2533 results about "Frequency conversion" patented technology

The invention discloses a high-voltage circuit for an electric flame stove. The high-voltage circuit comprises a PFC circuit, a high-frequency conversion circuit, a boosting transformer, an energy coupling circuit and a voltage doubling circuit which are electrically connected in sequence. According to the EMI filter circuit, common-mode interference and differential-mode interference are filtered out, and pure alternating current input is provided for a back-end PFC circuit; two chips are adopted in the PFC circuit, so that the PFC circuit 300 finally realizes the consistency of the current waveform and the voltage phase; in the other embodiment of the invention, double chips are adopted, so that'fault linkage protection 'is realized; stable discharging of multiple groups of positive and negative electrodes is achieved through multiple groups of single energy coupling capacitors and independent voltage doubling rectifier bridges which are connected in parallel.

The invention provides an offshore wind turbine generator fault diagnosis method and system based on multi-source sensor data fusion. The method comprises the steps that a vibration signal from at least one component of a wind turbine generator is acquired through a vibration sensor; performing time-frequency conversion on the vibration signal by applying synchronous compression wavelet transform to obtain time-frequency representation of the vibration signal; when the reconstruction error exceeds a preset threshold value, it is judged that an abnormal event exists in the vibration signal; obtaining the position of a part corresponding to the abnormal event; starting an image sensor and an acoustic sensor according to the position of the component, and acquiring an image signal and a sound signal of the component according to the image sensor and the acoustic sensor; according to the DS evidence theory, the vibration signal, the image signal and the sound signal, obtaining the confidence of the fault type; the fault type of the component is judged according to the maximum confidence allocation principle, high-resolution time-frequency analysis can be achieved through synchronous compression wavelet transform (SST), and the fault feature identification degree is improved in combination with the self-encoding neural network and the D-S evidence theory.

The invention discloses a sewage treatment information intelligent management method, system and equipment based on the Internet of Things, and relates to the technical field of sewage treatment information management, and the method comprises the steps: 1, collecting multi-source water quality data, initializing sensor equipment, and carrying out the primary processing and caching of the data; step 2, carrying out edge intelligent prediction on pollutant concentration and pollution load sudden increase; step 3, establishing a prediction and control response model, introducing a control strategy generation mechanism based on a rule engine and priority tradeoff, and calculating a dosing dynamic sensitivity value; 4, adjusting frequency conversion of a fan, a dosing module and a reflux pump, and feeding back, collecting and uploading in real time; and step 5, performing artificial intelligence strategy center verification and a digital twinborn simulation strategy, analyzing multi-plant load scheduling and implementing optimization measures, and performing visual interaction in real time. The problem of energy and medicament waste caused by lack of a feed-forward pre-judgment mechanism is solved.

The invention discloses an automobile tubular part inner wall supporting type laser welding device and technology, and relates to the technical field of automobile tubular part machining, the automobile tubular part inner wall supporting type laser welding device comprises a pipe welding base, an inner wall self-adaption supporting unit and a vertical displacement adjusting assembly, radial guide bases are connected to the two sides of the pipe welding base, and a synchronous servo motor is installed on the outer side of the pipe welding base; an internal driving screw rod and a guide sliding rod drive a stroke frame and a bearing supporting plate to achieve radial positioning of the supporting unit, the inner wall self-adaptive supporting unit comprises a driving cabin and a synchronous power source, transmission is achieved through a lead screw, a transmission fluted disc and a vortex transmission cylinder, a sliding adjusting sleeve is pushed, a supporting rod drives an arc face attaching lining plate to open and attach to the inner wall of the tubular part, and the tubular part is fixed. A vertical displacement adjusting assembly is arranged in a frame supporting beam, a variable frequency motor and a fine adjustment motor drive a guide screw rod and a screw rod correspondingly, alignment of a laser welding head is adjusted, a welding slag collecting groove in the center of a base and a detachable storage box are convenient to remove slag, and the welding machine is suitable for welding of tubular parts of multiple specifications.

