16 results about "Output transformer" patented technology

This invention discloses a millimeter-wave broadband high harmonic suppression tripler, comprising an input matching network, a time-domain shaping tripler unit, and a differential common-source output stage. The proposed time-domain shaping tripler unit employs transistor pairs with different gate widths and bias voltages to superimpose two sets of voltage signals of different amplitudes in the time domain, thereby enhancing the inherent harmonic suppression of the tripler unit. Furthermore, by connecting a common-mode impedance control in series at the center tap of the primary inductor coil of the output transformer of the tripler unit, the output power of the third harmonic is further improved. The input matching network achieves single-ended to differential conversion, with its primary and secondary coil center taps grounded and open-circuited respectively in a counterintuitive manner, improving differential-mode balance and common-mode stability. Simultaneously, by using a series-coupled inductor, the quality factor of the transistor input impedance is reduced, improving the bandwidth performance of the tripler.

This invention discloses a general testing device and method for the weak grid adaptability of power electronic grid-connected equipment, including a converter module, a main control module, an input transformer, and an output transformer. The converter module includes a rectifier circuit unit and its filter circuit, and an inverter circuit unit and its filter circuit. The main control module controls the converter module and includes a rectifier control unit, an inverter control unit, and a host computer that are communicatively connected to each other. The rectifier control unit is connected to the rectifier circuit unit, and the inverter control unit is connected to the inverter circuit unit. The rectifier control unit and the inverter control unit receive and execute input commands from the host computer to adjust the operating state of the converter module. The inverter control unit is based on the equivalent grid impedance transfer function of a generalized second-order integrator. Using this invention, a wide-frequency domain simulation of AC grid impedance can be achieved, greatly improving the test accuracy.

The application discloses a kind of based on multivariate information fusion and transformer winding fault monitoring method and system of deep learning, method includes: obtaining original vibration signal in the process of transformer operation, input to the transformer fault diagnosis model constructed in advance, output transformer winding fault type;The process for being constructed in advance by transformer fault diagnosis model is: obtaining original vibration signal in the process of transformer operation, constructs initial signal data set and is divided into multiple data samples;Composite feature vector of fusion time domain, frequency domain and time-frequency domain features is extracted from data sample;Convolutional neural network is constructed, and channel attention mechanism and spatial attention mechanism are introduced in convolutional neural network, and the deep learning model of fusion attention mechanism is constructed;Composite feature vector is used to train and evaluate deep learning model, and the final transformer winding fault diagnosis model is obtained.The application has the advantages of high fault diagnosis precision.

The application provides a radio frequency power amplifier, which comprises a signal input end, a driving amplifier realized by a CMOS process, a power amplifier realized by a GaAs HBT process, a power combining network and a signal output end which are electrically connected in sequence and integrated on the same substrate; the driving amplifier is electrically connected in sequence by a first-stage amplifier, an inter-stage balun network, a second-stage amplifier and a second-stage output transformer network; the input end of the first-stage amplifier is connected to the signal input end, and the output end of the inter-stage balun network is connected to the input end of the second-stage amplifier; the radio frequency power amplifier is used for converting a single-ended signal amplified by the first-stage amplifier into a differential signal and outputting a first differential signal and a second differential signal. The radio frequency power amplifier has small insertion loss, high output power, improved efficiency and linearity.

This utility model relates to the field of audio equipment technology, specifically to a digital ceiling speaker with noise detection. It includes a circular housing with a frame at the opening. A first-layer metal base plate is fixed inside the frame, and an excitation oscillator is mounted on its front. A second layer of metal isolation plates and a top-layer metal isolation plate are sequentially arranged on the back of the first-layer metal base plate. A power module and a digital power amplifier module are mounted on the back of the first-layer metal base plate. A decoder module, a wireless broadcasting module, and a noise detection module are mounted on the second-layer metal isolation plates. An audio constant-voltage output transformer is mounted on the top-layer metal isolation plate. This design integrates noise detection, digital signal processing, and constant-voltage output functions, making it particularly suitable for network digital broadcasting systems in public places such as subways and airports. Its core feature is the ability to achieve adaptive adjustment of environmental noise and expansion of network broadcasting signals through a layered modular design.

