17 results about "Flow pulse" patented technology

The invention relates to the technical field of discharge monitoring, and provides a high-precision monitoring method and system for partial discharge current pulse signals. The method comprises the following steps: activating distributed broadband monitoring equipment to continuously monitor a transformer to obtain distributed monitoring information; extracting first monitoring information, and performing feature collection on the first pulse signal to obtain a pulse feature set; establishing a multi-conductor transmission line model based on the multi-dimensional characteristic parameters of the transformer, and performing simulation to obtain simulation information; and calling a partial discharge positioning strategy to analyze the pulse feature set and the simulation information, and determining the partial discharge source of the transformer. According to the invention, the technical problems that the partial discharge pulse signal in the transformer cannot be accurately extracted and analyzed and the accurate positioning of the partial discharge source is influenced because the detection blind area is easily influenced by electromagnetic interference and the weak signal identification is insufficient in the existing partial discharge monitoring method are solved; the technical effect of high-precision partial discharge source positioning is achieved.

The invention relates to the technical field of flow signal processing and leakage early warning, in particular to an oil engine intelligent monitoring system and method based on multi-source data analysis. A data acquisition unit acquires an oil return pipe flow pulse signal, an engine body vibration signal and an oil pump load rate parameter in real time; the vibration direction analysis unit distinguishes vertical and horizontal vibration dominant modes according to the load rate and outputs directional data and compensation and early warning signals, and the eddy current pseudo peak value detection unit is matched with a pulse template by means of wavelet decomposition, identifies the amplitude, frequency and dislocation characteristics of a pseudo peak value at a pipe diameter sudden change position, and outputs the directional data and the compensation and early warning signals. The dynamic baseline correction unit constructs a vibration and eddy current coupling factor model, compensates a pseudo peak lifting effect at a low load and corrects time sequence offset at a high load, the leakage judgment unit calculates corrected flow deviation degree and weighted residual energy distribution characteristics, leakage alarm is triggered when an alarm threshold value is exceeded, misjudgment caused by interference is eliminated, and the oil engine leakage monitoring accuracy is improved.

The present disclosure relates to ultrasound-based strategies and techniques that are specially designed for time-resolved simultaneous cardiac tissue visualization and intracardiac flow instability mapping. First, to achieve high-resolution tissues images while also acquiring flow data, we devised an acquisition scheme which consists of two batches. The first batch is dedicated to tissue imaging, where we transmit a series of diverging waves emitted from different virtual source locations. These pulses have a single pulse-cycle to optimize axial resolution and are coherently compounded for improving lateral resolution. This paradigm generates tissue images with an improved resolution, allowing for real-time guidance at frame rates up to 50 fps. The second batch is dedicated for flow imaging where all diverging waves are transmitted from the same virtual source location. These flow pulses have a 5-cycle pulse length for improved flow signal. The length of this batch can be adjusted, but our experiments use a length of 64. The final transmission scheme alternates between the tissue batch and flow batch.

Described embodiments include a system and method for pulsed RF ablation that includes generating a plurality of pulses of radiofrequency (RF) current for application to tissue of a subject for cardiac ablation, driving the RF each one of the pulses such that the power of the pulse initially rises from zero to a maximum value, each one of the pulses having a duration from a start point in time to an end point in time, and an intermission between the end point and the start point of successive pulses, receiving at least one signal from a temperature sensor configured to measure a temperature of the tissue being ablated and controlling the power of the plurality of pulses to fractionally change the power of each of the pulses between the start point and end point in response to the measured temperature of the tissue being ablated.

This invention belongs to the field of video coding and image processing technology, specifically relating to a multi-level dual-stream pulse wavelet fusion panoramic video quality enhancement method, comprising the following steps: 1. Acquiring the original high-quality panoramic video image, performing video coding standard compression processing to generate a compressed low-quality panoramic video image; 2. Performing shallow feature extraction and mapping it to a high-dimensional feature space to obtain shallow features; 3. Performing feature splitting, inputting it into the parallel global and local stream branches of the pulse-driven biomimetic quality enhancement model SWFN for feature extraction; 4. Performing channel stitching, using fusion convolution for feature interaction and compensation, and outputting the fused features; 5. Performing residual connection and reconstruction, outputting a quality-enhanced panoramic video frame. This method can more accurately eliminate the block artifacts and quantization distortion caused by VVC coding compression, improving the reconstruction quality of ultra-high-definition panoramic video.

The embodiments disclosed herein relate to a flow pulse system including a rotor, a stator, an ejector configured for releasable coupling to the rotor, and a nozzle releasablely coupled to the rotor, the nozzle being configured to control fluid flow through the rotor. In some embodiments, the system uses a screen disposed therein, the screen including an inner aperture in fluid communication with a plurality of lobe-shaped cavities along the rotor. In some embodiments, the system uses a fixed valve and an oscillating valve having a plurality of oscillating valve ports in fluid communication with the plurality of lobe-shaped cavities.