The invention provides a heat supply digital twinborn intelligent regulation and control method, and relates to the technical field of intelligent regulation and control, and the method comprises the steps: executing millisecond-level high-concurrency numerical simulation according to a dynamic digital twinborn body, so as to obtain a simulation result; based on the simulation result, coupling the electricity price fluctuation data and the weather prediction data, performing future heat supply system multi-working-condition deduction, and dynamically optimizing a heat source unit start-stop combination and pipe network valve opening strategy to obtain a deduction result and an optimization strategy; generating an equipment regulation and control instruction set according to the deduction result and the optimization strategy; and an equipment regulation and control instruction set is issued to an edge computing node, a variable-frequency circulating pump and an electric control valve executing mechanism are controlled, and dynamic closed-loop regulation of the flow and the pressure of the heat supply pipe network is achieved. According to the invention, the pipe network flow and pressure regulation response time can be shortened to a second level.

The invention relates to the technical field of communication network fault diagnosis, and discloses a communication information processing method and device. The method comprises the steps that a voiceprint sensor collects an original signal, and a quantum coding time-frequency matrix is generated through time-frequency conversion and quantum coding; the matrix and real-time circuit diagram data are fused, and topology-fault joint features are generated through feature alignment and wavelet-convolution joint extraction; analyzing the features to reconstruct a node relation graph, and generating real-time updated circuit diagram data through graph optimization; loading an incremental parameter adapter initialization graph neural network based on the data, and executing fault propagation deduction to output fault coordinates and confidence data; generating an incremental parameter adapter according to confidence data federal optimization; and analyzing the fault coordinate matching topology library based on the adapter, and associating the maintenance knowledge base to output a visual repair suggestion. According to the method, fault dynamic deduction is realized, the cross-line generalization ability is enhanced by an incremental learning mechanism, bandwidth occupation is reduced by edge-cloud cooperation, and the fault positioning efficiency and accuracy are remarkably improved.

The invention discloses an electromagnetic ultrasonic resonance thickness measuring method capable of adaptively regulating and controlling sweep frequency step length, which comprises the following steps of: exciting a continuous sweep frequency signal of a certain frequency band by an electromagnetic ultrasonic probe at a variable frequency step length, forming ultrasonic waves on the surface of a workpiece, penetrating the workpiece, and reflecting on the other surface of the workpiece to measure the thickness of the workpiece. The electromagnetic ultrasonic probe receives the reflected time domain signal, time-frequency conversion is conducted on the time domain signal based on the Fourier transform principle, a spectrogram is obtained, and wall thickness information of the current measuring point is calculated according to the frequency difference. However, due to the fact that the processes of frequency sweeping excitation, ultrasonic wave receiving and data processing of a series of waveforms are slow, the real-time performance of measurement can be affected, according to the electromagnetic ultrasonic resonance thickness measurement method oriented to ultrathin wall thickness measurement, frequency domain segmentation is achieved based on signal amplitude recognition, the frequency sweeping step length is shortened near the resonance frequency, and the measurement accuracy is improved. The step length is increased in other frequency bands, full-band equal-step-length frequency sweeping is replaced by variable-step-length frequency sweeping, the frequency sweeping step number is reduced, and therefore the measurement efficiency is improved.

The present application belongs to the technical field of wireless communications and radar systems. Disclosed are a dual-band fusion and multiplexing frequency source, chips, a radio-frequency transceiver, a system, and a device. The system comprises: a full-function millimeter-wave CMOS 4+1 phased array chip, which is connected to an antenna end, and is used for realizing signal processing and frequency conversion between a millimeter-wave signal and a C-band intermediate-frequency signal, performing phase control and gain adjustment on the millimeter-wave signal, and providing an internal frequency source and a calibration function; a C-band front end, which is connected to the antenna end, and is used for receiving or transmitting a C-band signal; a C-band / intermediate-frequency transceiver multiplexing chip, which is used for performing frequency conversion between a C-band or intermediate-frequency signal and a baseband signal in a multiplexing manner, and performing signal processing and gain control on the C-band intermediate-frequency signal; a dual-band fusion and multiplexing frequency source, which is used for providing a local oscillator signal; and an all-digital control logic circuit, which is used for providing a control instruction. The present application improves the efficiency and performance of dual-band joint communications.

