315results about "Response signal detection" patented technology

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention provides a body armor composite interlayer defect positioning method and system based on multi-modal nondestructive testing, electronic equipment and a storage medium, and relates to the technical field of nondestructive testing. Ultrasonic guided wave, pulsed eddy current and infrared thermal wave excitation signals are synchronously applied to a body armor composite interlayer, and multi-modal response signals of all positions are collected; and generating an original multi-modal response signal set. And inputting the signal into a pre-trained deep convolutional neural network, determining a target frequency band parameter and a target noise suppression parameter of each modal response signal, and outputting an adaptive modulation parameter group. Performing frequency domain filtering and noise suppression processing on an original signal set to generate an optimized signal set, inputting spatial frequency features into a cross-modal feature fusion model, adaptively associating defect sensitive features of different modals through an attention mechanism in the model, and generating a three-dimensional defect distribution diagram of the composite interlayer, thereby realizing millimeter-level precision defect positioning. The precision and efficiency of body armor composite interlayer defect positioning can be improved.

An inspection method is provided during which a piezoelectric device is arranged with a specimen component of a powerplant. The arranging includes abutting the piezoelectric device against a surface of the specimen component. An electrical current is provided to the piezoelectric device at a (e.g., fixed) electrical voltage. The providing of the electrical current to the piezoelectric device energizes the piezoelectric device and induces vibrations in the component across a frequency range. The electrical current provided to the piezoelectric device during the energizing of the piezoelectric device and the inducing of the vibrations in the specimen component is monitored to determine a plurality of measured resonant frequencies of the specimen component within the frequency range. A measured resonance signature for the specimen component is determined based on the measured resonant frequencies of the specimen component.

The invention belongs to the technical field of metal crack detection, and discloses a metal microcrack ultrasonic detection method, which comprises the following modules: an ultrahigh frequency composite array probe with a center frequency dynamic adjustable range of 5-50 MHz; the dual-mode excitation and receiving module is used for independently generating a pulse reflection mode excitation signal and a diffraction mode chirp frequency modulation signal; the phase-controlled synthetic aperture dynamic focusing module is used for realizing + / -60-degree deflection and sub-wavelength level focusing of acoustic beams; the nonlinear harmonic enhancement module is used for exciting a crack nonlinear effect by superposing 1-2MHz fundamental waves; and a time-space-frequency three-domain data fusion module. According to the method, signal-to-noise ratio collapse caused by the diffraction effect in a traditional method is overcome, more importantly, the system has low-frequency penetrability and high-frequency resolution at the same time due to 80%-120% of broadband coverage of chirp frequency modulation signals, the diffraction signal gain is increased by 20 dB or above, a near-surface blind area is compressed to be within 0.2 mm, and the system can be applied to the field of radar imaging. And the core pain point of missing detection of the near-surface microcracks of the thin-wall component is solved.

The invention belongs to the technical field of sewage treatment and membrane separation, and provides an in-situ nondestructive membrane pollution detection system and method based on an ultrasonic transmission signal, and the system comprises an ultrasonic excitation module which is used for generating a sine wave excitation signal which penetrates through a membrane body to excite the ultrasonic transmission signal for pollution detection; the signal processing module is used for continuously collecting and preprocessing ultrasonic transmission signals of the clean membrane body and the membrane bodies with different pollution degrees, extracting ultrasonic transmission signal characteristics under different pollution degrees, and establishing a pollution thickness-signal characteristic mapping model; wherein the ultrasonic transmission signal features comprise a time-frequency domain energy gravity center feature and a frequency attenuation spectrum slope feature; and the pollution detection module is used for judging the pollution stage of the membrane body to be detected based on the pollution thickness-signal feature mapping model, and completing in-situ nondestructive membrane pollution detection. According to the technical scheme, the sludge pollution state in the ceramic membrane and flat membrane filtering process can be monitored in real time, and early warning and pollution dynamic tracking are achieved.

The present invention discloses a wireless ultrasonic measurement system and a construction method thereof, wherein the measurement system includes a sensing module and a detection module; the sensing module includes a piezoelectric layer on the surface of the detection object, a first lead-out electrode structure, a first grounding electrode structure, a first insulating plate, and a sensing coil; the first insulating plate is provided with a first opening; the first lead-out electrode structure includes a first lead-out electrode on the top of the piezoelectric layer and a second lead-out electrode in the first opening; the first grounding electrode structure includes a first grounding electrode and a second grounding electrode; the second lead-out electrode and the second grounding electrode are respectively connected to the first lead-out electrode and the first grounding electrode; the sensing coil is provided at the top of the first insulating plate. The detection system of the present invention uses an insulating plate to isolate the sensing coil away from the surface of the detection object, which is conducive to the sensing coil generating a non-zero induced voltage U ind , thereby enhancing the signal of the receiving coil, and realizing contactless ultrasonic signal reception with a receiving distance of up to 20mm.