Provided are a FLASH radiotherapy dose control method and apparatus, and an electronic device. The method comprises: calculating the number of delivered pulses of at least two beam pulses having different pulse widths, the total beam delivery time, and the beam repetition frequency of the beam pulses, issuing the beam repetition frequency to a beam generation system, and issuing a set beam termination dose threshold, a pulse conversion dose threshold obtained by means of calculation, and a beam termination time threshold to a beam sampling controller; determining whether a real beam delivery dose is greater than or equal to the pulse conversion dose threshold; determining, on the basis of the determination result, whether to output a level control signal for adjusting the pulse width to the beam generation system; then determining whether the real beam delivery dose is greater than or equal to a beam termination dose threshold, and at the same time, determining whether a real beam delivery time is greater than or equal to the beam termination time threshold; and determing, on the basis of the determination result, whether to output a level control signal for beam termination to the beam generation system. The accuracy of FLASH beam dose control is improved.

The application discloses a corona current pulse waveform analysis method, computer equipment and a medium, and relates to the technical field of deep learning. The method comprises the following steps: acquiring a plurality of original waveforms of corona current; for each original waveform, a sub-waveform is obtained by intercepting; for each sub-waveform, the sub-waveform is input into a trained neural network model to obtain a polarity recognition result of the sub-waveform; the polarity recognition result is a Trichel pulse waveform or a non-Trichel pulse waveform; for the original waveform with the polarity recognition result being the Trichel pulse waveform, a waveform analysis parameter of the original waveform is extracted. The trained neural network model can quickly and accurately identify the sub-waveform with the polarity recognition result being the Trichel pulse waveform, so that the waveform analysis parameter of the original waveform where the sub-waveform is located can be quickly extracted, and support is provided for further analysis of the influence of different working conditions on the corona current pulse waveform.

The invention relates to the field of decoking, in particular to a thermal power plant external peeping type flame detection sleeve air flow pulse decoking device which comprises a spray head piece, a plurality of power assisting holes, a plurality of air flow pulse decoking devices and a plurality of air flow pulse decoking devices. The sensing assembly is located in the spray head part; the adjusting assembly is movably arranged on the outer side of the spray head part; when the sensing assembly moves in the first direction, the adjusting assembly is driven to movably change the medium flow of the assistance hole. The coke cleaning device has the beneficial effects that through linkage of the sensing assembly and the adjusting assembly in the coke cleaning device, the resistance change in the coke cleaning process is automatically sensed, and the forward thrust is correspondingly adjusted. When encountering stubborn coke blocks, the device can automatically pressurize and break obstacles, and can automatically depressurize and stably move when passing through a smooth area, so that the self-adaptive control of the coke cleaning process is realized; by instantly maximizing the flow of the power-assisted hole and generating strong pulse-type thrust, coke blocks can be effectively crushed, cleaning of difficult areas can be completed without manual intervention, and the success rate of coke cleaning is remarkably improved.

The invention belongs to the field of automation instruments, particularly relates to an intelligent flow transmitter based on POWERBUS communication, and aims to solve the problems that a communication mode of an existing flow pulse signal transmitter has no optoelectronic isolation design, is poor in anti-electromagnetic interference capability, is influenced by factors such as pump starting and stopping and power failure, generates long-term accumulated errors, is large in data reading deviation, and is poor in communication performance. The problems of short communication distance, weak driving capability, no back-up power supply, data loss after power failure, easy burnout of components due to wiring errors due to power supply in a polarity connection mode, and no automatic identification of positive and negative rotation are solved. The microprocessor is arranged in a shell, and the signal processing unit, the POWERBUS communication unit and the power management circuit are connected with the microprocessor. According to the invention, the communication anti-interference capability and stability are high; reading is convenient; wiring errors are avoided, the reliability is enhanced, and the construction design is simplified and easy; the backup power supply can avoid the phenomenon of system operation cumulant data loss during transient power failure.

This invention relates to the field of bathroom fixture testing technology, specifically an intelligent testing method for flush valves based on multi-source sensor data. The method includes: collecting dynamic waveforms of water pressure, flow pulse sequences, valve body vibration spectra, and sealing surface image frames of the flush valve during a test period to form a multi-source sensor data stream; performing spatiotemporal alignment and fusion processing on the multi-source sensor data stream to construct a comprehensive state field for the flush valve; and using an improved hidden Markov model constrained by the mechanical action stage characteristics of the flush valve to constrain state transition probabilities, decoding the internal working state sequence of the flush valve, and accurately locating performance anomaly events and their spatiotemporal coordinates. A set of hypotheses for anomaly causes is constructed through reverse tracing, and the root cause of the fault is determined through verification testing. This method achieves integrated analysis of multi-dimensional operating data of the flush valve, accurately identifies operational anomalies, standardizes the fault tracing process, and improves the precision of intelligent testing and fault identification of flush valves.