According to the power cable multi-defect nondestructive testing method and system based on the broadband impedance spectrum, impedance characteristics of a cable under different frequencies are measured, frequency domain data are converted into time domain data through inverse Fourier transform, and accurate positioning and evaluation of internal defects of the cable are achieved; the invention discloses a power cable multi-defect nondestructive testing method based on a broadband impedance spectrum. The method comprises the following steps: step 1, signal output and acquisition; the method comprises the steps that a broadband impedance spectrum tester is used for outputting a broadband sine wave voltage signal, frequency domain measurement data are collected, and the frequency domain measurement data are impedance data of a cable under different frequencies; 2, carrying out time-frequency conversion; converting the frequency domain measurement data into time domain data through inverse Fourier transform, generating a time-amplitude curve, and analyzing the electrical characteristics of the cable; 3, establishing a defect identification model; analyzing the electrical characteristics of the cable at different frequencies by using the transmission line model, and evaluating the state of the cable; step 4, defect positioning and evaluation; and 5, displaying and analyzing a result.

The invention discloses an intelligent variable-frequency dimming method and system, and relates to the technical field of computer platform load balancing, and the method comprises the steps: establishing communication between a module and a gateway, loading a frequency mapping table, a duty ratio segmentation point, a safety threshold and a forbidden frequency point table, and generating an initialization vector in combination with parameters of a driver and a lamp; collecting current, voltage and optical brightness data at typical brightness points to form a matrix, calculating a risk value and marking a critical point, generating three-section type frequency mapping by combining segmentation points, and performing interpolation correction; and receiving a brightness instruction according to the mapping table to generate a PWM signal, performing slope limiting, edge shaping and micro-jitter frequency processing and outputting, and performing closed-loop frequency correction under real-time sampling. According to the method, by collecting multi-source data and introducing a stroboscopic risk model, critical point identification and three-section type frequency mapping are realized, and frequency continuity and stability are ensured by combining interpolation and forbidden frequency point constraint; on the basis, a PWM signal is generated and optimized, so that self-adaptive dimming is realized in a full-brightness interval.

The invention relates to the technical field of water treatment equipment, in particular to an ultrasonic water treatment equipment control method and system based on variable-frequency vibration waves. According to the method, based on preset fluid working condition parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated, and a vibrator array is driven to generate a composite sound field; a cavitation effect and an activation effect are synchronously excited in a fluid medium through variable-frequency vibration wave signals, so that physical form depolymerization and surface charge distribution change of scale forming substances occur; a shearing effect is formed on a fluid-pipe wall boundary layer, an attached state biological membrane structure is stripped, and the microscopic binding force of a crystallized scale body is loosened; monitoring the dispersion degree of scale-forming substances in the fluid and the state of a boundary layer, and adjusting the frequency band combination and energy distribution of variable-frequency vibration waves to maintain scale inhibition; and continuously optimizing the frequency conversion strategy and the sound field intensity according to the feedback data of the scale inhibition maintenance state. Through intelligent multi-band frequency conversion control of the ultrasonic water treatment equipment, efficient and environment-friendly water treatment and scale prevention effects are realized.

The invention belongs to the field of power transmission line parameter measurement, and discloses a live-line testing device and method for mutual inductance line parameters and zero-sequence impedance parameters. The device comprises a double-circuit line simulation module, a pilot frequency excitation module, a power frequency simulation module, a synchronous acquisition module and a signal processing module. The isolation transformer simulates a double-circuit line, the pilot-frequency power supply provides pilot-frequency excitation signals, the measurement unit realizes synchronous acquisition, and the signal processing module performs anti-interference and amplification processing. The method comprises the steps of line simulation wiring, synchronous time synchronization, pilot frequency signal acquisition, parameter calculation and error verification, and pilot frequency parameters are converted into power frequency parameters by using a frequency conversion formula. According to the invention, power frequency interference can be effectively suppressed in a charged environment, high-precision measurement of zero-sequence impedance and mutual inductance parameters of a mutual inductance line is realized by using pilot frequency excitation and Beidou synchronization technologies, the measurement error is remarkably reduced, the safety and reliability are remarkably improved, and powerful technical support is provided for safe and stable operation of a power system.