The invention relates to the technical field of bag type dust collector filter bag abrasion detection, in particular to a filter bag damage non-contact detection method and system based on acoustic array positioning. The method comprises the following steps: arranging an acoustic sensor array in an air purification chamber of the dust remover, and collecting acoustic signals in real time; after band-pass filtering is carried out on the signals, feature vectors of the signals are extracted and matched with a pre-established acoustic fingerprint database, so that a filter bag damage event is recognized; after identification, based on the time difference of arrival of the signal to at least three sensors in the array, combining the coordinates of the sensors and the sound velocity, and utilizing a TDOA positioning algorithm to calculate the space coordinates of the damaged sound source; and finally, matching the coordinates with a pre-stored filter bag coordinate mapping table, determining the number of a specific damaged filter bag, and performing visual highlight marking on a pattern board plane layout of an application layer terminal. The online, real-time, automatic and accurate positioning of the damaged filter bag is realized, the problem that the prior art can only give an alarm but cannot position is solved, and the operation and maintenance efficiency and safety are improved.

The invention provides a cultural relic ancient building hollow beam body damage quantification and bearing capacity verification method, and relates to the technical field of data processing, and the method comprises the steps: obtaining the original detection data of a hollow beam body; noise filtering processing is carried out on the ultrasonic signal data and the infrared imaging data, and correction is carried out in combination with an environment humidity parameter; in combination with the water content data of the detection points, carrying out space partitioning on the structural area of the hollow beam body; analyzing humidity correction data in each space partition, identifying signal abnormal areas, and extracting damage features in each abnormal area; performing weighted normalization processing on the multi-dimensional damage parameters, establishing mapping in combination with the moisture content of the spatial partitions and statistical data, and generating a damage quantification result of each spatial partition; carrying out mechanical analysis by combining the material type, the geometric dimension and the load information of each space partition, and generating a bearing capacity distribution result of the hollow beam body; the accuracy of the method for quantifying the damage of the hollow beam body of the cultural relic and ancient building and verifying the bearing capacity is improved.

An inspection method is provided during which a head of an inspection scope is inserted into an interior of a powerplant. The head of the inspection scope includes an actuator and a sensor. The powerplant includes a component within the interior of the powerplant. The head of the inspection scope is abutted against a surface of the component. Vibrations in the component are induced using the actuator. A vibratory response excited by the vibrations is measured using the sensor to provide measurement data. The measurement data is filtered to provide filtered data, and the filtering includes detrending the measurement data.

A MEMS AE transducer system is provided that takes advantage of the low power consumption and lightweight characteristics of MEMS AE transducers, while also achieving higher sensing sensitivity. To address the problem of low sensitivity typically associated with MEMS AE transducers, electrical responses of multiple MEMS AE transducers operating at different frequency ranges are combined to increase the bandwidth and sensitivity of the MEMS AE transducer system. As the frequencies are constructive, the combined response on a single channel is the actual summation of two signals with an improved signal to noise ratio. Additionally, each frequency can be decomposed because they are well separated from each other due to the super narrowband response and high Quality factor of MEMS AE transducers.

Systems and methods for monitoring structural integrity are provided. Acoustic sensors are disposed in relation to an area of interest of a structural member to detect an acoustic emission and output an acoustic emission signal. The signal is collected, and a computing device evaluates acoustic emission signal characteristics and predicts whether a crack is present. The acoustic emission signal characteristics are used to detect and predict aspects associated with formation and growth of cracks at various locations of the structural member.

The invention relates to the field of ultrasonic flaw detection, in particular to an ultrasonic nondestructive flaw detection system based on a photoacoustic effect, which comprises a photoacoustic excitation module used for emitting excitation laser to scan the surface of a detected object and inducing the photoacoustic effect to generate ultrasonic waves on the surface of the detected object through the excitation laser; the optical detection module comprises a detection laser and a four-quadrant detector, the detection laser is used for emitting detection laser, the detection laser is incident to a detection point on the surface of the detected object at a preset inclination angle, and the four-quadrant detector is used for receiving the detection laser reflected by the detection point; and the computer is connected with the four-quadrant detector, and is used for receiving the current signal output by the four-quadrant detector, calculating the light spot offset of the center of the detection light spot relative to the center of the four-quadrant detector, and calculating the internal damage position of the detected object by analyzing the time domain characteristic of the light spot offset. According to the invention, the defects of contact detection limitation and coherent light interference technology are overcome, the sensitivity and applicability are improved, and the cost is reduced.

