187566 results about "Electric machine" patented technology

The invention relates to the technical field of motor control, in particular to a permanent magnet motor current control system based on predictive compensation, which comprises a thermal field identification module, a response offset identification module, a correction track generation module, an amplitude limiting interval decision module and a compensation instruction output module. According to the method, a dynamic prediction correction mechanism is established based on thermal field characteristics and a response error trend, real-time adjustment of a current track of the permanent magnet motor is realized, a three-dimensional space thermal load curved surface is constructed by means of a stator temperature rise curve, a permanent magnet temperature change rate and driving torque fluctuation, and transient influence of thermal working condition change on magnetic performance of the motor is reflected. A multi-dimensional prediction compensation path is integrally constructed through interaction among multiple thermal field parameters, electromagnetic response variables and time sequence feature points, the response precision and control stability of the permanent magnet motor under the dynamic working condition are improved, the magnetic performance attenuation influence caused by thermal drift is reduced, and meanwhile the tracking consistency under current track disturbance is improved.

The invention provides a brushless motor attitude detection and balance control method and system based on a gyroscope, and relates to the technical field of control, and the method comprises the steps: collecting angular velocity and acceleration data through a six-axis gyroscope, carrying out the noise reduction through wavelet transform, and carrying out the attitude calculation through the combination of an extended Kalman filter and a quaternion algorithm. A rotor position signal is obtained through a magnetic encoder, nonlinear compensation is carried out, and rotating speed data are calculated. A motor state is modeled by adopting a long-short-term memory network, a double-layer adaptive fuzzy neural network controller is constructed, and attitude error compensation and rotation speed fluctuation suppression are realized. A controller model is optimized through particle swarm optimization and a genetic algorithm, a compensation current vector is corrected in real time, and the control precision and stability of the brushless motor are improved. According to the method, the operation efficiency and the dynamic response capability of the brushless motor are effectively improved.

The invention relates to the technical field of motor control, and discloses a control method and system of a permanent magnet direct current brushless slotless motor. The method comprises the following steps: performing temperature compensation and signal filtering on voltage data of a Hall sensor to obtain rotor position information and temperature characteristic data; performing magnetic field intensity dynamic compensation calculation according to the rotor position and the temperature data to obtain magnetic field intensity parameters; adjusting the amplitude and phase of the three-phase current according to the magnetic field intensity parameter, and generating a current control quantity; extracting and compensating a harmonic component to obtain a torque smooth control instruction; all losses are calculated and optimized, and efficiency optimization parameters are generated; and performing feature extraction and anomaly judgment on the operation parameters, and outputting a protection control strategy. Accurate detection of motor position signals, stable control of torque, optimal control of loss and real-time monitoring and protection of abnormal states are achieved under the high-temperature working condition, and therefore stable operation and the service life of the motor under the high-temperature environment are guaranteed.

The invention provides a parameter self-tuning control method for a permanent magnet synchronous motor, and relates to the technical field of synchronous motor control, and the method comprises the steps: firstly, monitoring a dynamic operation data set, including stator current, rotor flux linkage, rotating speed fluctuation quantity and load change characteristic parameters, of the permanent magnet synchronous motor in real time; secondly, feature relevance mapping is carried out based on multiple parameter combinations in the dynamic operation data set, initial parameter adjustment sets are generated, and each initial parameter adjustment combination comprises the mapping relation between the motor operation state and the target response index; dividing a plurality of parameter adjustment subsets according to the parameter correlation degree, configuring a dynamic error range, extracting a positive adjustment parameter from the first subset corresponding to the first operation state, and extracting a negative adjustment parameter from the second subset with the low correlation degree; and finally, training a dynamic parameter adjustment model by utilizing the positive adjustment parameters and the negative adjustment parameters, generating an optimized real-time parameter setting instruction set, realizing intelligent self-setting of the parameters of the permanent magnet synchronous motor, and improving the running performance of the motor.

The invention provides an electricity price-based permanent magnet motor energy storage and optimization operation method and system, and relates to the technical field of motor energy storage and optimization operation, and the method comprises the steps: predicting the power of a motor through a deep belief neural network, predicting the electricity price through a space-time diagram convolutional neural network, and quantifying a system error in combination with a Gaussian mixture model, based on a prediction result, performing global optimization by adopting a quantum genetic optimization algorithm to obtain an initial optimization strategy set, applying the initial optimization strategy set to a meta-heuristic hybrid optimization model, generating a time sequence association control strategy, performing system modeling through a hybrid Gaussian-hidden Markov model, and constructing a double-layer action evaluation control network to generate an operation control instruction; a distributed reinforcement learning framework is used for cooperative control, and an optimal control strategy is obtained based on adaptive dynamic programming and a meta-learning strategy migration mechanism.