The invention discloses an offshore wind power collecting and sending-out system and method based on a multi-port multi-frequency alternating current and direct current hybrid integrated platform, and belongs to the field of power transmission and distribution of power systems. The system comprises an intermediate-frequency, power-frequency and low-frequency wind power collection subsystem, an offshore integrated platform, a direct-current sending-out submarine cable, a low-frequency sending-out submarine cable, an onshore converter station and an onshore frequency conversion station. The various wind power collection subsystems respectively collect wind turbine generator group outputs with corresponding frequencies and send the wind turbine generator group outputs to the offshore integrated platform; the offshore integrated platform converts intermediate-frequency, power-frequency and partial low-frequency electric energy into direct current and then transmits the direct current to the onshore converter station through the direct-current sending-out submarine cable, and the converter station converts the direct current into power-frequency alternating current; and after being boosted, the other low-frequency electric energy is sent to a land frequency conversion station through a low-frequency sending-out submarine cable to be converted into power-frequency alternating current, so that efficient collection and grid-connected sending-out of multi-frequency wind power resources are realized. According to the invention, the problem that a plurality of independent platforms need to be built in a complex multi-point grid-connected scene in the prior art can be solved.

The invention discloses an emergency rescue real-time human body detection method and device based on time sequence motion feature enhancement, and the method comprises the steps: obtaining visible light and infrared image sequences of a rescue region and environment parameters (including smoke concentration and illumination intensity) in real time, and carrying out the spatial registration preprocessing; respectively carrying out frame difference processing on the two types of image sequences, generating a binary motion mask, calculating an optical flow amplitude, and carrying out adaptive fusion according to smoke concentration to obtain a multi-scale motion energy field; human body micro-motion frequency band energy is extracted through time-frequency transformation, a frequency domain dynamic attention mask is generated, and a saliency motion target area is extracted in combination with a multi-scale motion energy field; constructing a double-branch neural network, extracting time sequence motion features and multi-modal appearance features, dynamically distributing weights and fusing the weights, and outputting a human body bounding box and detection confidence; and calculating environment complexity according to the environment parameters, determining a dynamic confidence threshold, verifying a detection result by combining the average temperature of the human body bounding box region, and generating alarm information if a condition is met. The method aims at solving the problems that a traditional method is high in omission ratio and unstable in recognition in a complex environment.

The invention relates to the technical field of material transportation, in particular to a conveying pressure control method and device of a powder and particle pneumatic conveying system. The method comprises the steps that the material humidity, the conveying pressure and the air speed of a frequency conversion fan are obtained; determining a humidity adjusting coefficient; in the pressurization stage, a suppression coefficient is determined according to the current wind speed and the target wind speed; according to the humidity adjustment coefficient and the inhibition coefficient, inhibiting the proportionality item to obtain a target proportionality coefficient; enhancing the differential term in combination with the humidity adjustment coefficient and the pressure deviation to obtain a target differential coefficient; in the pressure reduction stage, the standard humidity is compared with the air speed and the conveying pressure under the material humidity at the current sampling moment and the humidity adjusting coefficient, the integral item is adjusted, and a target integral coefficient is obtained; and adjusting the conveying pressure based on the adjusted PID coefficient. The problem of asymmetry of bidirectional adjustment of pressurization and depressurization can be solved, the adjustment logic is optimized, and the conveying efficiency and stability of pneumatic conveying of powder and particle materials are improved.

The invention relates to an urban rail transit station ventilation and air conditioning system cooperative control method, device and equipment based on dynamic energy efficiency optimization and a medium. Constructing an energy efficiency model of the ventilation and air conditioning system by combining the energy efficiency curved surface characteristics of the water chilling unit and the cubic law power consumption characteristics of the frequency conversion equipment; an intelligent optimization algorithm is adopted, a dynamic scaling temperature feasible domain of chilled water of a water chilling unit and a frequency interaction limitation domain of frequency conversion equipment are constructed, the feasibility of a temperature set value is kept, meanwhile, coupling constraints in the frequency conversion equipment are decoupled, and an optimal parameter combination is solved; and the optimal parameter combination is issued to an execution layer, the actual energy efficiency ratio deviation of the system is monitored in real time, and energy efficiency model parameter re-calibration or iterative optimization is triggered according to a deviation threshold. Therefore, the overall energy efficiency of the ventilation air conditioning system is stably improved, and efficient operation under the dynamic working condition is achieved.

