property of the bionic flapping-wing aircraft is difficult to achieve through an existing measurement method is solved, and test data support is provided for further optimizing the flapping-wing structure and improving the flight efficiency.

A quick release locking connector system for fluid or mechanical systems. Systems of the inventive subject matter comprise a female connector with an assembly body, a release collar, a release collar spring, ball bearings, a locking collar, and a locking spring. The system also includes a male connector with an insertion end, a locking flare, and a visual locking indicator. The locking flare interacts with the locking collar upon insertion of the male connector into the female connector. The visual locking indicator is covered by the female connector upon insertion. The system provides a secure and reliable connection, reducing the risk of leaks and facilitating easy connection and disconnection of components.

A system for an agricultural machine may include a steering system configured to alter a steering direction of a chassis. A guidance system may be operably coupled with the steering system and configured to alter a steering direction of the machine based on a defined target path for the agricultural machine. A boom assembly may be operably coupled with the chassis. One or more actuators may be operably coupled with the boom assembly and configured to alter a first boom section relative to a second boom section. A computing system may be communicatively coupled to the steering system. The computing system may be configured to receive the defined target path from the guidance system, determine a projected path about the defined target path, generate a steering command based on the projected path, and generate a boom command based at least in part on the steering command and the projected path.

The invention relates to the technical field of new energy automobile braking control, and discloses an electro-hydraulic hybrid electric vehicle braking force coordination control method based on the braking demand change rate, and the method comprises the steps: collecting the opening degree of a brake pedal in real time, and calculating the braking demand torque and the change rate thereof; based on the battery SOC, the braking demand change rate and the vehicle speed, the braking force distribution allowable proportion and the braking torque of the motor / battery power system are determined through a nonlinear mapping module; collecting the pressure state of the hydraulic system and determining the braking torque of the hydraulic system; on the premise that the total braking demand torque is met, the braking torque of a motor / battery power system, a hydraulic system and a mechanical system is distributed in a layered and coordinated mode. The braking intention emergency degree can be dynamically recognized, the braking safety, the response speed and the energy recovery efficiency are considered, and the stability, smoothness and engineering applicability of a braking system are improved.

The invention relates to the field of motor and gear transmission systems, in particular to a method for optimizing design parameters of a transmission gear in an electric drive system.The method includes the steps that firstly, a two-dimensional finite element model of a permanent magnet synchronous motor is established, rotor stepped skewed slots and material magnetic saturation characteristics are accurately simulated, and an external characteristic MAP is generated; then calculating electromagnetic force density based on a Maxwell stress tensor method, mapping the electromagnetic force density to a multi-body dynamic model to construct a transverse coupling model, extracting an ECE reduced-order model based on a permanent magnet synchronous motor two-dimensional finite element model, forming a torsional vibration model in combination with a control algorithm, integrating a rigid-flexible coupling mechanical system, and establishing an electromechanical-rigid-flexible coupling model; and finally, through sensitivity analysis and a response surface model, with vibration acceleration and torsion amplitude as targets and gear strength as constraints, a Pareto optimal solution is solved by adopting a genetic algorithm, electromechanical coupling simulation precision is greatly improved, system vibration is effectively reduced, gear transmission reliability is enhanced, and the method is suitable for design of a high-dynamic-performance electric drive system.

The invention discloses an equivalent verification method for frequency response characteristics of a force balance loop of a micromechanical gyroscope, and belongs to the technical field of micro electro mechanical systems. According to the invention, the low-frequency test signal is injected into the orthogonal suppression electrode, and the hardware symmetry of the I and Q paths is utilized, and the equivalent verification of the angular velocity detection main path is realized through the calibrated mapping relation. According to the method, the dependence of a traditional method on a high-cost angular vibration table is innovatively avoided, convenient and accurate testing of the frequency response characteristic can be directly achieved on the chip or module level, and the method has important significance on improvement of gyroscope performance testing efficiency and reduction of design cost.

The invention discloses a multi-unmanned aerial vehicle cooperative heavy-load hoisting system and method, and belongs to the technical field of unmanned aerial vehicle cooperative operation. The system comprises a power module, a connecting mechanism and a bearing support. The power module is connected with the bearing support through the connecting mechanism to jointly form a complete mechanical system used for lifting goods. The core of the invention lies in that through modular design, the bearing bracket is used as a core bearing structure, so that the load is effectively dispersed, and the problems of wake flow interference, rope vibration, difficulty in keeping a safe distance and the like existing in a traditional multi-unmanned aerial vehicle rope direct connection scheme are avoided. The system has high flexibility and expandability, the number and the connection mode of the power modules can be dynamically configured according to the weight and the form of the goods, and the system is suitable for efficient and stable aerial hoisting operation of heavy-load goods of tonnage or above.

