110results about "Resonant frequency" patented technology

A system for material detection and identification includes an interface configured to access a. material database associating each of a plurality of materials with one or more corresponding resonance frequencies: an RF transmitter configured to, for each material of at least a subset of the plurality of materials in the material database, transmit into an environment an RF signal at a first resonance frequency for the material; an RF receiver configured, to receive a response signal from the environment for each RF signal; and a processor configured to analyze each response signal for resonance characteristics that indicate a presence of the material and identifying the material to a user if the presence of the material is indicated by the resonance characteristics.

The invention discloses a loss tuning method of a power transformer, which is applied to a transformer body sleeved with a winding and comprises the following steps: applying scanning current excitation containing fundamental waves and harmonic waves to the winding, synchronously acquiring a body vibration signal and converting the body vibration signal into a frequency spectrum; extracting a formant from the frequency spectrum, matching the formant with a theoretical electromagnetic force wave and a structure inherent frequency library, and identifying a coupling formant to be optimized; aiming at each formant, installing a vibration exciter in a corresponding area, sending out an anti-phase periodic pulse force, and dynamically and finely adjusting a pulse force parameter by monitoring a vibration response in real time and taking equivalent mechanical impedance minimization as a target; when the optimal damping state is achieved, the vibration exciter output rod is locked, and static pre-tightening force is formed; and after all formants are adjusted and optimized in sequence and the prestress is locked, final pressing and fixing of the transformer body are completed in the state that the pretightening force is kept. According to the invention, the dynamic loss source of the individual transformer can be actively inhibited and cured before assembly and curing, the operation loss and noise are effectively reduced, and the structural stability is improved.

The invention provides an inhaul cable self-vibration fundamental frequency automatic identification method and system based on a harmonic product spectrum, and relates to the technical field of structure monitoring, and the method comprises the steps: receiving vibration acceleration data of an inhaul cable, carrying out the windowing processing of the vibration acceleration data through employing a Hanning window, and generating a windowed signal; carrying out fast Fourier transform on the windowed signal, and improving the frequency resolution by implementing zero filling to obtain an initial frequency spectrum; smoothing the initial frequency spectrum to form a smooth frequency spectrum; performing passband clipping on the smooth frequency spectrum to zero the passband outer amplitude to form a clipped frequency spectrum; calculating the signal-to-noise ratio of the frequency spectrum after cutting, and comparing the signal-to-noise ratio with a preset threshold value; if the signal-to-noise ratio is lower than a preset threshold value, judging that the signal quality is unqualified and terminating the processing flow; and if the signal-to-noise ratio is equal to or higher than the preset threshold value, continuing the normal processing flow. According to the invention, automatic and high-precision identification of the self-vibration fundamental frequency of the inhaul cable can be realized.

The invention discloses a single-port detection resonator resonant frequency on-line real-time measurement system for an MEMS gyroscope, and the system comprises a closed-loop drive circuit which is used for driving a resonator to resonate and outputting a drive detection signal; the first C / V conversion circuit converts the current into a detection voltage signal, and the on-off of the first C / V conversion circuit and the negative resistance circuit is controlled by a voltage control switch; the negative resistance circuit enables the equivalent input resistance of the first C / V conversion circuit to be a negative value so as to generate positive damping feedback force on the detection resonator; the multiplier is used for carrying out multiplication demodulation on the detection voltage signal and the driving detection signal, and the angular velocity of the MEMS gyroscope is output after the signals are filtered by the low-pass filter; the upper computer controls the on-off of the voltage control switch, the frequency fd and the frequency fs are calculated through fast Fourier transform by driving the detection signal and the detection voltage signal respectively, the frequency difference is obtained by solving the difference, and the resonant frequency of the single-port detection resonator is measured on the premise that the work of the MEMS gyroscope is not affected.

A method for determining a vortex-induced resonance region of a wind turbine blade and an anti-vortex device are provided, and relates to the technical field of wind power equipment. The method includes: obtaining the natural frequency of the wind turbine blade; segmenting the wind turbine blade to obtain a plurality of blade sections; calculating a vortex shedding frequency of a cross section of each of the plurality of blade sections at different wind speeds or under different operating conditions; and determining at least one vortex-induced resonance region of the wind turbine blade by comparing the vortex shedding frequency of the cross section of each of the plurality of blade sections at different wind speeds or under different operating conditions with the natural frequency.

A method for detecting interference between a transducer of acoustic signals and a sensor having a mechanical resonance frequency with a frequency band that includes transmitting an acoustic signal within a known range of frequencies, in a sequence during a predetermined time window, monitoring the output signal from the sensor within said time window, comparing the transmitted signal with the sensor output signal and detecting deviations in the sensor output signal corresponding to frequencies in the acoustic signal, and determining the acoustic frequencies interfering with the sensor signal. A system for detecting interference including a transducer, configured to emit a sequence of acoustic signals, and a sensor configured to produce an output signal, an analysis unit adapted to monitor said output signal with the acoustic signal.

