147results about "Material analysis using acoustic emission techniques" patented technology

Methods, systems, and devices for abnormal sound detection are described. An audio recording of a mechanized environment may be obtained. First sounds extracted from the audio recording may be categorized into a set of categorical sounds. A library of first sound patterns may be generated using the categorical sound and based on second sounds extracted from the audio recording. The first sound patterns may include sequences of the categorical sounds. Audio data including audio signals capture by sensors in the mechanized environment may be received, and second sound patterns detected in the audio signals may be compared with the first sound patterns. Based on comparing the second sound patterns with the first sounds patterns, a sound pattern that is not in the library of the first sound patterns may be identified. An alarm may be generated based on detecting the sound pattern a threshold quantity of times.

The application discloses a multi-information carrier perspective integrated model construction and detection method for sealed electronic component foreign matter detection, and belongs to the technical field of sealed electronic component foreign matter detection. In order to solve the problem that the existing sealed electronic component foreign matter detection method only extracts features from a single perspective and performs detection, the application trains and selects data-classifiers with the best classification performance from the data perspective of sealed electronic component foreign matter detection signals; from the image perspective, time-domain image-neural networks and acoustic spectrum image-neural networks with the best classification performance are trained and selected on time-domain picture sets and acoustic spectrum picture sets respectively; from the audio perspective, an audio-neural network with the best classification performance is trained and selected; the weights of each optimal classifier or optimal neural network are obtained based on fuzzy rule decision-level fusion technology, and then the classifiers and neural networks are integrated, and the integrated model is used for detection in actual detection.

This invention relates to the field of unconventional oil and gas development technology, and to a device and method for quantitatively evaluating the permeability enhancement caused by oxidative thermal stress in shale oil. The former includes a triaxial core holder housed within a constant-temperature chamber, and confining pressure injection system, oxidation medium injection system, detection medium injection system, gas collector, upstream storage tank, downstream storage tank, chromatograph, and acoustic emission sensor spaced apart outside the chamber. This application provides a dynamic multi-field coupled physical simulation system capable of simulating real formation conditions. By collecting pressure, product composition, acoustic signals, and nuclear magnetic resonance relaxation data, it utilizes a mathematical model for dynamic inversion of porosity and permeability using the pressure pulse attenuation method. It integrates acoustic emission RA-AF source identification and nuclear magnetic resonance fractal evaluation to analyze the multi-field coupling effects of thermal, flow, force, and chemical fields generated during air injection, and quantitatively evaluates the degree of improvement in shale permeability and pore structure caused by oxidative expansion.

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).

A kneading state detection device (50) comprises: an AE wave acquisition unit (71) (acquisition unit) that acquires, when a twin-screw extruder (30) (extruder) for kneading a raw material or kneading a raw material with an additive is in operation, an AE output (M(t)) of an AE sensor (20) installed in a housing (32) of the twin-screw extruder (30); and a kneading state determination unit (72) (determination unit) that determines the kneading state of the raw material on the basis of a comparison between a change in the intensity of the AE output (M(t)) of the AE sensor (20) acquired by the AE wave acquisition unit (71) and a threshold value (Th).

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.

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.

The application provides a spacecraft aluminum alloy metal-based structure damage real-time positioning method, which comprises the following steps: a sensor array deployed on a detected piece collects original signals of acoustic emission through multiple channels; frequency components of the original signals of the multiple channels are analyzed to determine a frequency component extraction interval; the original signals of acoustic emission are subjected to band-pass filtering and continuous wavelet transformation, and a time corresponding to a first peak value of a signal amplitude after the wavelet transformation is taken as a signal arrival time; a signal actual propagation distance of a simulated acoustic emission source at one end of the sensor array is obtained, and is subjected to linear fitting with the signal arrival time to obtain a signal propagation velocity; and finally, an acoustic emission source positioning equation is established, and a least square method is used to solve the acoustic emission source positioning equation to obtain an acoustic emission source positioning result. Therefore, the application can improve the accuracy of online positioning of a structure damage of a spacecraft.