This invention discloses a method for transformer acoustic fingerprint fault detection and diagnosis based on multi-scale feature fusion using a visual Transformer. The method includes: acquiring and segmenting the transformer's operating acoustic signal to generate acoustic fingerprint segments; converting the acoustic fingerprint segments into different types of time-spectrum maps to form a multi-view spectrum set, and performing block mapping on each view spectrum to obtain a token sequence; injecting view identifier encoding and scale identifier encoding into the tokens to complete the input encoding; inputting the encoded sequence into a visual Transformer backbone network to extract multi-layer features and constructing a pyramid token representation; obtaining a fused acoustic fingerprint representation through semantic alignment between tokens of different scales and weighted fusion of multi-scale features; and outputting transformer fault detection results and / or fault diagnosis results. This invention can improve the reliability and generalization ability of fault identification and has good engineering application value.

This application relates to a distribution transformer overload prediction method based on phase-level prediction and physical constraints. The method involves preprocessing each load in the acquired distribution topology to obtain the corresponding load tensor; passing the input tensor of each load tensor through the distribution transformer phase-level load prediction model to output the baseline prediction for each corresponding phase; introducing a summary matrix determined by the distribution topology and performing hierarchical consistency prediction on each baseline prediction based on minimum trajectory error to obtain the corresponding coordinated load prediction; projecting all coordinated load predictions onto the physical domain to obtain the copper loss of each phase, and calculating the iron loss based on voltage; inputting the iron loss and the copper loss of each phase into the driving differentiable thermal circuit model; and using the output transformer top oil temperature and hot spot temperature, along with the baseline predictions for each phase, to optimize the distribution transformer phase-level load prediction model. Finally, after hierarchical consistency prediction, the method outputs the final load prediction for each phase, thereby determining the overload status of each phase and performing corresponding operation and maintenance.

Methods and systems for animated figure keyframing or physical robot keyframing and learning locomotion with high-level objectives are discussed herein. For example, generating motion for an animated figure may include generating a control policy for the animated figure using a reinforcement learning model, wherein the control policy is configured to control a movement of the animated figure to achieve one or more keyframes. Generating motion for the animated figure may further include encoding the control policy onto a processor of the animated figure. In some cases, the control policy for the animated figure may be generated using a multi-input single-output transformer encoder. Generating motion for the animated figure further includes determining one or more target keyframes and generating, using the control policy, the motion for the animated figure based on the one or more target keyframes.

This invention discloses a comprehensive performance testing system and method for multi-voltage frequency converters with low grid capacity, used for performance testing of frequency converters and integrated frequency converters. The system includes a power supply input unit, a multi-voltage generation unit, a load testing unit, and a measurement and control unit. The multi-voltage generation unit initially adjusts the grid voltage using a three-phase oil-immersed voltage regulator, then connects to two output transformers for secondary voltage adjustment, thereby generating at least six voltage levels. The load testing unit contains five test benches, driven by a drive motor that runs a load motor controlled by a companion frequency converter to simulate load torque. This invention significantly reduces the demand on grid capacity by providing power to the test specimen and the companion specimen at the same potential, allowing energy to circulate and be fed back within the transformer. Simultaneously, through optimized switch matrix design, it achieves flexible reuse of multiple voltage levels and multiple test benches, effectively overcoming the problems existing in the prior art.