Provided herein are inspection systems and methods for detecting MTR present within a subsurface volume of a sample. These methods use acoustic transducers and optional near-surface sensors to introduce inspection energy into a sample. The signal data representing the examination energy is analyzed to detect the MTR. In some methods, an offset of a frequency distribution of signal data is determined. In other methods, a distribution of values of a given characteristic of the signal data, such as amplitude or frequency, is calculated, and a quantitative description of the distribution is calculated. Response scores and / or intensity maps may be generated for the samples based on the analysis of the signal data. An MTR score indicative of the MTR in the sample may be related to the response score and / or the intensity map. The sample may then be processed based on the response score and / or the intensity map and its correlation with the MTR score.

Disclosed is a non-destructive inspection method and system based on self-supervised learning, which detect the inside of an inspection object in a non-destructive way by using ultrasonic waves and also predict the depth of a defect through self-supervised learning. According to the non-destructive inspection method, it is possible to predict whether a defect is present within an inspection object and the depth of the inspection object in a non-destructive learning way, by augmenting a floor reflected signal into which physical characteristics of a defect reflected signal are incorporated through random scaling, applying an arbitrary defect signal to a random location, and determining whether a defect is present based on an average of the absolute values of a defect prediction signal and a statistical threshold by training a model in a way to remove the arbitrary defect signal through the structure of the denoising autoencoder.

The invention provides a rock-soil acoustic emission signal monitoring system and method, and belongs to the technical field of rock-soil monitoring, in the scheme, an acoustic emission probe is in contact with rock-soil to monitor fracture sound waves in real time and transmit the fracture sound waves to a signal processing module, and the signal processing module filters acoustic emission signals and then transmits the acoustic emission signals to an upper computer; the upper computer extracts rock-soil fracture acoustic emission signal features and displays the rock-soil fracture acoustic emission signal features; the upper computer circularly receives the data uploaded by the FPGA acquisition card and directly accesses the uploaded data through memory mapping; setting multiple threads for concurrently processing acoustic emission signal data, adopting a lock-free queue for communication among the threads, and triggering the queue by using semaphore; and after the thread queue reaches a triggering condition, storing the acoustic emission signal and displaying a pulse waveform. The method has the beneficial effects that the problems of poor real-time performance and high false alarm rate in the rock-soil fracture acoustic emission monitoring process are solved, and the situation of missed alarm due to hardware communication delay is avoided.

The invention relates to a nondestructive testing ultrasonic imaging method based on a spatial frequency spectrum coherence coefficient and a coherence energy coefficient, and belongs to the technical field of ultrasonic nondestructive testing. The technical problem that high resolution and high contrast cannot be both considered in a traditional delay superposition algorithm is solved. According to the technical scheme, the method comprises the steps of preprocessing ultrasonic echo signals; extracting a spatial spectrum coherence coefficient through discrete Fourier transform; fusing symbol coherence and energy distribution characteristics to generate a coherent energy coefficient; weighting a delay superposition result by using double coefficients; and outputting an optimized scanning line signal through adaptive FIR band-pass filtering. The method has the technical effects that the traditional balancing bottleneck of imaging resolution and contrast is broken through, interference artifacts in a metal homogeneous medium are remarkably inhibited, the micro-defect identification capability is enhanced, and the method is adaptive to diversified industrial detection scenes.

The invention discloses a battery mechanical damage monitoring method and system in the transportation process of an electric vehicle based on acoustic emission spectrum analysis, and the method comprises the steps: carrying out the multi-scale decomposition of an original signal sequence through wavelet transform, separating out a high-frequency transient component and low-frequency background noise, and obtaining a denoised elastic wave signal; calculating time domain features including peak amplitude and duration according to the denoised elastic wave signal, and combining frequency domain features such as a main frequency component to obtain a comprehensive feature vector; if the peak amplitude of the comprehensive feature vector exceeds a preset threshold value, judging that the event is a potential damage event, and extracting a damage related subset from the feature vector to obtain a damage candidate feature; training the damage candidate features through a support vector machine classifier to obtain damage type labels; and aiming at the damage type label fusion transportation environment data, a sliding window is adopted to analyze and track the signal change trend, and the damage evolution degree is determined. According to the invention, accurate identification, classification and dynamic monitoring of transportation damage of the battery pack are realized.