Disclosed herein is a system and method for optimizing RF power delivery to a plasma process chamber. This invention utilizes a data-driven approach to determine resonant frequencies for various plasma states, eliminating the need for conventional PID controls. By collecting performance data from an RF power generator as a function of operating frequency during the process recipe execution and analyzing portions of the waveform, the system continuously identifies resonating frequencies for each plasma state. Consequently, the RF power generator adapts in real-time to deliver optimal stability and performance.

The invention relates to a method for detecting at least one target, implemented using a detection system which includes a measuring device (1_A, 1_B) comprising a mechanical oscillator (11_A, 11_B) and a fluidic circuit (10_A, 10_B) integrated into the oscillator and in which a fluid containing said at least one target to be detected is made to circulate, said oscillator (11_A, 11_B) being capable of being excited according to several vibration modes (M_1, M_2, M_3) and comprising on the fluidic network at least a first trap positioned on an antinode of a first vibration mode of the oscillator and a second trap positioned on an antinode of a second vibration mode of the oscillator, an antinode of vibration corresponding to a position in which the vibration amplitude goes from 80% to 100% of the maximum amplitude for the selected vibration mode.

The invention relates to a method for machining a watch or jewelry component (20) by cutting material, comprising the steps of: - obtaining a support substrate (10), - positioning or clamping the support substrate (10) in a machine tool, - machining at least partially the watch or jewelry component (20), - applying a vibratory excitation to the watch or jewelry component (20) still attached to the support substrate (10), - measuring a vibratory response of the watch or jewelry component (20), to determine at least one characteristic of a resonance frequency, - providing said at least one resonance frequency characteristic to a machining prediction machine to determine or modify at least one machining step to be carried out before finishing the watch or jewelry component (20).

The present disclosure is related to methods for determining a frequency of an oscillation mode of a wind turbine, comprising: determining a motion of a first mass of a first tuned mass damper in the wind turbine and deriving the frequency of the oscillation mode of the wind turbine at least partially based on the determined motion of the first mass. The present disclosure further relates to methods for operating a wind turbine, and to wind turbines, particularly offshore wind turbines, comprising tuned mass dampers.

The application provides a Coriolis flowmeter inherent frequency detection method, device and electronic equipment. The embodiment uses a sine wave sweep excitation signal with continuous frequency and phase changes to detect the inherent frequency of the Coriolis flowmeter, and eliminates problems such as poor anti-interference performance and harmonic interference caused by using equal-interval square wave signals to measure the inherent frequency of the Coriolis flowmeter. With the vibration characteristics of the flow tube in the Coriolis flowmeter derived, the frequency and phase of the sine wave sweep excitation signal used to drive the flow tube to vibrate are continuously changed, so that the interference of the external excitation signal itself on the flow tube vibration can be directly offset or reduced, the signal-to-noise ratio (SNR) is greatly improved, for example, the SNR is increased from 1db when the flow tube is excited by using equal-interval square wave signals to at least 18db by the method provided in the embodiment, the inherent frequency of the Coriolis flowmeter is accurately detected, and the anti-interference performance is enhanced.

A method of determining a resonance frequency of a capacitive micromachined ultrasound transducer may include directing a broadband excitation waveform at an ultrasound transducer, wherein the excitation waveform comprises a frequency band which includes an anticipated resonance frequency of the ultrasound transducer; and measuring a ringdown characteristic of the ultrasound transducer.

A vehicle seat control apparatus for controlling seat vibration based on a sleep state of a driver and a method thereof are provided. The apparatus includes a detector that detects biometric information of a user and a driving device that controls a vibrator embedded in a vehicle seat. The apparatus further includes a controller connected with the detector and the driving device. The controller determines a sleep state of the user based on the biometric information detected by the detector, determines a frequency and a waveform of seat vibration based on the sleep state, and generates the seat vibration by controlling the driving device based on the frequency and the waveform of the seat vibration.

An acoustic volume sensing device is disclosed. The device includes a housing comprising a reference volume chamber and a variable volume chamber, the reference volume chamber and the variable volume chamber connected by a resonant port, a first MEMS microphone located in acoustic relation to the variable volume chamber, a second MEMS microphone located in acoustic relation to the reference volume chamber, a MEMS speaker located in acoustic relation to the reference volume chamber, and a circuit board in electric connection with the first and second MEMS microphones and the MEMS speaker.

An implantable pressure sensor. In some embodiments, a system includes a pressure sensor. The pressure sensor may include: an AT-cut quartz crystal configured to measure pressure, and a biocompatible coating, covering the AT-cut quartz crystal.

