66results about How to "Avoid high frequency noise" patented technology

A parallel resonance frequency can be adjusted in order to stably and securely block different high frequency noises flowing into a line such as a power feed line or a signal line from electric members including a high frequency electrode within a processing chamber. A filter 102(1) coaxially accommodates a coil 104(1) within a cylindrical outer conductor 110, and a ring member 122 is coaxially installed between the coil 104(1) and the outer conductor 110. The ring-shaped member 122 may be a plate body of a circular ring shape on a plane orthogonal to an axial direction of the outer conductor 110 and made of a conductor such as cupper or aluminum and electrically connected with the outer conductor 110 while electrically insulated from the coil 104(1).

A fuel delivery rail assembly for supplying fuel to a plurality of fuel injectors in an engine is provided. The assembly includes an elongate conduit having a longitudinal fuel passage therein, a fuel inlet pipe, and a plurality of sockets. One wall of the conduit opposite to the socket mounting wall includes a flat or arcuate flexible absorbing surface. A high-frequency noise suppressing device such as a binding member is fixed within the conduit for connecting the one wall and the socket mounting wall. The binding member includes is comprised of a pipe, a bar or a rigid block. The binding member may be a body portion of an extending socket terminating with the one wall. Thus, fuel pressure pulsations and shock waves are reduced by bending of the absorbing surface, and emission of high-frequency noise is eliminated.

A fuel delivery rail assembly for supplying fuel to a plurality of fuel injectors in an engine includes an elongated conduit having a longitudinal fuel passage therein, a fuel inlet pipe, and a plurality of sockets. One wall of the conduit opposite to the socket mounting wall includes a flat or arcuate flexible absorbing surface. A high-frequency noise suppressing component such as a rib, a cavity or a clamp is applied to the one wall opposite to the absorbing surface. Thus, fuel pressure pulsations and shock waves are reduced by bending the absorbing surface, and emission of high-frequency noise is eliminated.

The invention discloses a coupling type intelligent bearing monitoring device arranged on a bearing. The coupling type intelligent bearing monitoring device is characterized by comprising a shell and a rotating speed coded disk, wherein the rotating speed coded disk is a round coded disk coaxial with the shell; an intelligent monitor is axially inserted into a gap between a rotating ring and a fixed ring of the bearing and forms an interference fit with the bearing; and two strain gage type acceleration sensing devices, a rotating speed sensing device and a temperature sensing device are embedded in the shell and all connected with a circuit board on the end face of the shell through a signal output line. The invention has the obvious advantages that the low-frequency-band characteristics of the bearing can be effectively extracted; the reliability and the effectiveness of signals are improved; all the sensing devices are used as a part of the intelligent bearing and easy to mount and demount, and the damage to the bearing structure and the bearing stress are reduced; and sampling is triggered by the rotating speed, thereby realizing the synchronous trigger acquisition of multiple parameters of the bearing.

The invention discloses a globally optimized time-varying sparse deconvolution method and apparatus. The method comprises the following steps: a frequency domain time-varying part spectrum deconvolution model of unstable state seismic data is constructed; a reflection coefficient pulse number is determined through utilization of the limited update rate principle and an unstable state seismic data effective bandwidth; through a very fast simulated annealing algorithm and the frequency domain time-varying part spectrum deconvolution model, the time position of reflection coefficient pulses of the frequency domain time-varying part spectrum deconvolution model is searched; with regard to the searched time positions, iteration is carried out through utilization of a least square method, and reflection coefficient pulse amplitudes of the time positions are determined; for each iteration, available time position and amplitudes are determined according to system energy; through utilization of a square error of part spectrum observation data and part spectrum synthesized data, whether convergence of the iteration exists is determined; if the convergence exists, iteration stops; and according to the reflection coefficient pulse number and the available time positions and amplitudes, a nonzero reflection coefficient sequence is reconstructured. Through utilization of time varying wavelets, the method is more realistic. The non-linear method and the linearity method are combined, and the calculating precision is raised.

A motor vibration damping device includes several dampers and a connecting part. Each damper is disposed in a fixing hole of a mechanic fixing piece for reducing motor vibration energy transmitted to the mechanic fixing piece and the connecting part connects the dampers.