The embodiment of the present application discloses a current pulse modulation identification circuit. The current pulse modulation identification circuit comprises a protection module, a conversion module, a diagnosis module and a processing module; the protection module is used for receiving a current pulse signal and protecting the conversion module, the diagnosis module and the processing module; the protection module is connected with the conversion module, and the conversion module is used for converting the current pulse signal into a first voltage signal and a second voltage signal; the diagnosis module is connected with the conversion module, and the diagnosis module is used for rectifying the first voltage signal to generate a third voltage signal; the conversion module and the diagnosis module are both connected with the processing module, and the processing module is used for identifying the current pulse signal according to the second voltage signal and judging the running state of the current pulse modulation identification circuit according to the third voltage signal. The current pulse modulation identification circuit provided by the embodiment of the present application can quickly process and identify the current pulse signal.

A plasma processing method includes applying AC waveforms to a bottom electrode in a plasma chamber to generate a plasma. The method further includes applying a first pulse train including a first plurality of DC pulses to a top electrode in the plasma chamber, where each DC pulse of the first plurality of DC pulses includes a first on-state and a first off-state. And the method further includes applying a second pulse train including a second plurality of DC pulses to the bottom electrode in the plasma chamber, and where each DC pulse of the second plurality of DC pulses includes a second on-state and a second off-state, the first pulse train being offset in phase relative to the second pulse train so that each first off-state overlaps with each second on-state.

The invention belongs to the technical field of Hall propellers, and particularly relates to a method and system for simulating current pulse of a Hall propeller by using an electronic load, and the method comprises the following steps: S1, obtaining anode current pulse data of the Hall propeller, and extracting pulse parameters; s2, current pulse waveforms are edited in the electronic load based on the pulse parameters; s3, current pulse simulation is carried out through an electronic load, and an output pulse waveform is synchronously obtained through an oscilloscope; s4, comparing the anode current pulse data in the step S1 with the pulse waveform in the step S3; when the error is higher than the threshold value, returning to the step S2 and correcting the current pulse waveform; when the error is not higher than the threshold value, entering the step S5; and S5, the oscilloscope outputs analog data of the electronic load. Compared with the prior art, the method solves the problem that full numerical simulation depends on a model simplification hypothesis, and a nonlinear dynamic process in a real test is difficult to reproduce. According to the scheme, a low-cost and high-reliability test means is realized.

An equipment fault information intelligent interaction system based on a power distribution network belongs to the field of state monitoring. The method comprises the following steps of: detecting periodically acquired pulses, judging access pulses and choked current pulses according to a current direction, and calculating corresponding internal resistance measured values under circuit operation; respectively carrying out self-learning on pulse changes obtained under the circuit operation in the detection process so as to respectively obtain the measured initial internal resistance and the self-learning times under the circuit operation; when the self-learning times respectively reach a threshold value under the operation of the circuit, correcting the internal resistance value under the operation of the circuit; and taking the correction frequency under the circuit operation as a correction weight under the circuit operation, and giving evaluation. Based on a diagnosis mechanism of open circuit and short circuit of a current sensor, pulse signals of current of an access and a choked current are calculated at the same time by adopting a method of weight correction next time in circuit operation, and whether the circuit of the current distribution box has a fault or not is judged through the change of an input current pulse signal and the change of an output current pulse signal.

The invention belongs to the technical field of electrics, and discloses an airborne pulse signal acquisition circuit, which comprises a signal conditioning circuit for scaling down a pulse signal PulseIN through a differential scaling operation circuit and converting a differential pulse signal into a single-ended pulse signal Vout which is common-grounded with an analog ground; the comparison circuit compares the signal Vout with a threshold voltage Vref and outputs TTL level signals IOTimer with the same amplitude and different frequencies to the FPGA circuit; and the FPGA circuit rejects channels with abnormal acquisition to complete TTL level signal IOTimer edge counting, so that a direct-current pulse signal accurate counting function is achieved. The circuit is simple in structure, circuit parameters are convenient to calculate, the differential signal acquisition function is achieved, circuit input impedance is high, voltage drop is small, accurate acquisition of pulse signals in different measuring ranges can be achieved by changing resistance devices, and expansion is easy.

A fault managed power system (FMPS) and method therefor can limit the cumulative effects of repeated current pulses on the human body during a fault without changing the amplitudes of the current pulses. Upon detection of a fault, the fault managed power system progressively reduces the durations of the current pulses (i.e., ON intervals) instead of the amplitudes to limit the cumulative effects of the current pulses. The fault managed power system can perform the progressive pulse width reductions in increments or steps that limit the cumulative effects of the current pulses to below a predefined energy level. In some embodiments, the predefined level is a level that could prevent let-go or cause ventricular fibrillation in a human body. Such a fault managed power system advantageously provides a simple and efficient way to limit the energy delivered into a fault without having to change the amplitudes of the current pulses.