This invention discloses a method and system for real-time analysis of transformer operating status oriented towards edge computing, specifically relating to the field of power equipment condition monitoring and edge computing data processing technology. The method includes acquiring load values, oil temperature values, winding temperature values, cooling status values, and status monitoring values ​​collected from the transformer site. It generates three types of change symbols (increase, decrease, and remain unchanged) for each type of value according to the sampling order, and binds each change symbol to its corresponding sampling sequence number, outputting ordered transformer operating data. By converting the load values, oil temperature values, winding temperature values, cooling status values, and status monitoring values ​​collected from the transformer site into change symbols with sampling sequence numbers, it identifies load change segments or cooling change points and extracts the current temperature rise response segment. Then, it compares the current temperature rise response segment with existing temperature rise response segments in response order, and generates transformer operating status analysis results based on the order differences formed by oil temperature reversal, winding temperature changes, and status monitoring value changes.

A series battery pack active balancing circuit, comprising n-way output double-tube flyback converter, n-1 cross-over capacitor, n lithium ion battery; n-way output double-tube flyback converter comprises: a power switch S1, power switch S2, excitation inductance L m , n-way output transformer T, clamping diode D 1p , clamping diode D 2p ; first output diode D1, second output diode D2,..., n-way output diode D n ; first output capacitor C 1, second output capacitor C 2,..., n-way output capacitor C n Compared with the traditional multi-winding transformer balancing structure, the present application realizes the automatic voltage balancing between battery units through the cross-over capacitor, without the need for complex sampling and control algorithm, and avoids the end voltage imbalance problem caused by the cross regulation ratio of the transformer in the multi-winding output, effectively reduces the voltage deviation, and improves the battery balancing accuracy.

This invention discloses a method for assessing the aging of transformer insulation paper based on furfural and the beluga algorithm, comprising the following steps: (1) non-uniform accelerated thermal aging experiment; (2) multi-dimensional feature data acquisition; (3) constructing an IBWO-MLP prediction model to predict the degree of polymerization of insulation paper in hot spot areas; (4) establishing a field-based DP estimation model to predict the degree of polymerization of insulation paper in hot spot areas; (5) aging status assessment and lifetime prediction: outputting the remaining lifetime prediction results of insulation paper at transformer hot spots. This invention's method can accurately assess the aging degree of insulation paper in transformer hot spot areas under uninterrupted power supply conditions, with high accuracy and strong applicability, which helps in the early diagnosis of insulation faults.

This application provides a power extraction measurement circuit, method, and device for transmission lines. The circuit includes an inductive power extraction coil, a measurement circuit, a control module, a first energy storage module, a switch module, a transformer module, and a locking circuit. The inductive power extraction coil is connected to the primary side of the measurement circuit, and the secondary side of the measurement circuit is connected to the control module. If the control module receives a target measurement command and the voltage of the first energy storage module is less than a preset voltage threshold, the control module locks the output of the switch module through the locking circuit. The first energy storage module stores energy, and the transformer module stops electromagnetic energy transfer until the voltage of the first energy storage module reaches the preset voltage threshold. Then, the target measurement command is executed. After the target test command is completed, if the voltage of the first energy storage module reaches the preset voltage threshold, the output of the switch module is opened through the locking circuit, and the transformer module resumes electromagnetic energy transfer. This improves measurement accuracy and reduces the weight and size of the equipment.

The application discloses a transformer protection fault feature and adaptability analysis method under a new energy output scene. Multi-source fault signals of a transformer under a large-scale new energy sending-out scene are acquired, a graph model with the multi-source fault signals as nodes is constructed, and spectral filtering is performed to obtain a graph signal feature matrix; mask operation is performed based on the similarity between fault samples in the graph signal feature matrix; the graph signal feature matrix and the mask feature are constructed into unified representation for mapping of a fault degree; the mean value of the fault degrees of all samples is used to obtain a protection action threshold value; a protection action request value is calculated, the threshold value and the request value are compared, and a transformer protection decision is output; a confidence index is defined by loss function quantization value, which is used for analyzing the adaptability of a protection mechanism based on the protection action threshold value, and the threshold value is optimized according to the adaptability analysis result. The application provides multi-dimensional and mutual verification technical support for significant evaluation of fault features and protection adaptability analysis.