A work machine system includes: a machine main body to which a work implement is attached; a travel unit that causes the machine main body to travel; an inclination sensor that senses a degree of inclination of the machine main body; an operator presence sensor that senses presence of an operator; a parking brake that brakes the travel unit; an operation device that receives an operation of activating the parking brake; and a controller that performs, when the operation device does not receive the operation, control to prevent the parking brake from being forgotten to be applied, on conditions that the presence of the operator is not sensed and the machine main body is inclined.

The invention relates to a comprehensive straw recycling device and method. The comprehensive straw recycling device comprises a mechanical system and a control system. The mechanical system comprises a straw pretreatment unit, a drying unit, a combustion unit and a waste gas purification unit which are sequentially connected, the output end of the combustion unit is in transmission connection with an energy conversion mechanism, and the bottom of the combustion unit is detachably connected with a recovery mechanism; one part of heat energy generated by the combustion unit is conveyed to the drying unit; the other part acts on the energy conversion mechanism; the drying unit exchanges heat and then flows back to the combustion unit through a waste heat recovery channel; the waste gas purification unit is used for performing staged purification treatment on waste gas generated by combustion; the control system is electrically connected with various sensing elements of the mechanical system and can be switched between an automatic control mode and a manual control mode. According to the invention, straw energy extraction and by-product recovery can be synchronously carried out, the transfer loss and energy loss are reduced, and the comprehensive utilization rate of straw is improved.

The invention discloses an assembly precision analysis method for a rotary shaft system of a mechanical structure based on a laser tracking measurement system, and in the laser tracking measurement system, the high precision guarantee of an assembled mechanical system is the premise of realizing accurate measurement. In order to obtain the assembly precision of a laser tracking measurement system, the invention provides an assembly precision analysis method based on Jacobi-spinor for a rotary shaft mechanical structure of the laser tracking measurement system. A Jacobian matrix model in the deviation transfer process and a spinor model comprising plane features, cylinder features and plane and cylinder parallel features are combined, a laser tracking measurement system rotating shaft assembly precision analysis model is established, and Monte Carlo simulation is adopted for calculation results to simulate actual assembly errors. A result shows that a difference value between a theoretical assembling condition and an analogue simulation actual assembling condition is 6.79 microns. The result shows that the provided method can qualitatively analyze the assembly precision of the rotating shaft of the laser tracking measurement system.

The invention discloses a nonlinear acoustic transducer control method and system based on an Aubry-Mather set, and belongs to the technical field of acoustic transducers. The method comprises the following steps: firstly, based on an Aubry-Mather set theory, constructing a nonlinear vibration model used for describing nonlinear vibration of a transducer diaphragm; secondly, based on a nonlinear vibration model, regional piezoelectric driving and dynamic phase regulation are carried out to simulate a quasi-periodic fluctuation mode; then, on the basis of fluctuation characteristics disclosed by the nonlinear vibration model, a multi-diaphragm collaborative vibration system is constructed, and quasi-periodic superposition of sound waves is realized by optimizing diaphragm space layout; and finally, based on stiffness parameters in the nonlinear vibration model, integrating a micro electro mechanical system (MEMS) process and a nonlinear material, and realizing equivalent nonlinear stiffness on a physical device through gradient polarization design. The dynamic adaptability, the energy transfer efficiency and the high-frequency output performance of the transducer in a broadband range are effectively improved, and the transducer is particularly suitable for ultrasonic imaging and other high-frequency acoustic application scenes.

The invention discloses a digital twinborn intelligent monitoring platform and method for a small-particle-size vegetable precision seeder. The platform comprises a mechanical system, a detection module, a control module, a communication module and a digital twin module, and the mechanical system comprises a chassis mechanism, a seed metering mechanism and a soil covering mechanism; the detection module comprises speed detection, seeding condition detection and operation time detection, the detection module is carried on a mechanical system, for example, a speed detection sensor is carried on a frame near a tire shaft and is provided with a monitoring point, and a seeding condition detection sensor is placed at a seed falling opening; the control module comprises an STM32 single-chip microcomputer, and the STM32 single-chip microcomputer is connected with the sensor in the detection module and controls the sensor to detect various data. The communication module sends data detected by the detection module to the digital twin module; and the digital twin module visually presents the data and analyzes the health condition of the mechanical equipment through the data.