A thermocouple (6) is provided for detecting a temperature of the tip of a needle electrode (1). The thermocouple (6) includes a tip connecting portion (18) where the tips of a pair of coated wires (8, 9) are electrically connected to each other and a tip coated portion where the tip connecting portion (18) is coated with polyolefin synthetic resin. The tip coated portion is bonded and fixed to the needle electrode (1). They provide a needle electrode device for medical application capable of being compact with the needle electrode provided with the thermocouple and of detecting a temperature using the thermocouple with high accuracy.

The present invention discloses a self-bias PLL including a phase frequency detector, a charge pump, a loop filter, a voltage control oscillator, a divider and a bias current converter. A charging or discharging current output from the charge pump equals to a first control current. A resistor of the loop filter is controlled by a first control voltage a second control voltage which is adjusted according to the first control voltage and a second control current. The loop filter increases or decreases the first control voltage according to the charging or discharging current output from the charge pump. The voltage control oscillator generates a bias current and an oscillation voltage according to the first control voltage and increases or decreases an oscillation frequency according to the increase or decrease of the oscillation voltage. The circuit structure of the self-bias PLL is simple and the self-bias PLL has a low jitter.

The invention relates to a maximum torque current ratio control method and device. The method comprises the steps: carrying out open-loop starting on a motor so as to enable the motor to operate; after the first rotating speed of the motor reaches a preset frequency, carrying out rotating speed and current double-closed-loop control on the motor according to the actual rotating speed, determined through counter electromotive force, of the motor; when it is determined that a load is loaded on the motor and a driving voltage output to the motor by a three-phase inverter bridge is smaller than a voltage upper limit, adopting a maximum torque current ratio control method based on virtual signal injection to obtain a current vector angle given value; and controlling the motor to operate according to the current vector angle given value. According to the method provided by the embodiment of the invention, the dependence on the parameters of a permanent magnet synchronous motor is reduced in an implementation process while the defects of torque ripple, high-frequency noise, additional loss and the like existing in a traditional high-frequency signal injection method are effectively avoided; and requirements in the aspects of real-time calculation complexity, dynamic response performance, stability and the like in control are comprehensively considered while the operation efficiency of the permanent magnet synchronous motor is improved.

The invention discloses a nozzle angular vortex generator for suppressing low-frequency pressure pulsation in an open jet wind tunnel, which comprises a nozzle (2), and two turbulent bodies (1) are fixedly installed on each wall of the nozzle; wherein, the The turbulence body is an arc-shaped structure composed of a rectangular turbulence body bottom surface (11), two turbulence body side surfaces (14) and a flow direction surface (12). The angular vortex generator conducts a long-distance corner diversion of the nozzle airflow, changes the direction of the vortex, destroys the large-scale vortex structure caused by the instability of the shear layer, and suppresses the low-frequency pressure fluctuation to a large extent , which can greatly reduce the low-frequency pressure fluctuations in the wind tunnel.

An in-vehicle structure for an inverter includes a bracket, a damping bush, and a braided wire. The bracket is made of a metal plate, and serves as a metal fitting for fixing the inverter to a transmission (a vehicle). The damping bush is fitted between the bracket and either one of a case of the inverter and the transmission. The damping bush is made of an insulator. The braided wire electrically connects the case of the inverter to the transmission. The braided wire is wired along the metal plate of the bracket.

The invention discloses an intelligent video image retrieval method based on a neural network self-temperature fault and a knowledge conduction mechanism, which improves the retrieval precision of a small model while ensuring the real-time performance of the model, and achieves balance between the precision and the efficiency as far as possible. A gamma correction module is arranged, and through local adjustment of the image, illumination non-uniformity robustness is achieved, detail discernibility is improved, high-frequency noise is avoided, and universality is high; a self-temperature fault mechanism is established, local self-supervision, continuous reflection and learning parameter adjustment of the neural network are allowed, deep semantic information of the image is fully learned, rapid convergence of the neural network is achieved, and retrieval precision is improved; a knowledge conduction mechanism is adopted, the model precision is improved, the model time delay is reduced, network parameters are compressed, and finally a student model with high performance and high precision is obtained; and taking shallow feature knowledge as a learning target through a conduction mechanism, reconstructing deep features by adopting a VAE variational self-encoding model so as to generate a learning result, and measuring the learning result and the target so as to complete a learning task.