The present invention belongs to the technical field of machining and punching, and in particular relates to a surface pressurized punching device for anode plate machining. The surface pressurized punching device comprises a workbench of a table structure, a machine unit mounted on one side of the workbench, and a rack welded to the table top of the workbench, wherein an operation platform is fastened to the table top of the workbench and inside the rack by means of bolts, and clamping plates which are oppositely arranged are slidably mounted on two sides of the surface of the operation platform; and a hydraulic cylinder is mounted at the center of the surface of the rack, and an output shaft of the hydraulic cylinder running into the rack is fixedly connected to a drill rod by means of a coupler. By means of providing a reaming assembly, an electric motor B is controlled by an external power supply to operate while the hydraulic cylinder drives the drill rod to move, such that the electric motor B drives, by means of a gear A and a chain, a gear B to rotate synchronously while the electric motor B moves with the drill rod by means of an outer frame, thereby driving the drill rod to rotate. Thus, the surface of the drill rod can rotationally grind and finish holes in an anode plate while the drill rod performs drilling, thereby reducing burrs.

Forming an ACM shaft by: forming a base of (i) a thrust shaft having a first section connecting with an ACM tie rod when installed; a second section connecting with an ACM motor rotor when installed; a third section forming a shaft joint that connects adjacent portions of the thrust shaft; or (ii) a compressor rotor shaft having a fourth section connecting with an ACM tie rod support when installed; and fifth section connecting with the ACM motor rotor when installed; forming the base includes: printing polymer surfaces having differing CTSs from polymers disposed against each other; forming a lower support section on the base by printing along the discrete sections a mixture of a third thermoplastic polymer and a catalyst formed with metal; and forming an upper support section on the shaft by depositing on the lower support section, along the discrete sections, via electrolysis deposition, a metallic coating.

The invention belongs to the technical field of motor control, and discloses a control method of a motor for an inverter compressor, which comprises the following steps: embedding a distributed thermocouple array in a motor stator slot to acquire temperature data of the motor, synchronously acquiring operation parameters of the motor, generating a dynamic thermal field characteristic spectrum through a data fusion algorithm, coordinates of the hot spot areas with the temperature abnormally increased are marked, a dynamic correlation model is established, and heat conduction characteristic parameters in the dynamic correlation model are updated through a sliding window algorithm; outputting a predicted temperature rise curve through the dynamic correlation model, adjusting a PWM control strategy of the inverter, inputting the PWM control strategy to a motor driving unit to execute preliminary regulation and control, collecting feedback data to generate a multi-dimensional feedback feature vector, iteratively optimizing a combined weight of a switch interval compensation amount and a harmonic injection strategy through a gradient descent algorithm, and performing harmonic injection control. And a global optimal strategy considering the heat dissipation efficiency and the operation stability is formed, and the operation stability and the energy efficiency level of the inverter compressor under various working conditions are remarkably improved.

The invention provides an electric engine, a control method, a related device, a motor controller and an aircraft, and relates to the technical field of aircrafts. The electric engine comprises a power motor, a heat dissipation system and a control module, a cavity is formed in the power motor, the control module is integrated in the cavity, the space occupied by the electric engine is reduced, and therefore the size of the aircraft is reduced; the control module comprises at least three integrated driving modules, part of the driving modules are electrically connected with the power motor so as to control the power motor, part of the driving modules are electrically connected with a variable pitch motor of the propeller so as to control the variable pitch motor, and part of the driving modules are electrically connected with a heat dissipation motor in the heat dissipation system so as to control the heat dissipation motor. The performance and efficiency of the electric engine are improved through unified integrated control over the power motor, the heat dissipation motor and the variable pitch motor. And through a unified control architecture, the system design is simplified, the development and maintenance cost is reduced, and the maintainability of the electric engine is improved.

