689 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.

The invention discloses a micro-cantilever geometric structure parameter inversion system, method and device, and belongs to the technical field of micro-electro-mechanical systems. According to the system, a dynamic model containing geometry, material and electromechanical coupling nonlinearity is constructed, a PINNs network fused with physical constraints is designed, a staged training optimization strategy is adopted, and efficient inversion of micro-cantilever geometric parameters is achieved. The core of the method is that a nonlinear kinetic equation is used as a constraint to be embedded into a neural network for training, experimental data and physical residual errors are combined to construct a composite loss function, and the problems that a traditional method neglects a nonlinear effect, depends on finite element simulation and is low in inversion precision are solved. The average relative error of inversion of the system is lower than 1%, which is obviously superior to that of a traditional method, and the method can be widely applied to MEMS device design, online detection and closed-loop control scenes.

A diagnostic method localizes technical faults in a motion system that includes a base adapted to receive a motion stage for equipment, a machine frame resting on the floor, dampers adapted to support the base, and an active isolation system arranged between the base and the machine frame. The active isolation system and the base form a mechanical system. The active isolation system includes actuators, adapted to impart six degree-of-freedom (DOF) motion to the base in a reference frame, and inertial sensors adapted to provide a six DOF measurement of the base's motion. The method includes: i) applying a control signal for actuating or contributing to the actuation of the actuators of the active isolation system to impart a motion to the base; ii) obtaining, with the inertial sensors, a six DOF measurement of the base's motion relative to a reference point; iii) creating a measured process sensitivity matrix of the mechanical system using the six DOF measurement; and iv) determining, based on the measured process sensitivity matrix, whether all the actuators and sensors of the active isolation system are working as expected and / or whether there is a pivot point impeding the movement of the base.

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 discloses a fault analysis method, device and equipment for a rotary drilling rig and a medium, and belongs to the technical field of engineering machinery technologies. The fault analysis method for the rotary drilling rig comprises the following steps: acquiring equipment parameters of the rotary drilling rig, and respectively establishing corresponding mathematical models for a plurality of functional systems of the rotary drilling rig according to the equipment parameters; wherein the functional system comprises a mechanical system, a hydraulic system, a control system and a power system; establishing a model library by utilizing the mathematical model; the simulation models corresponding to all the function systems are connected based on the model library, and a digital prototype of the rotary drilling rig is obtained; the digital prototype is controlled to operate according to multiple fault working conditions, and the component energy loss of the digital prototype under each fault working condition is obtained; and establishing a mapping relationship between the energy loss of the component and the fault type of the fault working condition, and performing fault analysis on the rotary drilling rig according to the mapping relationship. The fault analysis precision and efficiency of the rotary drilling rig can be improved.

The invention discloses a boat hanging frame mechanical system fault diagnosis method and system, a program product and a computer readable storage medium. The method comprises the following steps: acquiring vibration data of a boat hanging frame mechanical system in a normal-temperature environment and a low-temperature environment; performing noise reduction processing on mechanical vibration data in a normal-temperature environment and a low-temperature environment by a multi-domain fusion self-adaptive fault feature enhancement noise reduction method; dividing the denoised data into a training set, a verification set and a test set; training set data is transmitted to a fault diagnosis model, and normal temperature environment mechanical vibration data features after noise reduction and low temperature environment mechanical vibration data features after noise reduction are extracted; respectively aligning the extracted normal-temperature environment mechanical vibration data characteristics and the extracted low-temperature environment mechanical vibration data characteristics on a plurality of scales by using a multi-layer category perception multi-core adaptive maximum mean difference method; data features are transmitted into a classifier for fault classification, model parameters with the best performance on a verification set are taken, and the effect and performance of the model are checked on a test set.

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.

The invention discloses an engineering machinery fault prediction and prevention method based on machine learning, and the method comprises the steps: collecting the multi-source operation data of equipment, and constructing a structured multi-dimensional time sequence; constructing a heterogeneous graph structure based on the connection relation of the equipment components, the control path and the energy transmission path; an improved expansion time convolutional network is adopted to extract node time sequence dynamic features, and node embedding representation is generated through channel attention mechanism weighting; inputting the embedded representation into an edge attention enhanced heterogeneous graph neural network, and fusing an edge type and time offset information to calculate a fault risk score; and constructing a retrieval index mechanism in combination with historical fault cases, generating a candidate set according to similarity matching, and outputting structured prevention suggestions. According to the method, fault risk prediction with higher accuracy can be realized under a complex structure working condition, the early warning response speed and the processing suggestion generation efficiency are remarkably improved, and the operation reliability and the maintenance intelligence level of an engineering mechanical system are effectively enhanced.

