7 results about "Constant waveform" patented technology

The application discloses a kind of continuous wave windings of axial motor, it is related to motor technical field, including annular stator core, stator core is equipped with several gaps along the axial direction;Several integrally formed windings, several windings are sequentially stacked along the axial direction, S-shaped curve is equipped on winding and gap is matched, adjacent winding is misaligned at gap, and several windings form the circulation of ladder shape;Structure gasket, structure gasket is located between adjacent winding;The radial straight-through cooling flow channel of the S-shaped winding integrally pressure casting formed with the axial ladder-shaped stacking structure, the electrical performance and heat management capability of the system optimization of axial flux motor winding forming process are realized by cooperation structure gasket construction;Pressure casting molding eliminates the bending work hardening and insulation layer damage risk of traditional flat wire winding, maintains the original crystal structure and electrical conductivity of copper material, while avoiding the uneven welding point resistance, high failure rate and low production efficiency and other problems caused by multi-section welding.

This application relates to a fault diagnosis method, system, device, and medium for vehicle communication networks. It involves acquiring continuous waveform data from the physical layer of the vehicle communication network, preprocessing the waveform data to obtain at least one protocol data unit (ARD) signal block of a preset length. Each ARDR signal block includes multiple logical bits, and each logical bit corresponds to K consecutive sampling points in the continuous waveform. K is determined by the protocol rate and physical layer sampling rate of the vehicle communication network. The ARDR signal block is then input into a trained neural network model. The neural network model includes a feature extraction layer, which uses a convolution kernel of size K and stride K to perform convolution operations on the input signal block. Based on the output of the neural network model, the fault diagnosis result of the vehicle communication network physical layer is determined. This significantly improves the identification accuracy and generalization ability of various faults caused by abnormalities in different bit positions.

This invention discloses a biomimetic blade, impeller, and fan with a wave-like surface structure. The blade features a continuous wave structure along its chord length. The wave structure includes a first wave structure, a gentler wave structure, and a second wave structure arranged sequentially along the chord length. This invention targets a closed axial flow impeller, employing a wave-like biomimetic design on the blade surface. The wave pattern is primarily concentrated from 50% of the blade height to the blade tip, aiming to reduce noise from the blade tip to 50% of the blade height. During operation, the area with the highest sound pressure level is concentrated above 50% of the blade height to the blade tip, with the highest sound pressure level near the blade tip. The wave-like design at this location effectively improves the area of ​​airflow energy dissipation and accumulation, thereby reducing noise.

The invention relates to a hollow conductor (200) forming a continuous wave winding (210) of a stator (120). The stator (120) and a rotor (110) form an electric machine (100). The wave winding (210) is formed by distributing the conductor (200) between axial ends (301, 302) of the winding (210) by winding around the stator periphery with a certain winding pattern. A first axial end (301) is flooded with a cooling fluid in a first cooling cavity (510) and a second axial end (302) is flooded with a cooling fluid in a second cooling cavity (520). The first axial end (301) comprises a first set of holes (310) and the second axial end (302) comprises a second set of holes (320), thereby allowing the cooling fluid to flow from the first cooling cavity (510) via the first set of holes (310) through respective sections of the hollow conductor (210) to the second cooling cavity (520).

This utility model discloses a wave-shaped drill bit, including a shank and a drill bit insert mounted on the shank. The drill bit insert includes two cutting edges and two chip grooves. The cutting edges and chip grooves are symmetrical about the rotation axis of the shank. The cutting edges have a continuous wave pattern, and the chip grooves have a wave pattern along the radial section of the tool. The end of the chip grooves is connected to the cutting edges. The wave-shaped chip grooves of this utility model significantly reduce the actual contact area between the chips and the tool, thereby reducing friction and improving the chip removal capacity of the drill bit. At the same time, the cutting edge of this utility model is longer than that of conventional drill bit cutting edges. The amount of material removed in the same volume is distributed over a longer edge length, which reduces the cutting load per unit edge length and avoids local overheating or stress concentration, which could lead to edge chipping or rapid wear.

The application discloses a tailing dam seepage line analysis method and system, and belongs to the technical field of geotechnical engineering monitoring and geophysical exploration. The method first acquires three-component continuous waveform data of a tailing dam observation point, uses a sliding time window to segment and calculate the cross-spectral density between each component, and constructs a horizontal-vertical spectral ratio (HVSR) curve after removing the autocorrelation term; then, using a historical average HVSR curve as a reference template, the single-window HVSR curve is filtered and superimposed and averaged through a global, local or combined amplitude threshold cross-correlation coefficient judgment strategy, and a single-day HVSR curve with high stability is obtained. The application effectively eliminates the redundant amplitude information introduced by environmental noise interference and autocorrelation terms, significantly improves the stability of the HVSR curve and the accuracy of the peak frequency identification, and thus more accurately inverts the position of the wave impedance interface inside the tailing dam, and realizes dynamic monitoring and safety evaluation of the seepage line.

The present application relates to the field of geophysical exploration, in particular to a kind of transverse continuous seismic wave impedance inversion method based on knowledge transfer.The method comprises: obtaining poststack reflection seismic data, for its first seismic data, using wave impedance inversion method based on multiple groups of variant differential evolution algorithm;For each subsequent seismic data, the inversion optimal wave impedance model of its previous adjacent channel is migrated to the evolution of the current seismic channel as useful knowledge vector, and the migration of the optimal solution is constrained by the mapping matrix of structure, forming migration knowledge vector;Wave impedance inversion of the current seismic channel is carried out using multiple groups of variant differential evolution algorithm based on knowledge transfer, and a transversely continuous wave impedance model is obtained.The method of the present application can not only obtain more accurate inversion wave impedance model, but also effectively ensure the transverse continuity of the result;At the same time, the convergence speed and convergence accuracy of the algorithm are greatly improved, and the present application is more suitable for the description of lithologic hydrocarbon reservoir wave impedance parameters.