The invention relates to an intelligent monitoring alarm method and system for a motor controller, and the method comprises the steps: obtaining an internal circuit signal and a body vibration signal of the motor controller, carrying out the combined noise analysis, and generating a dynamic noise baseline; performing component fault identification based on the dynamic noise baseline and the internal circuit signal to obtain a fault precursor current feature; performing component impact response separation based on the dynamic noise baseline and the body vibration signal to obtain hidden fault vibration characteristics; performing component association mapping on the fault precursor current feature and the hidden fault vibration feature to obtain an internal fault component identifier; and performing alarm analysis based on the fault component identifier, the fault precursor current feature and the hidden fault vibration feature to obtain a graded alarm decision. According to the invention, early fault features can be captured more sensitively, and false alarms and missing alarms are reduced.

The invention provides a permanent magnet motor and a variable-frequency scroll compressor, and relates to the technical field of scroll compressor design and manufacturing, and the permanent magnet motor comprises a stator iron core and a rotor iron core; the stator iron core comprises stator slots which are uniformly distributed along the circumference, copper windings are embedded in the slots, stator yokes which are uniformly distributed are arranged outside the bottom of each slot, each stator yoke is provided with an arc-shaped long slot, stator teeth are arranged between every two adjacent stator slots, and the tops of the stator teeth are sunken to form through-flow slots; the rotor core is internally provided with magnetic steel grooves which are uniformly distributed, two same first magnetic isolation grooves are arranged between two adjacent magnetic steel grooves, magnetic steel is arranged in the magnetic steel grooves, and the top of each magnetic steel is provided with two second magnetic isolation grooves which are symmetrically distributed. The outer side radius Rs1 of the stator core, the inner side radius Rs2 of the stator core and the axial length Lis of the stator core meet the following conditions: 1.282 < = Lis / (Rs1-Rs2) < = 2.778, and 34 < = Rs1-Rs2 < = 39 mm. The power density of the motor can be increased, the cost is reduced, the efficiency is improved, and the harmonic content is reduced so as to suppress torque ripple.

The invention relates to the technical field of brushless motor testing, and discloses a test adjusting method and system for an intelligent brushless motor, and the method comprises the steps: carrying out the real-time monitoring of the current, rotating speed and load characteristics of the brushless motor, obtaining the operation data of the motor, and obtaining a motor working mode recognition result; constructing a motor parameter hierarchical optimization scheme; performing dynamic optimization to obtain a motor adaptive control parameter set; performing rolling optimization solution to obtain a motor prediction control instruction sequence; performing multi-objective optimization calculation to obtain a motor multi-performance balance adjustment scheme; a motor multi-performance balance adjustment scheme is integrated into a digital twin test platform, simulation verification is carried out on the performance of the brushless motor under different working conditions, a motor test adjustment strategy is obtained, the working mode of the motor can be recognized in real time, parameter optimization and performance prediction can be carried out based on historical data and the current state, and the stability of the motor test adjustment strategy is improved. Therefore, the optimal operation state of the motor under different working conditions is realized.

The invention provides a rotor temperature estimation method and device of a motor, a vehicle and a storage medium, and the method is applied to the field of motor temperature monitoring, and comprises the steps: obtaining the current environment temperature, the current shutdown time, the stator loss and the rotor loss of the motor, determining the initial rotor temperature of the motor according to the current environment temperature and the current shutdown duration, and obtaining the temperature rise of the motor by using a preset thermal network model and a preset double-Kalman filter based on the current environment temperature, the stator loss and the rotor loss; and obtaining the actual rotor temperature of the motor according to the initial rotor temperature and the temperature rise. According to the method, the high-precision estimation of the rotor temperature of the motor is realized by establishing the thermal network model and combining the double Kalman filters, the dependence on a hardware sensor is not needed, the cost is reduced, and the reliability and robustness of the system are improved.

The invention discloses a motor operation cycle monitoring and warning method and system, and relates to the technical field of motor monitoring, and the method comprises the steps: collecting motor operation data in real time through employing a distributed sensor network, and carrying out the analysis and processing of the collected original data through employing an edge computing device; transmitting the analyzed and processed data to a cloud data center, carrying out deep learning model training and feature extraction, and dividing a motor operation cycle based on the extracted features; and performing multi-dimensional anomaly detection on each divided operation cycle to generate an anomaly index, and performing motor operation cycle monitoring alarm according to the obtained anomaly index. The real-time performance and the reliability of the system can be improved. Compared with a traditional rule-based method, the method is more flexible and accurate, state changes of the motor can be evaluated more comprehensively, an early warning signal is sent out in time, and unnecessary downtime and maintenance cost are reduced.