The invention discloses an offshore wind power frequency conversion gathering and sending control method, device and system based on onshore integration, and belongs to the technical field of power transmission and distribution of power systems, and the method comprises the steps: converting first AC electric energy generated by an intermediate-frequency / power-frequency wind power plant into first DC electric energy through an offshore converter station; the first direct-current electric energy is transmitted to a land integration station through a direct-current submarine cable; second alternating-current electric energy generated by the low-frequency wind power plant is transmitted to the land integration station through a low-frequency alternating-current submarine cable; and converting the second alternating-current electric energy into second direct-current electric energy in the land integrated station, carrying out collection and power frequency conversion on the first direct-current electric energy and the second direct-current electric energy, and transmitting power frequency alternating-current electric energy obtained after conversion to a land power grid. Therefore, by implementing the application, the problem that the electric energy cannot be transmitted at low cost due to the fact that it is difficult to directly send the electric energy of different frequencies out of the system for topological combination in the prior art can be solved.

The invention discloses a composite joint control method based on a frequency conversion air source heat pump system, and relates to the technical field of air source heat pump systems, and the method comprises the steps: building an HPF control framework, building a multi-input and single-output control model through machine learning, and coupling a PID feedback signal to generate a composite control basic signal; building load single-step forward prediction is carried out by adopting an LSTM neural network, and a building load prediction value is output through training and calculation of the neural network; the heat pump compressor is subjected to staged joint control; forward control is carried out on the load side circulating water pump; a differential switching mechanism is arranged, and water supply temperature deviation is monitored in real time. According to the variable-frequency air source heat pump composite joint control strategy, an HPF control framework, a compressor staged joint control and differential switching mechanism, load side water pump forward control and equipment cooperative linkage are integrated, model dynamic updating and switching parameter optimization are introduced, and the limitation of a traditional single control mode is broken through.

The invention discloses a permanent magnet frequency conversion terminal health big data fusion and anomaly prediction operation and maintenance management platform, and relates to the technical field of operation and maintenance management. According to the permanent magnet frequency conversion terminal health big data fusion and anomaly prediction operation and maintenance management platform, a data acquisition layer constructs a multi-source operation data set for time sequence synchronization and anomaly uploading; the data fusion and feature processing layer cleans and standardizes a multi-source operation data set, and extracts multi-dimensional features to form an abnormal feature vector; abnormal detection and classification layer fusion dual-channel detection are carried out, and an abnormal event database is established; the anomaly-operation and maintenance mapping and scheme generation layer constructs a three-dimensional sample library, and calculates a mapping similarity value to generate an operation and maintenance strategy; and the operation and maintenance execution and feedback layer issues a work order according to the operation and maintenance strategy and monitors the effect, and performs self-learning optimization based on feedback. According to the invention, the permanent magnet frequency conversion terminal abnormity identification and operation decision-making capability is effectively improved, and the problems of non-association between detection and operation and maintenance, blind maintenance and low efficiency of the existing method are solved.

The invention relates to the technical field of radio frequency, in particular to a radio frequency conversion assembly, and the assembly comprises a baseband processing unit which employs a millimeter wave SoC chip and is used for generating and processing an initial transmitting signal of 79-81GHz and an initial receiving signal of 79-81GHz; the frequency conversion unit comprises an up-conversion subunit and a down-conversion subunit, and the local oscillation synthesis unit is used for generating and providing a local oscillation signal with a fixed frequency; the mode switching and processing system is used for selectively performing down-conversion processing on the echo signal or a target radio frequency signal from an external non-cooperative irradiation source in two working modes and then transmitting the echo signal or the target radio frequency signal to the baseband processing unit; the working mode comprises an active mode and a passive mode.

The invention provides an electromagnetic interference motor-driven frequency converter control method and system and a medium, and relates to the field of motor control, and the method comprises the steps: collecting an electromagnetic interference signal in real time during the operation of a motor-driven frequency converter, generating interference spectrum data, carrying out the dynamic switching adjustment of the frequency converter, and generating an anti-interference modulation instruction; reconstructing a pulse waveform according to the anti-interference modulation instruction to carry out harmonic compensation, carrying out feedback verification based on the optimized driving signal, carrying out electromagnetic interference judgment according to a motor torque fluctuation value, and generating a judgment result; and triggering a parameter updating instruction based on the judgment result, and driving a frequency converter to perform adaptive control through the parameter updating instruction to generate a frequency conversion control result. The technical problem that a frequency converter control method in the prior art is limited in resistance to electromagnetic interference and affects the running stability of a motor is solved. The technical effects of improving the electromagnetic interference suppression capability and ensuring the stable and reliable operation of the motor are achieved.