The application relates to the technical field of acoustic signal processing and fault diagnosis, and discloses an engine alloy component wear testing method and system based on acoustic emission. The method comprises the following steps: acquiring continuous acoustic emission signals of an engine alloy component during operation and dividing the signals into multiple data frames, the signals being collected by an acoustic emission sensor; extracting a spectrum time domain feature set and an energy domain feature set based on a Teager-Kaiser energy operator for each data frame, and concatenating the two feature sets after Z-score standardization to form an initial combined feature; independently clustering in two feature spaces to generate a composite cluster label, and calculating the local covariance matrix of each composite cluster; constructing a sample relation graph with the data frames as nodes, for any two data frames, fusing the Euclidean distance between the initial combined features of the two data frames and the Riemann distance between the local covariance matrices corresponding to the composite cluster labels to which the two data frames belong through a kernel function to obtain an edge weight; and combining part of the labeled samples and determining the wear states of all the data frames through a label propagation algorithm. The application improves the accuracy of wear state recognition.

This invention provides a method and system for locating broken wires in prestressed steel strands, comprising: preprocessing the acquired acoustic emission signals of broken steel strands with noise reduction; searching for abrupt change locations in the preprocessed acoustic emission signals based on the Hinkley criterion; constructing an analysis window based on the abrupt change location and determining the location of the first arrival point based on the AIC criterion, the corresponding sampling time being the first wave arrival time; wherein, a boundary penalty term is introduced into the AIC criterion to suppress the interference of small sample data fluctuations at the boundary of the analysis window on the first wave arrival time identification result; and calculating the time difference between the arrival of the same source acoustic emission signals at different acoustic emission sensors based on the first wave arrival time to determine the specific location of the broken steel strand. This method can smooth out pulse-type interference noise in the environment, solve the problem that the first arrival picking of the AIC criterion is easily affected by the small sample effect, improve the picking accuracy of the first wave arrival time of the acoustic emission signal, and provide accurate data support for locating broken steel strands.

According to one embodiment, a structure evaluation system of an embodiment includes one or more sensors, a signal processing apparatus, and an evaluator. The plurality of sensors detect elastic waves generated from a structure. The signal processing apparatus calculates information on a frequency distribution by amplitude scale based on the plurality of elastic waves detected by each of the one or more sensors, and transmits the calculated information on the frequency distribution by amplitude scale in a wireless manner. The evaluator evaluates a state of deterioration of the structure based on the information on the frequency distribution by amplitude scale which is transmitted from the signal processing apparatus.

For each of the AE wave sources within the same propagation range, the location and waveform characteristics can be obtained without interference. [Solution] The AE sensor mounting structure of the present invention is located in a processing apparatus 1 in which a plurality of independent processing parts 2 are arranged adjacent to each other, and AE waves generated in each of these processing parts 2 propagate toward each other in the direction in which each processing part 2 is located. Each AE sensor S is placed on an individual member constituting each processing part 2 in the direction in which the processing force is applied to each processing location (each molding part P) of each processing part 2. [Effect] Even though multiple AE waves propagate intertwined within the AE propagation range from adjacent processing parts, it is possible to individually detect which processing part generated which AE wave and what its waveform is.

This invention relates to the field of geotechnical engineering mechanics testing and non-destructive testing technology. Existing technologies suffer from high computational delays due to passive monitoring modes, the inability to perform real-time physical intervention before macroscopic brittle fracture of soil and rock masses, and the inability to effectively preserve the critical failure state of rocks for microscopic damage constitutive relationship studies. This invention discloses a system and method for analyzing acoustic emission signals from freeze-thaw damage in soil and rock masses. A signal acquisition module is used to capture acoustic emission signals in real time; a feature analysis module is used to extract frequency band energy distribution characteristics and the instantaneous rate of change of the dominant frequency drift; a state determination module is used to determine the microcrack damage evolution stage and the precursors to critical failure based on the above features; and a linkage intervention module is used to generate physical intervention commands based on the determination results, enabling real-time adaptive adjustment or state latching of mechanical loads and ambient temperature. This allows for microsecond-level closed-loop linkage intervention, suppressing sudden shear surface slippage and instability, and effectively preserving the microstructure of rocks on the eve of critical failure.