An abnormality detector comprises a specific section extractor, a feature amount calculator, and an abnormality diagnoser. The specific section extractor divides, into specific section data, phase current caused to flow through an electric motor used in a control rod drive device, and extracts the specific section data. The feature amount calculator calculates a feature amount for use in diagnosis in the abnormality diagnoser. The abnormality diagnoser diagnoses a presence or absence of abnormality of the control rod drive device based on the feature amount. The feature amount calculator calculates a natural frequency of the entire control rod drive device based on an electrical parameter of the electric motor and a mechanical parameter of the control rod drive device, and calculates the feature amount by using the natural frequency and an applied voltage frequency to the electric motor.

This system prevents the failure to detect abnormalities in the drive system due to the electrical parameters of the electric motor used in the drive system and the mechanical parameters of the drive system itself. [Solution] The anomaly detection device 20 comprises a specific section extraction unit 22, a feature quantity calculation unit 24, and an anomaly diagnosis unit 25. The specific section extraction unit 22 divides and extracts the phase current (motor phase current 31) flowing through the motor 11 used in the control rod drive device 10 into specific section data (section current data 32). The feature quantity calculation unit 24 calculates feature quantities to be used for diagnosis in the anomaly diagnosis unit 25. The anomaly diagnosis unit 25 diagnoses whether or not there is an anomaly in the control rod drive device 10 based on the feature quantities. The feature quantity calculation unit 24 calculates the natural frequency of the entire control rod drive device 10 based on the electrical parameters of the motor 11 and the mechanical parameters of the control rod drive device 10, and calculates feature quantities using the natural frequency and the applied voltage frequency to the motor 11.

Embodiments disclosed herein include diagnostic substrates and methods of using such substrates. In one embodiment, a diagnostic substrate includes a substrate and a device layer over the substrate. In one embodiment, the diagnostic substrate further includes a resonator in the device layer. In one embodiment, the resonator includes a cavity, a cover layer over the cavity, and an electrode within the cavity for driving and sensing resonance of the cover layer. In one embodiment, the diagnostic substrate further includes a reflector around a perimeter of the resonator.

The application discloses a kind of PCCP pipeline abnormal vibration high frequency automatic identification method, system and equipment, belong to concrete pipeline vibration automatic monitoring field. Including: the modal decomposition is carried out to the broken wire vibration data monitored, and Hilbert spectrum calculation is carried out, obtain time-frequency spectrum;Calculate the vibration energy curve after each filtering with time variation;Curve is normalized, and the one-dimensional vibration energy data after normalization is dimension, form filter threshold-time-filtered energy matrix;Based on energy-time curve before filtering selects key analysis time period, and obtains the corresponding filter threshold-time-filtered energy matrix sub-matrix;To the row (or column) of each filter frequency threshold value corresponding to sub-matrix selects upper quartile and handles, form filter frequency threshold-normalized filtered energy mean curve;According to the maximum on the curve, obtain the highest frequency of PCCP pipeline abnormal vibration.The application can realize automatic identification.

The present application provides a kind of cantilever resonance frequency and quality factor measurement method and device, compared with the measurement method based on the PLL technology of existing phase-locked loop, can more comprehensively grasp sample magnetic property, and when responding to cantilever quality factor mutation, there is good measurement stability.The measurement method of the present application includes: cantilever driving step, wherein the driving signal of first frequency is used to drive the cantilever to vibrate, and then stop the driving signal;Free decay signal acquisition step, wherein in response to the stop of the driving signal, the free decay vibration signal of the free end of the cantilever is acquired;And data processing step, wherein the acquired free decay vibration signal is processed to obtain the resonance frequency and quality factor of the cantilever.

This invention relates to the field of mechanical control technology, and in particular to a method, apparatus, and motor system for detecting the resonant frequency of a motor. The method includes: testing the motor with a plurality of first pulses of increasing amplitude to obtain a plurality of first test images; obtaining the fluctuation frequency and critical frequency of the first test images; determining an adjustment value and a test frequency based on the fluctuation frequency and critical frequency of all the first test images; testing the motor with a plurality of second pulses of decreasing amplitude based on the adjustment value to obtain a plurality of second test images; updating the test frequency and adjustment value based on the plurality of second test images; if the adjustment value is not 0, repeating the setting of the second pulses and updating the adjustment value until the adjustment value is 0; otherwise, setting test pulses according to the test frequency; and testing the motor using the test pulses. This invention solves the problem of inaccurate detection of the resonant frequency due to inappropriate selection of test pulses.