This invention discloses a fault diagnosis method, system, program product, and computer-readable storage medium for a davit mechanical system, comprising: acquiring vibration data of a ship's davit mechanical system in normal temperature and low temperature environments; performing noise reduction processing on the mechanical vibration data in normal temperature and low temperature environments using a multi-domain fusion adaptive fault feature enhancement and denoising method; dividing the denoised data into a training set, a validation set, and a test set; inputting the training set data into a fault diagnosis model to extract data features of the denoised mechanical vibration data in normal temperature and low temperature environments; using a multi-level class perception multi-kernel adaptive maximum mean difference method to align the extracted data features of the mechanical vibration data in normal temperature and low temperature environments at multiple scales; inputting the data features into a classifier for fault classification, selecting the model parameters that perform best on the validation set, and verifying the model's effectiveness and performance on the test set.

A system comprising a work machine and an attachment removably coupled with the work machine. The attachment includes an identification module comprising a transceiver configured to communicate with a control system of the work machines so as to improve the functionality and efficiency of the attachment and of the work machines.

A mechanical system designed to open iron security bars fixed on windows during emergencies. The system operates through two activation methods: manual and automatic, ensuring rapid escape during fires. It includes a heat-sensitive mechanism that automatically triggers the opening without the need for external power sources. This innovation complies with international fire safety standards and is suitable for retrofitting existing windows or installing in new ones across various building types.

The application relates to the technical field of hydrological monitoring and discloses an intelligent hydrological monitoring system based on Internet of Things, which comprises an upper computer, a flow measurement control platform, a network communication module, a PLC controller, a mechanical system and a flow measurement system. The flow measurement control platform respectively instructs the PLC controller and the flow measurement system through the network communication module. The flow measurement system is used for acquiring hydrological monitoring data and uploading the flow measurement control platform. The flow measurement system comprises an ADCP flow measurement, a radar flow measurement, a time-difference method ultrasonic flow measurement, a propeller current meter and a field water level meter. The flow measurement system selects a flow measurement method according to needs at different measuring point positions in the same section to jointly measure the flow. The flow measurement system is equipped with multiple flow measurement methods and is uniformly controlled and dispatched by the flow measurement control platform, so that the monitoring system has good expandability. On this basis, a corresponding flow measurement scheme can be automatically generated according to different water level levels, the advantages and disadvantages of various flow measurement methods are complementary, and the detection precision is further improved.

The utility model discloses an analog quantity steering seat of a mechanical part. The analog quantity steering seat comprises a steering seat body, an analog quantity signal transmission unit and a fixing plate. According to the steering seat, angle conversion between mechanical parts is achieved through the steering mechanism, and meanwhile analog quantity signals are stably and accurately transmitted through the analog quantity signal transmission unit. The analog quantity signal transmission and angle conversion device is simple in structure, convenient to install and suitable for various mechanical systems needing analog quantity signal transmission and angle conversion.

The utility model discloses an anti-vibration traction section of an underground tractor. The anti-vibration traction section solves the problems that a sealing ring on the periphery of a transmission shaft is abraded and fractured and dynamic sealing fails due to vibration of an existing traction section. According to the technical scheme, the traction device comprises a mechanical system, a traction wheel driving assembly and a power system which are sequentially connected, the power system is installed in a shell and comprises a traction motor, a speed reducer and a transmission shaft which are connected, and an output shaft of the speed reducer is connected with the traction wheel driving assembly outside the shell through the transmission shaft; bearings located at the opening of the shell are arranged at the two ends of the transmission shaft, the outer side bearing is a sealed bearing, and the inner side bearing is a linear bearing; and at least one sealing ring is arranged on the periphery of the transmission shaft between the two bearings. The utility model has the advantages of extremely simple structure, good sealing effect and good stability, effectively reduces the vibration of the transmission shaft, improves the heat exchange cooling rate in the shell, and prolongs the service life of equipment.

The invention belongs to the technical field of oil pumping unit driving system control, and provides a multi-energy confluence balance system for an oil pumping unit and a control method. Wind energy is directly converted into hydraulic mechanical energy by constructing a wind-liquid energy conversion subsystem driven by a wind wheel, and mechanical rotating power is output through a bidirectional variable hydraulic motor; direct and efficient coupling of unstable wind energy and rotating mechanical systems such as an oil pumping unit is achieved, and secondary conversion loss of energy is avoided; aiming at the periodic change of the load of the oil pumping unit, the system integrates a hydraulic secondary balance power subsystem, adopts a control strategy based on working condition mode recognition and multi-target dynamic optimization, and can automatically recognize the mode and call a matched optimization control law according to the real-time wind speed, the energy state of an energy accumulator and the load demand by defining multiple working condition modes. Therefore, wind energy, energy of the energy accumulator and electric energy of a power grid are intelligently coordinated, and power distribution of energy efficiency according to an optimal principle is realized.

