9 results about "Phase resolution" patented technology

The invention discloses a cable partial discharge mode identification method and device based on multi-mode fusion, electronic equipment and a storage medium, and belongs to the technical field of cable partial discharge online monitoring. And converting the original signal into a multi-modal spectrum through phase resolution analysis, wavelet packet energy analysis, skewness and kurtosis statistics and recurrence plot analysis. The group of maps are input into a multi-modal fusion recognition model, the model analyzes the spatial distribution characteristics and the time sequence characteristics of the maps at the same time through parallel vision and time sequence coding modules, and two analysis results are subjected to weighted fusion, so that final classification recognition of the discharge mode is realized. Through the implementation of the method and the device, the problems that key information is lost due to dependence on single-dimensional feature representation and the identification accuracy is limited due to the fact that an existing identification model cannot analyze the spatial distribution characteristic and the time sequence evolution characteristic of the signal at the same time in the prior art can be solved.

This invention provides a phase correction circuit, an energy metering device, and a corresponding method thereof. The phase correction circuit provided in this embodiment includes: a first delay module for receiving at least two input signals with asynchronous phases, and obtaining a first delayed signal by performing a first delay of M sampling intervals on the phase-leading signal based on a first phase difference between a phase-leading signal and a phase-lag signal among the at least two input signals; and a second delay module for performing a second delay of less than one sampling interval on the first delayed signal based on a second phase difference between the first delayed signal and the phase-lag signal; wherein M is a positive integer greater than or equal to 1, and the second delayed signal is phase-synchronized with the phase-lag signal. Using this invention not only enables more accurate and faster phase correction, but also simplifies the circuit design, ensuring high phase resolution without occupying a large circuit area.

The application discloses a power cable partial discharge enhanced spectrum construction and small sample recognition method, and belongs to the technical field of power cable diagnosis and detection. The method first acquires a partial discharge phase resolution spectrum, and divides the spectrum into laboratory and field sample sets according to discharge types and collection scenes. After standardization processing of the spectrum, phase and amplitude distribution characteristics are extracted to construct a multi-channel enhanced spectrum. Small sample amplification is completed under the constraint of physical distribution rules, and then stable structure characteristics of the two types of samples are aligned. Finally, the processed samples are input into a recognition model, and discharge recognition results are output. The application can improve spectrum distinguishability, alleviate small sample overfitting problems, reduce cross-scene sample distribution deviation, enhance model generalization capability, and is suitable for multi-type power cable partial discharge defect recognition.

The invention discloses a code sequence generation method based on non-integer multiple sampling and hardware implementation, which overcome the problem that the rising edge of the traditional 1-bit pseudo-random code sequence is too large in jitter by combining template convolution multiplexing, table look-up splicing and non-integer multiple sampling rate conversion technologies, remarkably improve the phase resolution of the code sequence generation, and improve the generation efficiency of the code sequence. The method is suitable for the fields of high-precision ranging systems, time synchronization systems, radar signal modulation and the like.

The application relates to a transformer fault identification method, and belongs to the technical field of power system equipment fault diagnosis. The method comprises the following steps: an acoustic feature library containing multiple transformer fault types is established; an acoustic signal of a transformer is collected to generate a real-time phase resolution spectrum of the acoustic signal; the real-time phase resolution spectrum is compared with the acoustic feature library through an SVM model; and a diagnosis result is output based on the comparison result and a fault response action is performed. The transformer fault identification method provided by the application compares the real-time phase resolution spectrum of the acoustic signal with the acoustic feature library, and realizes rapid and accurate identification of transformer faults.

The application discloses a cost-controlled phased resolution generation and cache reuse system and method applied to the field of computer technology, which firstly performs rapid preliminary screening at a low resolution level, and removes candidate configurations which are obviously unreasonable in physical structure or whose energy significantly deviates from a threshold; then gradually improves the resolution of the configurations, introduces a physical constraint and an energy calculation model, and gradually approaches a high-fidelity simulation result; meanwhile, a structure feature cache mechanism is arranged at each resolution level, intermediate states and energy gradient information of the calculated configurations are standardized stored and indexed, and are called at a higher resolution level for subsequent same or similar configurations, so that repeated calculation is avoided; finally, through a resolution transition determination module, whether to enter a next resolution level or terminate calculation is dynamically decided according to an energy convergence trend of the current configuration, a structure stability index and a calculation resource budget, so that an optimal balance between physical rationality and calculation efficiency is realized in a global range.

The invention discloses a partial discharge fault assessment method and device, an electronic device and a storage medium, multi-dimensional sensing signals are synchronously collected, time alignment and amplitude normalization processing are carried out, a phase resolution partial discharge spectrogram containing deep structure information is generated, two-dimensional features of discharge density distribution and contour form are extracted from the phase resolution partial discharge spectrogram, and a partial discharge fault assessment result is obtained. The method does not only depend on few statistical characteristics; and then the fault type and confidence are judged by fusing features and an intelligent recognition model in combination with a soft scoring mechanism, and the fault level is judged by calculating a comprehensive fault index in combination with a parameter deviation degree, so that the limitation of artificial experience interpretation is eliminated, deep information in a spectrogram is fully mined, and the fault diagnosis accuracy is improved. The technical effects of enhancing feature expression capability, improving complex fault mode identification accuracy, realizing accurate judgment of fault types and grades, and improving reliability of electrical switch cabinet insulation state evaluation are achieved.

The application discloses an IRS configuration optimization and AoI scheduling optimization method in a UAV-IRS assisted IoT network, which is applied to a UAV with an IRS, and the UAV corresponds to multiple IoT devices, and the method comprises the following steps: acquiring current position information of the UAV; determining an optimal moving direction according to the current position information and a pre-trained Q table; moving to a next position information along the optimal moving direction; determining a reflection phase shift matrix of the IRS by a combinatorial optimization method according to the number of surface elements of the IRS, a preset phase resolution and a signal amplitude of the IRS at the next position information; determining a signal-to-noise ratio of each corresponding IoT device based on the reflection phase shift matrix at the next position information; when the signal-to-noise ratio of each corresponding IoT device is greater than or equal to a preset threshold, acquiring an AoI of each corresponding IoT device in a current time slot, inputting the AoI into a pre-trained DQN model, and outputting an IoT device to be relayed in the current time slot; and sending information sent by the IoT device to be relayed to a base station.

The invention discloses a partial discharge mode identification method based on ultrahigh frequency signal phase independent characteristics. The method comprises the following steps: generating a phase resolution partial discharge map; obtaining a pre-processing phase resolution partial discharge map with a uniform size; forming a phase-independent composite feature vector; obtaining a low-redundancy phase-independent discrimination feature vector; establishing a corresponding discriminant energy potential function set after the discriminant diffusion matrix is stabilized, and forming a discriminant energy potential function model; and determining a partial discharge mode to which the partial discharge sample to be detected belongs according to a minimum discriminant energy criterion, and outputting a partial discharge mode identification result. According to the method, the interference of noise features and weak discrimination features on the model can be remarkably reduced through adaptive dimensionality reduction, and the stability and robustness of the discrimination model under small sample and short-time monitoring conditions are improved.