193results 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 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 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.

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.

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.

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.

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.

The invention provides a surrounding rock damage control method and system based on blasting vibration waveforms, and relates to the technical field of deep engineering, and the method comprises the steps: setting a sensor array based on a target tunnel; field detonation is conducted on the target tunnel, and a blasting vibration waveform set in the detonation process is obtained through the sensor array; calculating the wave velocity of the surrounding rock through the blasting vibration waveform set to obtain the wave velocity of the surrounding rock in the detonation process of the target tunnel; and calculating a surrounding rock damage index of the target tunnel through the surrounding rock wave velocity, and performing surrounding rock damage control on the target tunnel through the surrounding rock damage index. The problem that direct association with surrounding rock properties cannot be established during surrounding rock damage control in a traditional blasting vibration test is solved.

The welding pipe ultrasonic guided wave damage detection method based on modal conversion can realize real-time detection of global damage of the pipe, including the non-welding seam area and the welding seam area, can effectively avoid the influence of the pipe welding seam on the damage detection, and is particularly suitable for the needs of nondestructive testing of the welded pipe.

A method in which an acoustic sensor disposed in a polishing apparatus can be accurately calibrated is disclosed. In this method, polishing sounds of a substrate are acquired using an acoustic sensor; and then at least two distinctive sounds, having distinctive frequencies respectively, are selected from the acquired polishing sounds. Further, the at least two distinctive sounds are output from a sound source coupled to any of a polishing table, the acoustic sensor, and a substrate holder to cause the at least two distinctive sounds to be input to the acoustic sensor. Next, output values of the acoustic sensor are calibrated, such that the output values of the acoustic sensor relative to the at least two distinctive sounds come within an allowable range.

The application provides a bulletproof vest composite interlayer defect positioning method and system based on multi-modal nondestructive testing, electronic equipment and storage medium, relating to the technical field of nondestructive testing. The application synchronously applies ultrasonic guided waves, pulse eddy current and infrared thermal wave excitation signals to the bulletproof vest composite interlayer, collects multi-modal response signals at each position, and generates an original multi-modal response signal set. The original multi-modal response signal set is input into a pre-trained deep convolutional neural network to determine the target frequency band parameters and target noise suppression parameters of each modal response signal, and output adaptive modulation parameter groups. The original signal set is subjected to frequency domain filtering and noise suppression processing to generate an optimized signal set. The spatial frequency characteristics are input into a cross-modal feature fusion model. The attention mechanism in the model adaptively associates defect sensitive features of different modalities to generate a three-dimensional defect distribution map of the composite interlayer. Accordingly, millimeter-level precision defect positioning is achieved, which can improve the precision and efficiency of bulletproof vest composite interlayer defect positioning.

The invention discloses a sand production monitoring device based on a cantilever beam structure and an acousto-optic effect, and relates to the technical field of vibration monitoring. Comprising a vibration transducer which is of a cantilever beam structure and is used for sensing a vibration signal generated by movement of sand grains in a pipeline; the PDMS conducting layer is directly generated on the vibration transducer; the optical waveguide structure is formed on the PDMS conducting layer; the light source emitter is used for emitting a detection light signal to the optical waveguide structure; a vibration signal is transmitted to the optical waveguide structure through the PDMS conducting layer, an acousto-optic effect is caused, and a modulated optical signal is obtained; the optical detector is used for converting the modulated optical signal into an original electric signal; and the processing unit is used for processing the original electric signal and outputting an electric signal representing the sand production state of the pipeline. According to the invention, vibration can be induced through the cantilever beam structure and optical modulation is carried out by using the acousto-optic effect, so that high-sensitivity and high-stability detection of weak vibration signals of sand movement in the pipeline is realized.

A defect detection method is provided for a pressurized pipe having at least one defect. According to the method, an acoustic source generates a probing wave of a frequency range from 10 kHz to 100 kHz, where the probing wave is scattered by the at least one defect to create a reflected wave; an acoustic receiver measures a wave response to obtain a measured response, where the measured response is attributed essentially to a superposition of the probing wave and the reflected wave; and a computer device processes the measured response to locate the at least one defect.