Provided is a machine learning device capable of causing idling of a tool, and of calculating oscillation conditions that realize favorable evaluation data of finished workpieces. The machine learning device that learns oscillation conditions of a machine tool that performs oscillation cutting while oscillating a tool and a workpiece relative to each other is provided with a set conditions acquisition unit that acquires set conditions for the oscillation cutting, a label acquisition unit that acquires evaluation data of finished workpieces by the machine tool as a label, and a learning unit that performs supervised learning using a set of the set conditions and the label as training data, the learning unit being provided with a learning model for training oscillation conditions that optimize the evaluation data of the finished workpieces.

The invention proposes a system for monitoring the vibrations, in particular the natural frequency, of a tower (1) of a wind turbine (2), comprising vibration sensors (3) associated with the tower (1) and comprising an evaluation device (4) for processing vibration sensor data. In order to be able to make reliable statements about damage to the tower (1), it is proposed that a plurality of vibration sensors (3) are arranged annularly around the tower axis (6) in three or more tower cross-sectional planes (5) along the tower axis (6), wherein the evaluation device (4) stores, in addition to the natural frequency (fi), vibration amplitudes (A) associated with the respective tower cross-sectional planes (5) at observation times (Ti) and identifies structural damage in the tower (1) by way of comparing the natural frequencies (fi) and the amplitude ratios (A) over an observation period.

Vibration sensor (100) with a diaphragm (90) that can be set into vibration and a mounting arrangement (10) for connecting the diaphragm (90) to a drive unit (11) such that vibrations of the drive unit (11) are transmitted to the diaphragm (90) and vibrations of the diaphragm (90) to the drive unit (11), wherein the mounting arrangement (10) is designed as a cylindrical sleeve which is attached at one end indirectly or directly to the diaphragm (90) or to an element connected to the diaphragm (90) and has at the other end an insertion opening (14) for the drive unit (11) characterized in that the diaphragm (90) is attached circumferentially to a process connection (80) and the mounting arrangement (10) engages the process connection (80) at least section by section in the radial direction (R) in the circumferential direction.

The embodiments of the present specification disclose a vibration sensing device, comprising: an acoustic transducer; a vibration assembly connected with the acoustic transducer, the vibration assembly is configured to transmit an external vibration signal to the acoustic transducer to generate an electrical signal, the vibration assembly comprises one or more groups of diaphragms and mass blocks, the mass blocks are physically connected to the diaphragms; the vibration assembly is configured to make the sensitivity of the vibration sensor greater than the sensitivity of the acoustic transducer within one or more target frequency bands.

The invention provides a micro-nano vibration laser interference dynamics measurement optimization method based on polarization enhancement, which is based on a polarization control system and comprises a laser generator, a reflector, a half slide, a polarization beam splitting cubic mirror, an objective lens, a micro-nano electromechanical resonator, a convex lens, a photoelectric detector, a spectrum analyzer, a network analyzer, a blue laser generator and a long-wave pass filter. Wherein a first quarter-wave slide is arranged between the laser generator and the reflector, a second quarter-wave slide is arranged between the reflector and the half-wave slide, and a third quarter-wave slide is arranged between the polarization beam splitting cubic mirror and the objective lens. According to the optical path enhancement technology based on polarization optimization, the input laser energy is utilized to the maximum extent, and the transmission loss of the laser in the optical path is reduced. The weak response signal of the micro-nano electromechanical resonator in a non-driving thermal vibration state is successfully and substantially amplified and purified, and a better measurement method is provided for deeply researching the dynamic characteristics of the micro-nano electromechanical resonator.

The present application relates to the technical field of visual detection, in particular to a visual detection method and system for packaging defects of mulberry tea beverage and a medium, comprising collecting a backlight transmission image of a bottle mouth thread area, extracting a main frequency peak value sharpness, spectral line symmetry and phase stability features coupled with a thread period through frequency domain analysis to obtain a first discrimination index; when the discrimination result is in a suspected interval, successively introducing low-frequency vibration response analysis, surface flow characteristic analysis under spatial non-uniform radiation heating and frequency response analysis under wide-band pulse excitation to respectively obtain second, third and fourth discrimination indexes. Based on comprehensive evaluation of multiple discrimination indexes, outputting a final discrimination conclusion and confidence of liquid residue or structure damage to realize high-reliability and interpretable detection of packaging defects and be suitable for automatic quality detection of a beverage production line.

A method of evaluating a natural frequency of a piezoelectric vibrator including a vibrating membrane and a piezoelectric element, includes: transmitting a drive signal to the piezoelectric element for a certain period of time so as to allow the vibrating membrane to vibrate; acquiring information about a power-generating wave of the piezoelectric vibrator after stopping the transmission of the drive signal to the piezoelectric element; and determining a frequency of the drive wave at which a value of a voltage of the power-generating wave is maximum as the natural frequency of the piezoelectric vibrator, based on the information about the power-generating wave.