The invention discloses a flywheel energy storage system control method based on data center photovoltaic power supply, and belongs to the technical field of power system and new energy grid-connected control, and the method comprises the steps: obtaining the output prediction data of photovoltaic power generation, the real-time load power, the voltage fluctuation parameter of a commercial power grid, and the real-time rotating speed state of flywheel energy storage; generating a power gap predicted value by taking the real-time rotating speed state of flywheel energy storage as a dynamic constraint variable; generating a flywheel commercial power cooperative control strategy according to the commercial power voltage fluctuation parameter; the temperature change rate of the flywheel motor is detected in real time, and a control instruction is generated; and synchronously sending the control instruction to the photovoltaic inverter and the flywheel motor, adjusting the parameters of the photovoltaic inverter and the flywheel rotating speed response data, and dynamically updating the control parameter set. According to the invention, a dual adjustment mechanism of flywheel rotating speed dynamic constraint and voltage fluctuation ratio weight distribution is adopted, and a temperature gradient harmonic collaborative suppression strategy is combined, so that millisecond-level power compensation response can be realized, the power grid dependence degree is reduced, and the service life of an energy storage system is prolonged.

An actuator, relating to the technical field of robots. The actuator comprises: a speed reducer shell (1), a planetary speed reducer (2) and an output-end supporting bearing (3), wherein the speed reducer shell (1) is provided with a connecting flange (101) and a connecting section (102), which is located on an inner side, the planetary speed reducer (2) is provided with a ring gear flange (2011) located on an outer side of a ring gear (201), the ring gear flange (2011) is arranged on one side of the connecting section (102), and the output-end supporting bearing (3) is arranged on the other side of the connecting section (102) and is connected by means of a fastener; an electric-motor rotor (4) and an electric-motor output shaft (5), the electric-motor rotor (4) being arranged on an outward extension portion of the electric-motor output shaft (5), and the electric-motor output shaft (5) being fixedly connected to an input end of the planetary speed reducer (2); and an electric-motor housing (6) and an electric-motor stator (7), wherein the electric-motor housing (6) is provided with a connecting end (601), the electric-motor stator (7) is arranged in the electric-motor housing (6), and the connecting end (601) is fixedly connected to the connecting flange (101).

The invention discloses a sampling implementation method and system suitable for motor protection quick response, belongs to the technical field of motor protection, and can increase the sampling frequency and improve the quick response of motor fault protection. Comprising the steps that motor phase current and bus voltage are collected, after anti-aliasing filtering is conducted, parallel sampling is conducted through a main ADC module and a redundant ADC module which are independently configured, and the following operations are synchronously executed based on a double-buffer-area framework: in a first buffer area, a compensation coefficient updating period is dynamically adjusted, and convergence is restrained; in the second buffer area, generating a voltage gradient prediction sequence, and compensating data abrupt change; when the harmonic frequency spectrum amplitude or the voltage gradient prediction sequence exceeds the limit, an oversampling mode is triggered, a redundant ADC module is allocated to load a multi-order digital filter, and an independent hardware acceleration unit is started to process harmonic compensation and gradient prediction in parallel; and generating a dynamic safety envelope, and if the gradient extreme value in the preset continuous window breaks through the safety envelope, generating an overvoltage fault signal.

The invention relates to the technical field of motor control, in particular to a variable frequency motor dynamic adaptive control method and system based on multi-parameter analysis. The method comprises the following steps: collecting a multi-dimensional electrical operation monitoring parameter flow of a variable frequency motor, carrying out multi-parameter nonlinear correlation analysis and parameter topological correlation reconstruction, and constructing a multi-dimensional feature topological correlation network; a variable frequency motor multi-working-condition travel history database is obtained, multi-working-condition disturbance transient response analysis is carried out, multi-modal behavior prediction evolution is carried out based on the multi-dimensional feature topological association network, and a dynamic multi-modal behavior prediction engine is constructed; and acquiring multi-part electromagnetic sensing parameters of the motor, and performing abnormal electromagnetic intensity fluctuation detection and abnormal part power loss calculation to obtain abnormal part power loss characteristics. The self-adaptive real-time parameter motor control is realized, the energy efficiency of the motor is improved, the maintenance frequency and cost are reduced, and the full-life-cycle optimal control of the motor is realized.