The application discloses a kind of single cell sealant film durability evaluation method.Utilize acoustic emission technology energy analysis method monitoring to obtain the acoustic emission energy of the adhesive interface of plate, film electrode frame and sealant film respectively, and the peel strength retention rate of adhesive interface, then based on Newton interpolation method, the data of the corresponding relationship of peel strength retention rate and acoustic emission energy are polynomial fitting, and the mathematical model of the relationship of the acoustic emission energy of the adhesive interface of plate, film electrode frame and sealant film respectively and peel strength retention rate is established;With the mathematical model, the relationship of the adhesive peel strength data of the interface of the sealability and sealant film under a large number of tests is analyzed to obtain the acoustic emission signal energy safety value of the tested film adhesive interface.The application uses the information of adhesive interface acoustic emission signal to evaluate the sealing attenuation degree of sealant film, which can be effectively used to evaluate the durability of selected single cell sealant film, help designers to accurately analyze and optimize design, and improve product quality.

The present invention relates to a method (100) and a system (20) for monitoring a sintering process, and a method (200) for calibrating such a system (20). The following steps are performed: i) sensory detection (S1) of an impact of a sinter cake (18) on an impact surface (8a) and generation of corresponding sensor data (D); ii) determination (S2) of an impact characteristic (C) based on the generated sensor data (D); iii) determination (S3) of the quality of the sinter from the sinter cake (18) based on the determined impact characteristic (C); and iv) output (S4) the determined sinter quality via an interface (28).

The application discloses a CFRP machining tool wear monitoring method based on acoustic emission signals, and relates to the technical field of composite material machining monitoring. The method comprises the following steps: collecting original acoustic emission signals in a CFRP machining process and completing preliminary pretreatment; performing time-frequency domain joint transformation on the pretreated signals to generate acoustic emission joint feature maps containing time domain waveforms, frequency spectrum graphs and time-frequency spectrum graphs; extracting multi-dimensional feature parameters and establishing a nonlinear mapping relationship model with a tool wear state; calculating a quantitative wear index through multi-level feature fusion and weight self-adaptive adjustment in the model; comparing the index with a preset wear grade threshold to determine a wear grade; and outputting a wear state description and maintenance decision suggestion in combination with cutting process parameters. The method can completely retain wear-related signal features, dynamically adapt feature weights, accurately quantitatively evaluate CFRP machining tool wear, and improve the accuracy and monitoring reliability of wear grade determination.

A method for handling packages (2) is described and illustrated, each comprising a packaging material and a packaged item packed in the packaging material, in particular in a sorting station (1). In order to reduce the logistical effort resulting from damaged packaged items, it is provided that at least some of the packages (2) to be handled are subjected to at least one defined test movement in a test station (18) to induce acoustic and / or mechanical response signals depending on possible damage to the packaged item, that the response signals are detected by at least one acoustic and / or mechanical sensor (26, 27) assigned to the test station (18) and forwarded to an evaluation unit, that the evaluation unit (11) subjects the response signals to pattern recognition based on a multitude of previously empirically determined correlations between response signals and possible damage to the associated packaged items.that the evaluation unit (11) assigns at least one damage parameter characterizing possible damage to the packages (2) based on pattern recognition, and that the packages (2) are handled further in different ways depending on the respective damage parameter.

The present application provides a kind of coal mine spraying supporting material surrounding rock control effect laboratory comprehensive evaluation method.The method comprises: obtaining the acoustic emission data and image data synchronously collected when the rock sample is subjected to mechanical test;Wherein, the surface of the rock sample comprises a sprayed surface and an untreated control surface, and the sprayed surface and the control surface are isolated from each other on the surface of the rock sample;Based on the acoustic emission data, calculate the acoustic emission evaluation index reflecting the internal fracture process;And based on the image data, calculate the kinetic evaluation index reflecting the behavior of the block ejection;The acoustic emission evaluation index and the kinetic evaluation index are input into the trained comprehensive evaluation model, and the comprehensive evaluation grade of the spraying supporting material surrounding rock control effect is output.The present application can effectively avoid the interference of rock sample dispersion, and can scientifically reveal the real supporting effect of the spraying material in a relatively simple and repeatable way.

The application belongs to the technical field of test equipment, and particularly relates to a fatigue testing machine for high-cycle fatigue life prediction of metal materials and a testing method, which comprises a high-temperature simulation assembly, the high-temperature simulation assembly comprises high-temperature generating bodies and adjustable framework one for installing the high-temperature generating bodies, two high-temperature generating bodies are assembled to heat metal materials; a coaxial calibration assembly, the coaxial calibration assembly comprises calibration shells and adjustable framework two for installing the calibration shells, adjustable framework two is assembled with a screw pipe column and a guide rod, one end of each of two calibration shells is assembled with an adjustable measuring table, two measuring tables are distributed at two ends of the metal materials and are used for detecting coaxiality; a torsion imparting assembly, the torsion imparting assembly is arranged on the surface of a test base machine and cooperates with a clamp located below to impart torsional load to the metal materials. The application can solve the problems of data distortion caused by coaxiality deviation, functional limitation and insufficient scene adaptation.