The invention discloses a motor energy-saving high-efficiency power supply management control circuit, and relates to the technical field of motor electric energy management, and the circuit comprises a frequency conversion module which can carry out multi-path frequency conversion and power supply, and when frequency conversion is stopped, an energy-saving module transmits regenerative electric energy generated by a first motor module and a second motor module to a first battery module and a second battery module, when the sum of the generated regenerative electric energy is larger than a set low-voltage threshold value and smaller than a charging threshold value, the regenerative electric energy is subjected to hybrid superposition processing, power is supplied to a first motor module through an energy-saving module, and meanwhile a detection module detects the voltage states of a first battery module and a second battery module; and according to the full-charge or low-voltage state of the first battery module and the second battery module, the energy storage state and the discharge state of the first battery module and the second battery module are controlled. The energy-saving and efficient power supply management control circuit for the motor can avoid energy waste and improve the utilization rate of electric energy and the energy-saving effect of the motor.

The invention relates to the technical field of new energy grid connection, in particular to a new energy grid-connected inverter system based on a double-stator synchronous motor interface, which comprises a three-phase inverter and a double-stator synchronous motor, the double-stator synchronous motor comprises a first stator, a rotor and a second stator. Planar air gaps exist between the rotor and the first stator and between the rotor and the second stator. The rotor comprises a first rotor and a second rotor which are rigidly connected, the first rotor is axially adjacent to the first stator, the second rotor is axially adjacent to the second stator, and a magnetic isolation ring is arranged between the first rotor and the second rotor; each of the first stator and the second stator comprises a stator core and an armature winding, the first rotor comprises a first rotor core, an excitation winding and a starting winding, and the second rotor comprises a second rotor core and a permanent magnet. According to the invention, the double-stator configuration can realize voltage transformation and frequency conversion functions, and can solve the problems of reduced power grid inertia, insufficient short-circuit capacity, aggravated broadband oscillation risk and the like caused by grid connection of large-scale new energy through power electronic equipment.

The invention discloses a resistance voltage divider calibration system, method and device based on a self-calibration frequency counter and a medium, and relates to the technical field of metering calibration. The system comprises a stabilized voltage source, a resistance voltage divider, a high-speed electronic switch, a voltage-frequency converter, a self-calibration frequency counter, a satellite signal receiver, an electric energy metering chip and a CPU. According to the invention, the output signal of the voltage divider is connected to the voltage-frequency conversion channel through a specific time sequence, the pulse sequence in proportion to the voltage is generated by using the inherent linear characteristic of the output signal, then the pulse sequence is subjected to high-precision counting and comparative analysis through the self-calibration frequency counter, and finally the dynamic correction of the voltage division ratio parameter is realized. According to the technical path, an external reference source and high-precision voltage measurement equipment do not need to be introduced, in-situ calibration of the characteristic parameters of the voltage divider can be completed in a remote mode, and the long-term stability of the high-voltage electric energy metering device in a complex electromagnetic environment is remarkably improved.

The invention relates to the field of homogenizer intelligence, and discloses a homogenizer intelligent pressure increasing and reducing control system based on servo synchronous transmission, which comprises the following steps: extracting the operation inertia difference of each plunger mechanism under a multi-pump parallel structure, generating a synchronous offset vector map, and calculating the pressure increasing and reducing of the homogenizer based on the synchronous offset vector map. Calling a slip registration algorithm and an inertia field decoupling network, extracting reconstructed plunger stroke and pressure response mapping data, constructing a three-dimensional flow-path-stress tensor model, judging whether fluctuation-wear coupling sensitive points exist or not, activating a frequency conversion regulation and control strategy set of a servo driving layer based on a disturbance window and the coupling sensitive points, and carrying out the control of the servo driving layer. And judging whether structural thermal drift feedback unbalance exists or not, dynamically adjusting servo redundancy and a buffer response strategy in combination with a preset life curve and an abnormal response backtracking channel, and outputting a synchronous regulation and control instruction set. The method has the advantage of improving the long-term operation reliability of the homogenizer.