The present invention particularly relates to the field of permanent-magnet electric motors. Disclosed is a permanent-magnet synchronous electric motor with an externally mounted explosion-proof mechanism. The permanent-magnet synchronous electric motor comprises an enclosure, wherein the interior of an explosion-proof housing is divided into a first cavity and a second cavity by means of a first partition plate; auxiliary heat-dissipation fan blades are provided inside the first cavity, and the auxiliary heat-dissipation fan blades are fixedly arranged on a support shaft; the support shaft is in splined connection with an output shaft inside the enclosure; a heat-dissipation explosion-proof mechanism is provided inside the second cavity; and a high temperature display mechanism is provided on a side wall of an outer end of the explosion-proof housing. In the present invention, heat in the explosion-proof housing can be transmitted to sodium bicarbonate particles, and the sodium bicarbonate particles decompose under heat and can absorb heat when decomposing, thereby increasing the heat-dissipation efficiency of the enclosure; when an explosion occurs inside the enclosure, the air pressure and temperature inside the enclosure rapidly increase, and the air pressure can enter the explosion-proof housing and be relieved by means of heat-dissipation holes; in addition, an explosion-proof buffering airbag can play a role in buffering to achieve an explosion buffering function.

The invention provides a servo motor real-time adaptive control method and system based on artificial intelligence, and the method comprises the steps: injecting a tiny excitation signal into a servo motor, collecting temperature and electromagnetic response data under different working conditions, and constructing a multi-dimensional information data set; performing real-time reasoning on the relationship between the temperature gradient and the magnetic path characteristics by using deep transfer learning to obtain multi-dimensional parameter deviation vectors such as stator flux linkage unbalance degree, permanent magnet flux weakening degree and torque coefficient change; generating a multi-scale compensation strategy through a physical enhancement reinforcement learning method and the multi-dimensional parameter deviation vector; and carrying out Lie group transformation processing on the control law under a differential geometric framework, and realizing accurate compensation on the temperature gradient effect through a dual-channel-dual-time scale framework. According to the method, heterogeneous sensing and multi-dimensional compensation strategies are adopted, the problem that the control precision of a traditional method is insufficient under the complex temperature gradient condition is solved, and the high-precision motion control performance is maintained under the dynamic working condition that the temperature distribution of the motor is rapidly changed.

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

A method of operation is provided. During this method, a first power system of an aircraft powerplant is operated to provide a first quantity of power and / or torque to drive rotation of a propulsor rotor. A second power system of the aircraft powerplant is tested during the operating of the first power system. The second power system is configured as or otherwise includes an electric machine. The testing of the second power system includes: signaling the second power system to use the electric machine to provide a second quantity of power and / or torque to further drive the rotation of the propulsor rotor; determining an operational parameter of the aircraft powerplant following the signaling; and evaluating operability of the second power system by comparing the operational parameter to a threshold.

The invention provides a test method and device for a motor active short-circuit relay, and a storage medium. The method includes the steps: performing the zero speed detection of a motor after a motor controller completes a low-voltage power-on operation, wherein when the motor controller is powered down, a first relay and a second relay are both switched on; controlling the second relay to be turned on if the motor passes the zero speed detection, and injecting a first excitation signal at the control ends of a first phase winding and a third phase winding through the motor controller; performing injection detection of the first excitation signal to determine whether the first excitation signal is successfully injected or not; controlling the first relay to be turned on if the first excitation signal is successfully injected, and obtaining a voltage across two ends of the first relay; and judging whether the power-on test of the first relay is successful or not according to the voltage across two ends of the first relay. The method can realize the turn-on test of the short-circuit relay, and ensures the reliability of the active short-circuit function of the vehicle motor duringdriving.

The invention relates to the technical field of single-phase asynchronous motors, and discloses an electronic soft start control method for a single-phase asynchronous motor, which accurately controls the start process of the motor by combining an MCU (Microprogrammed Control Unit) with an electricity metering chip and a silicon controlled rectifier technology. After the system is powered on, the MCU control unit firstly carries out initialization and reads initial circuit parameters collected by the electricity metering chip, and whether starting conditions are met or not is judged based on the parameters. Once the starting condition is confirmed to be met, the MCU sequentially triggers the auxiliary silicon controlled rectifiers to switch on the starting winding and then triggers the main silicon controlled rectifiers to switch on the main winding, so that the motor enters a running state. As the motor reaches a stable operation state, the MCU control unit closes the auxiliary silicon controlled rectifier to reduce unnecessary energy consumption, and adaptively adjusts the conduction time of the starting winding according to the actual load condition, thereby ensuring that the whole starting process is stable and efficient.