A piezoelectric Micro-Electro-Mechanical Systems (MEMS) resonator employs a thin-film piezoelectric layer as an anchor, which eliminates a dominant loss source, anchor loss, which stems from the irreversible mechanical energy radiation through the anchors. By implementing fundamental or higher-order thickness Lame modes (TLMs) in the thickness direction, the piezoelectric resonator exhibits a substantial reduction of thermoelastic damping (TED) and increase of anchor quality factor. The piezoelectric resonator also provides temperature stability by utilizing a substrate with a turnover temperature, minimizing deviation on resonance frequency. This approach enables the use of thin-film piezoelectric materials as anchors, which can be precisely controlled to minimize losses. The piezoelectric resonator's compact design and CMOS-compatibility make it suitable for batch production at a minimal cost per unit. Furthermore, the highly frequency-stable temperature point of the piezoelectric resonator can be used for implementing oven-controlled oscillators for ultra-stable clock generation in various applications.

Provided herein are processes for recycling hydrocarbons in a used high performance lubricant such as wind turbine gear oil. In the present process and methodologies, the used high performance lubricant is not mixed with another type of used oil. The used high performance oil is contacted with a solvent in an extraction process. Contaminates are extracted and circular hydrocarbons are formed. Solvent can be recovered, and the circular hydrocarbon combined with a high performance base stock for use as a high performance lubricant in a mechanical system.

The invention belongs to the field of deep foundation pit intelligent supporting systems, and particularly relates to a deep foundation pit intelligent supporting system based on oblique beam grid and digital twinning and a collaborative construction method.The deep foundation pit intelligent supporting system based on oblique beam grid and digital twinning comprises an oblique beam grid supporting structure composed of two-way crossed steel oblique beams, and the outer layer of each steel oblique beam is a Q355B steel pipe with the thickness not smaller than 12 mm; the inclined beam is filled with ultra-high performance concrete with the compressive strength not smaller than 150 MPa, the inclination angle of the inclined beam ranges from 25 degrees to 60 degrees, and an MEMS micro-electro-mechanical system sensor is pre-buried at a node; and the digital twin platform integrates the geological BIM model and the LSTM neural network prediction model. The bending rigidity is improved through the oblique beam grid supporting structure and the concrete filled steel tube composite beam, the inclination angle ranges from 25 degrees to 60 degrees, force flow transmission is optimized, and micro-strain-level stress monitoring is achieved through the MEMS sensors embedded in the nodes. A digital twin platform and an LSTM model are fused with 12-dimensional parameters, the 72-hour deformation prediction error is smaller than or equal to 1.5 mm, and compared with a traditional experience algorithm, the precision is improved.

The invention relates to the technical field of micro-electro-mechanical system sensors, in particular to an MEMS pressure sensor which comprises a shell, an induction diaphragm and an ASIC signal processing unit, an induction mounting cavity and a signal processing cavity are formed in the shell, an air inlet is formed in the lower end face of the shell, a detection channel and a buffer cavity are formed in the shell, and the detection channel is communicated with the signal processing cavity. The buffer cavity is designed to be gradually expanded from bottom to top; pulse airflow firstly enters the detection channel through the air inlet, and direct disordered impact of the airflow is avoided; then the airflow enters the buffer cavity, the airflow speed and the pressure peak value are gradually reduced and the pulse energy is dispersed by utilizing the characteristic that the cross sectional area of the cavity is gradually increased, and the originally concentrated strong impact force is converted into gentle pressure transmission, so that the abrasion and damage risks caused by the fact that the sensing diaphragm frequently bears the violent pressure are reduced; the structure stability and the sensing sensitivity of the sensing diaphragm can be maintained, and the accuracy of pressure detection and the reliability of long-term work of the MEMS pressure sensor can be guaranteed.

In some examples, a rotary mechanical system, includes a motor, a housing, and a plurality of cooling channels. The housing at least partially encloses one or more components of the motor. The plurality of cooling channels are defined by a plurality of spaces between an external surface of the motor and an inner surface of the housing, and are configured to receive a refrigerant to cool the motor.

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.

Disclosed embodiments include a gantry assembly that has (i) a moveable carriage with a laser head affixed thereto and (ii) two sides (moveable subassemblies) that are connected by a joining subassembly. One side of the gantry has two motors: (i) a first motor (x-axis motor) that moves the carriage along a first axis (x-axis) between the two sides of the gantry, and (ii) a second motor (y-axis motor) that moves the gantry along a second axis (y-axis) perpendicular to the first axis. In some embodiments, the gantry assembly also includes a drive shaft (or alternative drive mechanism) operated by the second motor (y-axis motor) to facilitate movement of the two sides of the gantry together along the second axis (y-axis).