A system and method for monitoring a battery in a user device is disclosed. The user device, in examples, includes a mobile phone and a laptop. The system includes a microelectromechanical system (MEMS) ultrasonic source, a MEMS ultrasonic sensor, a signal drive and acquisition module (SDM), and a processor. The MEMS source and sensor are included in the user device and positioned relative to the battery. The SDM configures the MEMS ultrasonic source to transmit ultrasonic pulses to the battery, and the MEMS ultrasonic sensor detects the ultrasonic waves reflected by or transmitted through the battery. The SDM collects the detected pulses, and the processor analyzes the detected pulses to determine the battery's status, including its state of health, state of charge, and instantaneous battery thickness measurements. For example, the SDM and processor may be included in the user device, and / or the SDM and signal processor may be incorporated into an integrated circuit.

The invention relates to a device for non-destructive testing of mechanical parts made of polycrystalline material, said device comprising: - an ultrasonic probe (1) comprising a two-dimensional array of transducers capable of transmitting and receiving signals at different excitation angles, and - a processing module (2) adapted to control the transmission and reception of the transducers, to process the signals received by the transducers so as to express the signals received by the ultrasonic probe in two plane wave planes constituted by the transmission and reception wave vectors of the probe, and to derive therefrom information representative of the three-dimensional orientation of the fibrous structure of the mechanical part.

Provided is a photoacoustic measuring apparatus. The apparatus comprises a light source configured to emit laser of a predetermined wavelength to a measurement target, a photoacoustic detector configured to detect a photoacoustic signal generated from the measurement target receiving the laser light emitted from the light source, a contact sensor including a first bioimpedance electrode, a second bioimpedance electrode, and a third bioimpedance electrode and configured to obtain a bioimpedance value when the electrodes come into contact with the measurement target and an operator during use of the photoacoustic measuring apparatus, and a controller configured to decide whether the apparatus is in proper contact with the measurement target and whether the operator and the measurement target are the same individual based on a bioimpedance value measured using the contact sensor.

An ultrasonic testing method includes the steps of: collecting data obtained by scanning a test specimen that is a lamination of a plurality of layers in a manner that a transducer element transmits ultrasonic signals to the test specimen and receives the ultrasonic signals reflected from the test specimen; extracting, from the ultrasonic signals transmitted and received by the transducer element, a detection result for a reflection count, the reflection count being each one of a plurality of numbers of times a received wave has reflected between the layers based on a position of a boundary between the layers; rendering an image based on a result of a comparison between detection results for different reflection counts; and evaluating a defect of two layers forming the boundary of the test specimen on the image.

The invention relates to the technical field of bridge structure health monitoring, and discloses a bridge steel strand broken wire positioning method, device and equipment and a storage medium, and the method comprises the steps that a signal receiving and enhancing system is used for collecting an acoustic emission signal when a bridge steel strand is broken, and the signal receiving and enhancing system comprises an acoustic black hole waveguide rod; the acoustic black hole waveguide rod is connected in series with each T-shaped beam bottom plate and web plate, the tail end of the acoustic black hole waveguide rod is integrated with the double-unit-cell acoustic black hole enhancement unit, and the two ends are respectively provided with the acoustic emission sensors; and determining the broken wire position of the bridge steel strand according to the time difference of the head wave of the acoustic emission signal reaching the acoustic emission sensors at the two ends of the acoustic black hole waveguide rod. The problems that early damage of a bridge structure cannot be recognized and the damage position of the bridge structure cannot be accurately positioned in the prior art are solved.

To closely monitor noises generated from a turbine generator system.SOLUTION: A system includes an acoustic monitoring, analysis, and diagnostic system having a processor. The processor is configured to receive NF noise signals from a near field (NF) microphone array, where the NF microphone array measures noises from a power generation system in an NF. The processor is configured to receive FF noise signals from a far field (FF) microphone array, where the FF microphone array measures noises from a power generation system in an FF. The processor is configured to derive NF and FF noise measurements based on the signals and to synchronize the NF and FF noise measurements to create synchronized NF and FF noise data. The processor is configured to analyze the synchronized NF and FF noise data to create NF and FF noise signatures. The processor is configured to diagnose root causes of noises generated from the power generation system and to report the root causes.SELECTED DRAWING: Figure 3