The invention provides an RV reducer online fault diagnosis method, and belongs to the technical field of reducer fault diagnosis based on computer data processing. The method comprises the following steps: firstly, constructing a fault data set covering multi-modal signals and multiple working conditions, and integrating vibration, current and high-frequency elastic stress wave data; performing segmentation, time-frequency conversion and multi-modal feature fusion on the original time series data to generate a three-channel time-frequency feature map, and strengthening visual expression of fault features; then constructing a domain adversarial attention neural network, and realizing cross-working-condition fault feature migration and accurate classification through adversarial training of a feature extractor, a fault classifier and a domain classifier; and finally, deploying an online diagnosis model, generating a health indicator in combination with the health state baseline model, predicting the remaining service life through a long short-term memory network, and completing fault early warning and life evaluation. According to the method, accurate fault identification and residual service life prediction under complex working conditions are realized, and reliable technical support is provided for the RV speed reducer.

The invention provides a wear coefficient correction method for a shield cutter, and relates to the technical field of wear monitoring, and the method comprises the steps: collecting a time sequence magnetic field signal obtained by a magnetic sensor array disposed on a non-rotating part of a shield tunneling machine, and synchronously obtaining a cutter angle coding signal; performing time-frequency conversion and filtering on the magnetic field signal to obtain a noise reduction time sequence signal; determining a geometric position sequence of each shield cutter in combination with the angle coding signals; based on the magnetic sensor pose, the tool position and the magnetic dipole model, theoretical magnetic field mapping between the tool and the sensor is constructed, and a system response matrix is generated; reconstructing an independent magnetic feature vector of each cutter to obtain an optimal feature set; generating a vector difference through comparison with a reference vector, inputting the vector difference into an abrasion identification model, obtaining the abrasion loss and type identification of each cutter, and correcting an abrasion coefficient; the method improves the wear recognition precision and reliability, and is suitable for tunnel construction under complex geological conditions.

The application provides a transient frequency conversion control method of a converter and an electronic device. The method comprises the following steps: determining the working state of the converter, wherein the working state comprises a light load working state and a heavy load working state; if it is determined that the working state switches between the light load working state and the heavy load working state, starting a transient frequency conversion control strategy to adjust the switching frequency of the converter, wherein the transient frequency conversion control strategy is used to adjust the duration of the freewheeling stage in the switching cycle of the converter; after the working state of the converter switches, and the clamping capacitor voltage sampling value of the converter v c satisfies a preset condition, exiting the transient frequency conversion control strategy to restore the switching frequency of the converter to normal. The dynamic response speed of the converter is effectively improved, and the overshoot and drop of the output voltage when the converter is subjected to a step load are reduced.

The invention relates to the technical field of screw locking detection, and provides an air conditioner frequency conversion board screw locking detection method comprising the following steps: dividing an assembly area into a power module area, a control core area, an electrical interface area and a heat dissipation auxiliary area; according to the physical structure characteristics of the assembly areas, an independent torsion threshold range and expected torsion curve characteristics are configured for each area; on the basis of the physical structure characteristics of the screw holes in different assembly areas, matching corresponding screw types for the areas, and determining a screw tightening rotating speed range according to the matching relationship between the selected screw types and the physical structure characteristics of the screw holes; locking operation is executed within the screw tightening rotating speed range, torque data in the screw locking process are collected, whether the screw is assembled in place or not is judged according to the comparison result of the torque data and a preset torque standard, and the preset torque standard is set based on the selected screw type and the physical structure characteristic of the screw hole; and judging whether the screw and the screw hole are slipped or not.

The invention discloses a heat exchange station control method and device based on neural network decoupling and a medium, and relates to the field of neural networks, and the method comprises the steps: carrying out the feedforward decoupling through a trained time-delay recurrent neural network, and outputting a decoupling control instruction; performing prediction through the trained prediction model, and outputting a prediction parameter output value at a future moment; outputting a frequency conversion increment through a rolling optimizer according to the predicted parameter output value; determining an output difference value between the second actual parameter output value and the predicted parameter output value; and adjusting model parameters and / or variable frequency increment of the prediction model. Feedforward decoupling is carried out by using a time-delay recurrent neural network, and dynamic characteristics of the system are learned through a data driving mode without depending on an accurate mathematical model. Compared with the traditional feedforward decoupling and frequency conversion decoupling strategies, the coupling relationship between the quality regulation channel and the quantity regulation channel can be processed more thoroughly, and the problem that multi-variable dynamic response is difficult to coordinate by single pressure difference control is solved.