The present application relates to the technical field of rock mass instability early warning, and discloses a rock mass instability early warning method and system combining multi-scale acoustic emission and deep learning, comprising: collecting rock mass acoustic emission waveform signals, carrying out denoising, filtering and normalization preprocessing on the signals, and carrying out event-level segmentation on the signals based on an acoustic emission event triggering mechanism; constructing time sequence characteristics reflecting the rock mass damage evolution process according to the occurrence time, energy change and event density of a plurality of continuous acoustic emission events; inputting the time sequence characteristics into a state recognition model to determine whether the rock mass is in a stable stage, a damage evolution stage or a instability critical stage, determine the rock mass risk level, and output corresponding early warning information; and updating the state recognition model when a new collected sample reaches a preset condition during monitoring. The present application reduces the dependence of artificial experience parameters on rock mass instability determination, and improves the consistency and reliability of early warning results.

A non-intrusive sensing system for monitoring an electrochemical device and a method of operating the non-intrusive sensing system can include multi-static ultrasonic sensors for detecting data indicative of a property of electrolytic media in an electrochemical device, an acoustic sensor for detecting and measuring a signature of electrodes associated with a health condition of the electrochemical device. A temperature sensor can be used to detect surface temperature data and correlate the surface temperature data with the signature identified and extracted by the acoustic sensor and the data indicative of the property of the electrolytic media. The data detected by the multi-static ultrasonic sensors, the signature detected by the acoustic sensor, and the surface temperature data identified can be subject to feature extraction and processing by a detection and prediction model to produce information pertaining to the safety, reliability and operating efficiency of the electrochemical device.

The present application relates to the field of machining quality detection and nondestructive testing equipment, in particular to a hexagonal outer sleeve machining quality detection device; it comprises a horizontal bed body, a head-tail end clamping assembly, a sliding gantry detection frame, a radial synchronous adjusting disc, a nondestructive testing probe and a self-adaptive floating support platform; the device fixes the pipe to be tested through the coaxial head-tail assembly, and the gantry detection frame continuously slides along the bed body guide rail across the pipe clamping area; the core is to configure the adjusting disc with Archimedes spiral groove in the inner ring of the detection frame, to realize the radial synchronous movement and specification adaptation of all probes through a single adjusting action and cylindrical pin; the present application is different from the existing mode of independent adjustment of each probe, and the synchronous linkage mechanism is used to avoid the problems of inconsistent reference and asynchronous cross-section data, and combined with the gantry continuous non-contact detection, the surface and internal machining state of the full length of the pipe can be completely obtained.

This wire break detection device (20) in at least one cable (10) of a civil engineering structure comprises: – a set of acoustic sensors (14a) intended to be fixed on a cable (10) or on anchor points (11, 12) of the cable (10) so as to receive an acoustic wave when a wire or strand of the cable (10) breaks; the acoustic sensors (14a) being capable of capturing this acoustic wave; and – an analysis unit (17) capable of receiving detection information of said acoustic wave by the acoustic sensors (14a) and of locating a wire break in the cable (10) according to the locations of the acoustic sensors (14a) which detected the acoustic wave.The acoustic sensors (14a) are grouped into clusters (16a), each cluster (16a) comprising a monitoring unit (15) equipped with: – a signal acquisition card for the signals from the acoustic sensors (14a); – a memory (18) for recording and time-stamping the signals from the acoustic sensors (14a) for a predetermined period before and after exceeding an acoustic vibration threshold; and – means for transmitting the recorded signals to the analysis unit (17); the analysis unit (17) being capable of receiving all the signals recorded by the different monitoring units (15) of the same cable (10) and of characterizing and locating a wire break based on the shape of the signals. Figure for the abbreviation: Fig 1.