A method for adapting a causal FIR filter is provided. The causal FIR filter is configured to estimate velocities by filtering position measurement data in accordance with a frequency response of an electro-mechanical system involved in a task. The method uses a processor coupled with stored instructions to implement the method. The stored instructions, when executed by the processor, carry out steps of the method. The method includes collecting a sequence of position measurement data and a corresponding sequence of ground truth velocities of a component of the electro-mechanical system performing the task. The method further includes adapting the causal FIR filter for estimating velocities of the component performing the task by updating one or more coefficients of the causal FIR filter to reduce a difference between the sequence of ground truth velocities and estimated velocities produced by filtering the sequence of position measurement data by the causal FIR filter.

The invention relates to the technical field of permanent magnet direct-drive fans, and discloses a permanent magnet direct-drive fan modeling method considering a mechanical system and related equipment. A mechanical system transfer function and a complete electrical system transfer function including a permanent magnet synchronous generator stator loop, a machine side converter, a grid side inverter and the like are established; a permanent magnet direct drive fan small signal admittance model is constructed, the defect that a previous model neglects a mechanical system or part of an electrical system is made up, the model can accurately reflect the influence of mechanical shafting dynamic characteristics on harmonic transmission of an electrical subsystem through electromagnetic torque disturbance, and the accuracy of the fan broadband admittance model is improved. A reliable basis is provided for broadband oscillation analysis of an offshore wind power plant grid-connected system, the new energy delivery capacity is improved, and safe and stable operation of a novel electric power system is guaranteed.

The utility model is applied to the technical field of oil pump durability test, and discloses a six-station oil pump durability test bench, which comprises an equipment rack, a test bench, a test bench and a test bench, and is characterized in that the equipment rack adopts a box type layout and is integrally made of a steel material subjected to plastic spraying treatment; the fluid mechanical system is composed of a constant-temperature oil storage tank, a filter, a tested oil pump, a safety valve and a circulation and station testing pipeline. According to the six-station oil pump durability test bench, the industrial personal computer is matched with the PLC program controller to provide automatic operation control of the whole set of system, and parameters and real-time parameters are set, displayed and recorded on a human-computer interface, so that the functions of dynamic display of the real-time operation state of the system, qualification judgment of test data, protection and alarm of equipment and the like are achieved; related information can be conveniently set and read, meanwhile, in an automatic testing mode, related parameters can be automatically adjusted according to a plurality of preset working condition points, testing is completed, and the influence of the working condition of the oil pump on the testing environment is reduced to the maximum extent.

The utility model discloses a mechanical structure for automatically forcibly opening a vehicle door, which relates to the technical field of vehicle-mounted machinery and comprises a vehicle door plate, one side of the vehicle door plate is connected to the side wall of an A-pillar mounting plate, and a mechanical mechanism for forcibly opening the vehicle door plate is fixedly arranged on one side of the A-pillar mounting plate and is used for forcibly damaging an electromagnetic lock in the vehicle door plate. The forced door opening mechanical mechanism comprises a servo motor and a transmission shaft, an output shaft of the servo motor is fixedly connected with the transmission shaft through a coupler, one end of the transmission shaft is fixedly connected with a worm, and the servo motor is fixedly connected to the A column mounting plate through a motor fixing base. A bearing seat is fixedly installed on one side of the A column installation plate, one end of the worm penetrates through and is rotationally installed in the bearing seat, the device recognizes a vehicle accident through a mechanical system circuit or a detection sensor, a transmission mechanism is driven by an automatic motor, the connecting position of the electromagnetic lock is forcibly damaged, and safety is improved.

The invention relates to the technical field of intelligent diagnosis of mechanical system faults, and particularly discloses a planetary gearbox fault intelligent diagnosis method, which comprises the following steps: S1, collecting a public data set of a planetary gearbox, and dividing the public data set into a training data set and a test data set; s2, industrial white noise filtering processing is carried out on each data set; s3, respectively carrying out normalized dimension removal and decentration processing on each data set; s4, performing kernel principal analysis processing on the data to obtain main features of the fault information; s5, clustering based on a decision tree is established, information of the same fault category is classified into one category according to the Euclidean distance, and a center distance is selected; the center distances of different types of fault information are classified again, and different types of fault information with similar Euclidean distances are clustered into pseudo classes; and S6, repeating the steps S2 to S5 on unknown fault information, and performing KNN classification on the unknown fault information and the pseudo class to realize fault information discrimination of the pseudo class. According to the method, the number of traversal steps can be reduced to the maximum extent, and planetary gearbox fault diagnosis can be rapidly and effectively achieved.