The invention relates to a micro-electro-mechanically movable element (103) for use in a micro-electro-mechanical system (100) and a corresponding micro-electro-mechanical system (100), in particular for use in semiconductor technology equipment. The micro-electro-mechanically movable element (103) comprises a base plate (104) on the side of which facing away from the base structure (101) a mirror plate (105) with a curvature geometry is arranged, wherein the mirror plate (105) is connected to the base plate (104) via a pedestal (106), wherein the geometry of the contact points (107, 108) between pedestal (106) and mirror plate (105) as well as between pedestal (106) and base plate (104) are different. The micro-electro-mechanical system (100) comprises an element (103) that is micro-electro-mechanically movable at least in at least one degree of freedom relative to a basic structure (101) by at least one actuator (102), wherein the micro-electro-mechanically movable element (103) is designed according to the invention.

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 technical field of MEMS (Micro Electro Mechanical System) gyroscopes, and discloses an in-plane rotating MEMS gyroscope, which comprises two driving frames distributed along a second direction; the driving connecting frame is located between the two driving frames; the two coupling frames are distributed in the first direction and are both located in the driving connection frame; each coupling frame is provided with four orthogonal correction electrodes which are symmetrically distributed relative to the first direction and are antisymmetrically distributed relative to the second direction; the two detection frames are located between the two coupling frames; each detection frame is provided with two detection electrodes which are distributed in an anti-symmetric manner relative to the first direction; and the first inclined U-shaped beam can drive the two detection frames to do reverse reciprocating motion along the second direction in the detection mode. According to the in-plane rotating MEMS gyroscope disclosed by the invention, the structure of the MEMS gyroscope is optimized to improve the consistency of motion in a driving mode and inhibit coupling errors, so that the detection performance of the gyroscope is improved, and the in-plane rotating MEMS gyroscope is suitable for application scenes with higher requirements.

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 belongs to the technical field of intelligent fault diagnosis, and particularly discloses a composite fault detection and diagnosis system and method based on a cloud-side-end collaborative AI intelligent agent.The composite fault detection and diagnosis system comprises a terminal sensing layer, an edge operation layer and a cloud brain layer, and a sensing module of the terminal layer collects and preprocesses multi-source industrial signals; an edge layer is embedded into a distributed cooperative Transform which is innovatively designed and is used for extracting features of multiple subsystems and reducing signal interference among the subsystems; the cloud layer takes a large language model as a core and undertakes the functions of reasoning decision, task scheduling and man-machine interaction. The method can dynamically adapt to various tasks such as fault detection, diagnosis and man-machine interaction, the generalization ability of unseen composite fault combinations is improved, the communication cost is reduced, meanwhile, a comprehensive diagnosis report containing causal analysis, risk grading and maintenance suggestions is output, and the method is suitable for system-level composite fault detection and diagnosis of a complex mechanical 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.

A method and a device for detecting a fault in a mechanical system comprising a rotating member and a vibration sensor transmitting a temporal vibration signal. The method comprises processing the temporal vibration signals transmitted over a predetermined period in order to transform the temporal vibration signals firstly into angular vibration signals, then into frequency vibration signals. Next, series of amplitudes are generated, each series being associated with a specific frequency channel and comprising the amplitudes of the frequency vibration signals for this frequency channel. The frequency channels displaying an increasing trend consistent with the fault of interest are then identified. The frequency channels that display an increasing trend are then compared with characteristic frequencies of a known fault of interest in order to check for the possible presence of such a fault in the mechanical system.

The invention relates to the technical field related to medical instruments, and discloses a self-adaptive device capable of automatically enhancing and maintaining the needling feeling of a needling remaining needle, which comprises a needling execution device used for intervening an acupuncture needle which is punctured into the skin and generates the needling feeling; the acupuncture control system is used for recording parameter changes in the needle feeling maintaining process; the installation mechanisms are installed on the two sides of the needling execution device and comprise hook columns and fixing mechanisms, and the needling execution device can be fixed through cooperation of the hook columns and the fixing mechanisms. According to the self-adaptive device capable of automatically enhancing and maintaining the needle feeling of the acupuncture needle, axial pressure and transverse thrust are applied to the acupuncture needle which is punctured into the skin by using a preset control model through an accurate and controllable hydraulic mechanical system, so that the needle feeling is effectively enhanced and maintained for a long time; the device is far away from an electronic and electrical control system, electromagnetic interference possibly brought by electronic equipment can be effectively avoided, and the applicability and safety of the device are greatly improved.

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.