The invention relates to the technical field of steel pipe concrete structure detection, in particular to a method for detecting fatigue damage of a steel pipe concrete correction structure for waste incineration power generation. The ultrasonic detection signals under different primary frequencies are subjected to comparative analysis of signal intervals with different amplitude changes, and the ultrasonic detection signals under different frequencies are subjected to targeted filtering optimization processing based on analysis results, so that the accuracy of damage information judgment under different frequencies is comprehensively evaluated. Accurately screening ultrasonic detection signals in the detection process of the correction structure according to an evaluation result, and obtaining a fatigue damage detection result of the correction structure based on a screening result; the accuracy of fatigue damage information judgment of the correction structure is improved, and the detection performance of the concrete filled steel tube correction structure at different positions is improved.

Provided herein are inspection systems and methods for detecting MTR present within a subsurface volume of a sample. These methods use acoustic transducers and optional near-surface sensors to introduce inspection energy into a sample. The signal data representing the examination energy is analyzed to detect the MTR. In some methods, an offset of a frequency distribution of signal data is determined. In other methods, a distribution of values of a given characteristic of the signal data, such as amplitude or frequency, is calculated, and a quantitative description of the distribution is calculated. Response scores and / or intensity maps may be generated for the samples based on the analysis of the signal data. An MTR score indicative of the MTR in the sample may be related to the response score and / or the intensity map. The sample may then be processed based on the response score and / or the intensity map and its correlation with the MTR score.

A tool abnormality detection system includes a detector configured to detect a sound wave generated in processing a workpiece with a tool and output a detection signal based on the sound wave, and a controller configured to generate, based on the detection signal, determination signals indicating intensities in respective frequency bands: a fundamental frequency band of a wear-indicative sound wave; and a higher frequency band that is higher than the fundamental frequency band, and determine whether the tool is worn by comparing each of the determination signals to its respective wear threshold which is set for the respective frequency bands.

A system and a method for non-destructive characterizations of objects using Laser Acoustic Resonance Spectroscopy (LARS)-based diagnostic techniques are provided. The system includes using a laser doppler vibrometer to measure vibrational responses of objects. The method includes measuring vibrational frequency responses of a first object and a second object, performing a spectra analysis of the vibrational frequency responses, determining a frequency shift based on the spectra analysis, and indicating a difference between the first object and the second object or a presence of a defect in the second object if the determined frequency shift exceeds a predefined threshold value. The difference between the first object and the second object may indicate the presence of a void, a crack, or a plurality of pores in the second object, or can be used for validating or authenticating the second object as a defective or counterfeit item, in various embodiments.

An exciter (11, 12) induces an elastic wave in a test object by sequentially giving the object multiple kinds of vibrations having different frequencies. An illuminator (13, 14) performs stroboscopic illumination on a measurement area on the surface of the object. A displacement measurer (15) controls the timing of the stroboscopic illumination with respect to the phase of the elastic wave for each kind of vibration to perform a batch measurement of the displacements, in the off-plane direction of the surface, of the points within the measurement area at least at three different phases of the elastic wave, using speckle interferometry or speckle-shearing interferometry.

This method allows for accurate, non-destructive investigation of voids in concrete structures. [Solution] The acquisition unit inputs a pulse wave to the investigation area of ​​the concrete structure that is the subject of the investigation to determine whether or not there are voids, and acquires the measured waveform of the reflected wave measured at the investigation area. The theoretical value calculation unit calculates the theoretical value of the frequency of the reflected wave of the pulse wave in the concrete structure. The correlation calculation unit finds the cross-correlation function between the measured waveform and the waveform having the frequency related to the theoretical value. The estimation unit estimates whether or not there are voids in the concrete structure based on the peak frequency of the cross-correlation function.

A scanning measuring device (1) of an ultrasonic examination apparatus (Z) comprises a transmission probe (110) and a reception probe (121) installed on an opposite side of the transmission probe (110) with respect to an examination object, wherein the transmission probe (110) emits the ultrasonic beam by applying a voltage waveform of a repetitive wave packet comprising a wave packet with a wave number of 2 or more thereto, the scanning measuring device drives the transmission probe (110) at an excitation frequency higher than a resonance frequency of the transmission probe (110), the control device 2 comprises a signal processing unit (250), the signal processing unit (250) comprises a filter unit (240) which reduces at least a maximum intensity frequency component of a reception signal of the reception probe (121), and the filter unit (240) has a peripheral frequency component,which is a component other than the maximum intensity frequency component, in a fundamental wave range that includes the maximum intensity frequency component.,