This invention discloses an air-coupled ground-penetrating acoustic device, method, medium, and product for non-destructive testing of soil. It includes a broadband acoustic wave transmitting module for transmitting broadband acoustic waves to the area to be tested in an earth-rock dam; wherein the broadband acoustic wave transmitting module and the area to be tested are non-contact; an elastic wave receiving module for receiving multi-dimensional elastic wave raw signals from the earth-rock dam area based on the reflection of the broadband acoustic waves; wherein the multi-dimensional elastic wave raw signals include elastic wave raw signals corresponding to different depth layers; and a signal processing module for detecting the earth-rock dam area based on the multi-dimensional elastic wave raw signals, obtaining the compaction quality result of the earth-rock dam area, the target area with defects in the earth-rock dam area, and the corresponding defect type. This improves the accuracy of ground-penetrating testing.

The present application relates to the core physical simulation technology in the field of water resource deep geological storage and groundwater engineering, in particular to a water resource deep storage five-field coupling experiment simulation system and method, the system comprises an injection unit, a core clamping and multi-field coupling simulation unit, a water collection and control unit, an online detection unit and an integrated control and data fusion platform. The core holder integrates electrode array and acoustic wave transmission rod to realize acoustic-electric dual-mode monitoring; the liquid storage tank is provided with a stirring device at the bottom; the system is provided with an anaerobic sampling device and a flow calibration device at the end. The method comprises the following steps: synchronously applying and monitoring stress field, temperature field, chemical field, electric field and acoustic field; collecting acoustic emission and resistivity data for fusion imaging; collecting and detecting enzyme activity of effluent; establishing a multi-field coupling constitutive model and verifying it. The present application solves the problems of invisible, non-faithful sampling and non-quantitative mechanism in the traditional experiment process.

The present invention relates to a device for detecting events relating to an area comprising at least one wire, comprising: - an analyzer configured to analyze at least one signal representative of a vibratory wave emitted by at least one wire of said fenced area in order to determine, based on said captured signal representative of a vibratory wave, at least one event relating to said area.

The present application relates to a PCB drilling defect real-time identification method based on acoustic emission signals, aiming to realize early automatic warning of defect states such as micro-crack initiation and hole wall tearing. The scheme continuously collects and slides to intercept acoustic emission sensor signal fragments at high frequency, adopts multi-scale envelope extraction, topological dynamic similarity calculation and graph convolution aggregation to obtain local timing subgraphs describing the micro-damage evolution path of the drilling hole, and uses the generated feature vector to distinguish the evolution stages of the drilling process. Combined with defect state sequence and specific transition mode identification, the evolution trend from normal drilling to tearing acceleration can be accurately captured, and warning signals and feature heat maps can be output in time. This method improves the drilling defect monitoring sensitivity and the accuracy of evolution stage identification, and helps to ensure process quality and operation safety.

The application discloses a wind turbine blade root crack nondestructive testing device, relates to the technical field of nondestructive testing, and mainly aims to eliminate a detection blind area and avoid crack missed detection, so that the detection precision of the detection device is improved. The main technical scheme of the application is as follows: the detection device comprises a self-adaptive curved surface coupling assembly, which comprises a flexible air bag array and a plurality of ultrasonic probes, the flexible air bag array comprises a plurality of flexible air bags arranged in a ring array, and adjacent two flexible air bags are communicated through a micro flow channel; each ultrasonic probe is connected with each flexible air bag in a corresponding mode; an edge computing analysis unit is connected with the self-adaptive curved surface coupling assembly, a deep learning algorithm is built in the edge computing analysis unit; a mobile platform is connected with the self-adaptive curved surface coupling assembly and is used for driving the self-adaptive curved surface coupling assembly to move along a preset path; and a central processing unit is connected with the edge computing analysis unit and the mobile platform.

The application relates to the technical field of material damage detection, in particular to a high-temperature-resistant acoustic emission sensor and a thermal protection system applied by the same, which comprises a shell, an inner shell, an adapter module, an acoustic emission sensing module and a fixing member, the inner shell is internally provided with a mounting cavity, the adapter module and the acoustic emission sensing module are sequentially arranged in the mounting cavity and are tightly fixed through the fixing member; a partition plate is arranged between the shell and the inner shell, the partition plate divides the cavity between the shell and the inner shell into independent first and second sealed cavities; the first sealed cavity is filled with metal lithium, the second sealed cavity is filled with a second filler, and the phase transition temperature of the second filler is higher than the melting point of the metal lithium and lower than the maximum working temperature of the acoustic emission sensing module. The working temperature of the core sensing module can be always stably controlled within a safe range, and monitoring interruption or equipment damage caused by thermal saturation of a cooling medium is avoided.