The invention relates to the technical field of dust collector control, and discloses a multi-motor cooperative speed regulation and energy efficiency optimization control method and device for a dust collector, and the method comprises the steps: monitoring the rotating speed, current, voltage, temperature and other operation parameters of a plurality of motors in real time, and determining the working load state of each motor through a load recognition model. Different cooperative speed regulation strategies are matched according to load states, such as PID control for low loads, fuzzy logic control for medium loads and model prediction control for high loads. A dynamic weight distribution algorithm is used for adjusting the target rotating speed, and an energy efficiency optimization algorithm is used for optimizing power distribution. Meanwhile, environmental parameters are considered, and control parameters are optimized through a self-adaptive parameter adjustment model. And the system also has the functions of adjusting strategies according to load fluctuation and power consumption, motor priority ranking during high load, energy efficiency algorithm parameter optimization, rotating speed adjustment during filter screen blockage, motor state monitoring and prediction and the like, so that accurate speed regulation and efficient energy conservation are realized, and the performance and the intelligent level of the dust collector are improved.

A motor rotor production device of the present application comprises a rotating shaft hopper (10), a bearing member (30), and a rotating shaft conveying member (20) arranged between the rotating shaft hopper (10) and the bearing member (30); a rotating shaft discharge port (11) is arranged at the end of the rotating shaft hopper (10) close to the rotating shaft conveying member (20); the rotating shaft conveying member (20) is capable of moving along a first direction relative to the rotating shaft hopper (10) and the bearing member (30); the side of the bearing member (30) along the first direction is provided with a first rotating shaft clamping position (50); the rotating shaft conveying member (20) is provided with a first material receiving position (21) and a second material receiving position (22) arranged along the first direction; when the rotating shaft conveying member (20) moves to a first position along the first direction relative to the rotating shaft hopper (10), the first material receiving position (21) is arranged in alignment with the first rotating shaft clamping position (50), and the second material receiving position (22) is arranged in alignment with the rotating shaft discharge port (11); and when the rotating shaft conveying member (20) moves to a second position along the opposite direction of the first direction relative to the rotating shaft hopper (10), the first material receiving position (21) is arranged in alignment with the rotating shaft discharge port (11). According to the motor rotor production device of the present application, the feeding efficiency of the rotating shaft can be improved, and the motor rotor production device has a simple structure and is easy to debug.

The invention discloses a real-time monitoring and early warning method and system for a variable-frequency energy-saving motor, and the method comprises the steps: collecting the operation parameters of the motor in real time through a multi-source sensor group disposed on the variable-frequency energy-saving motor; determining a current motor working condition according to the motor operation parameters, and determining a real-time load rate of the motor based on a preset load working condition correlation model; acquiring historical operation data of the variable-frequency energy-saving motor, and generating a dynamic threshold curve according to the historical operation data; generating a dynamic threshold according to the motor operation parameters and the dynamic threshold curve, performing health degree calculation on the variable-frequency energy-saving motor based on the dynamic threshold, and determining a life prediction value of the variable-frequency energy-saving motor according to the health degree; and when the life prediction value of the variable-frequency energy-saving motor is lower than a preset value, automatically triggering a frequency reduction instruction, switching to a field-oriented vector control mode, and synchronously generating an alarm and equipment health file of the variable-frequency energy-saving motor.

A power machine can include a frame, a lift arm, and one or more electrical devices for control of one or more work elements. An electrical tilt actuator can be secured to the lift arm to change an attitude of an implement carrier, an electrical lift actuator can be secured to the frame to raise and lower a lift arm, an electrical drive motor can be mounted to a track frame to move a track, or a battery assembly and electrical control module can be secured to the frame, including rearward of an operator station.

Disclosed herein is a system, apparatus and method directed to automated adjustment of a positioning of a drainage bag based on at least an amount of tension within a tubing extending from the drainage bag. The system, apparatus and method pertain to an automated drainage bag actuation system that includes at least a first railing, a control box coupled to the first railing and configured to receive mounting fasteners that couple a drainage bag to the control box, the control box including a tension load cell sensor, a first motor, and circuitry electrically coupled to the first motor and the tension load cell sensor. The circuitry is configured to receive data from the tension load cell sensor indicating an amount of tension in tubing extending from the drainage bag and transmit one or more electrical signals to activate the first motor causing adjustment of a positioning of the drainage bag.