The present application relates to ultrasonic guided wave detection instrument technical field, especially in a kind of non-contact ultrasonic guided wave detection instrument with one excitation multi-receiving function.The instrument includes analysis imaging unit, main control unit, excitation amplification unit, N channel switching unit, two groups of non-contact ultrasonic guided wave sensor and acquisition signal amplification unit, two groups of non-contact ultrasonic guided wave sensor are used to realize that different positions on pipeline produce multi-order mode ultrasonic guided wave respectively, and the reflected wave or transmission wave signal after the interaction of guided wave and defect in different directions is collected, the acoustic wave information representing the characteristics of defect is comprehensively obtained, so as to realize the high-precision imaging of the defect in the region to be detected.The stability and reliability of signal transmission are ensured by front-end excitation amplification and rear-end acquisition amplification.Non-contact detection is used, which has wide applicability and convenience.

The invention relates to an instrumentation kit and a system capable of implementing a method for detecting a material leak from an industrial device, comprising the steps of measuring a vibration of a peripheral element arranged to receive a portion of material falling from the industrial device; and, in response to this measurement, and by means of an electronic computing system, generating a calculated signal representative of the fall of the falling portion of material at a drop point located on the peripheral element. Figure to be published with the abstract: Fig. 1

System (10) for determining a trigger amplitude indicating a precursor to material failure in a test specimen (12), the system (10) comprising: a microphone (20) that converts the sound emission emitted by the test specimen (12) into electrical signals (40), wherein a load (38) is applied to the test specimen (12) and the sound emission is emitted when the load (38) causes deformation of the test specimen (12) prior to material failure; a control module (22) in electrical connection with the microphone (20), the control module (22) being configured to execute instructions for: monitoring the electrical signals (40) generated by the microphone (20); filtering the electrical signals (40) generated by the microphone (20) to allow frequencies within a range of interest and to attenuate frequencies outside the range of interest;Converting the electrical signals (40) generated by the microphone (20) into individual frequency components (66) based on a fast Fourier transform (FFT) (62), wherein each of the individual frequency components (66) contains a peak intensity that represents audible sound; and determining the trigger amplitude based on the peak intensity of the individual frequency components (66) of the FFT (62); wherein the individual frequency components (66) of the FFT (62) define an amplitude track (82); wherein the control module (22) is executed to determine the trigger amplitude by: analyzing the amplitude track (82) using a kernel density estimator (KDE) function, wherein the KDE function produces a smoothed estimate of the amplitude track (82), and wherein the smoothed estimate of the amplitude track (82) contains a plurality of peaks (84), each representing a number of times that a peak amplitude (68) occurs in the FFT (62);and identifying a highest peak (84A) of the smoothed estimate of the amplitude trace (82), wherein the highest peak (84A) represents the peak amplitude (68) that occurs most frequently in the FFT (62).

The invention relates to the technical field of soil monitoring and analysis, in particular to an underground frozen soil ice layer monitoring system and device based on multi-sensor fusion. Ultrasonic signals are sent and received through a sound wave monitoring unit, the surface temperature value of a probe is obtained through a temperature measuring unit, and the probe is heated through a temperature control module; constructing a wave velocity change curve through a feature extraction module and dividing the wave velocity change curve into a plurality of sub-curve segments; the surface state trend of the probe is judged according to the first analysis result of the surface state characterization quantity of the probe through the feature joint judgment module, the continuous output power determination mode of the temperature control module is selected according to the surface state trend through the power screening unit, and the ultrasonic signals collected under the continuous output power are recorded through the monitoring recording unit. The heating power is dynamically adapted according to the deicing effect of the probe and the influence phenomenon of heating on the environment, and the data acquisition accuracy of underground frozen soil ice layer monitoring is improved.

The invention discloses an electrical fire hazard on-line monitoring and advanced early warning method and system, and relates to the technical field of electrical monitoring, and the method comprises the steps: injecting a group of excitation signals of a preset frequency spectrum into an electrical connection point when the electrical connection point bears a working current; synchronously acquiring an electric response signal and a thermal response signal generated by the excitation signal at the electrical connection point, and extracting energy and heat conversion efficiency at each frequency spectrum point to form a real-time efficiency characteristic spectrum; performing multi-scale decomposition on the real-time efficiency characteristic spectrum, and separating out a low-frequency trend component reflecting the overall oxidation state of the contact surface, an intermediate-frequency fluctuation component reflecting microcosmic cracks and chippings and a high-frequency noise component reflecting the characteristics of a surface film; according to the invention, directional tracing and comprehensive evaluation of the degradation type, the severity level and the remaining effective life of the electrical connection point are realized, and online monitoring and advanced early warning of electrical fire hazards are successfully achieved.