289 results about "Non destructive" patented technology

The invention discloses an irregular particle three-dimensional shape measurement device and method based on speckle imaging, and belongs to the field of irregular particle three-dimensional shape measurement, and the irregular particle three-dimensional shape measurement device comprises an irregular particle shakeout device which is used for enabling irregular particles to fall in a sparse free falling body form, and is used for forming lamellar laser vertical to the falling direction of the irregular particles, the laser sheet generating module is used for forming complete speckle distribution on the surfaces of the irregular particles; the laser sheet generating module is used for generating a laser sheet, the multi-view image collecting module is used for collecting speckle distribution on the surfaces of irregular particles in a multi-view mode and forming speckle images, the synchronous control system is used for controlling the laser sheet generating module and the multi-view image collecting module and synchronizing the time of the laser sheet generating module and the multi-view image collecting module, and the three-dimensional reconstruction processing unit is used for obtaining three-dimensional shape data of the irregular particles according to the speckle images. According to the invention, the irregular particles can be rapidly, non-destructively and in-situ measured so as to meet the requirements of aeroengine erosion research on the precision, efficiency and integrity of irregular particle data.

The invention discloses a device and method for measuring the abrasion amount of a spray needle of an impulse turbine, and the device comprises a fixed platform which is used for placing the spray needle to be measured, and the spray needle to be measured is provided with a plurality of points to be measured; the inner and outer slide rails are arranged at the top of the fixed platform, are positioned on the outer side of the to-be-measured spray needle and axially coincide with the to-be-measured spray needle; the rotating platform is in sliding connection with the inner and outer sliding rails and can rotate around the to-be-measured spray needle; the telescopic platform is arranged at the top of the rotating platform, and the end, away from the rotating platform, of the telescopic platform is connected with an inclined platform; the distance measuring probe system is detachably connected to the inclined platform, and the measuring end of the distance measuring probe system faces the to-be-measured spray needle; the measuring device is combined with a multi-degree-of-freedom adjusting mechanism to realize accurate positioning and vertical alignment of the probe, then the probe system is used for reading the displacement and deducting the thickness of the sleeve to obtain the real abrasion depth, non-destructive high-precision abrasion amount detection of any point of a complex curved surface can be realized, and the measuring device is suitable for a hydropower station overhaul site.

The invention discloses a cable terminal crimping quality detection method, device and equipment and a storage medium, and relates to the technical field of cable testing, and the method comprises the steps: exciting a cable terminal through a current pin in the crimping process of the cable terminal, collecting the voltage of the cable terminal through a voltage pin, and obtaining a real-time voltage signal; and evaluating the crimping quality of the cable terminal based on the resistance change condition of the real-time resistance value in the crimping process. According to the invention, the detection behavior and the crimping process are carried out synchronously, and the real-time monitoring of the dynamic change of the resistance in the crimping process is realized, so that the method can be applied to the one-by-one full detection of a production line, and the measurement mode of separating current excitation and voltage collection is adopted. A system error caused by lead resistance introduced by a common lead of current excitation and voltage acquisition is avoided, and real-time performance, non-destructive performance and high precision are effectively considered when the crimping quality of the cable terminal is evaluated.

The invention belongs to the technical field of image processing, and particularly relates to an inonotus obliquus raw material granularity and uniformity detection method based on image analysis, and the method comprises the steps: obtaining an inonotus obliquus raw material gray scale image, and carrying out the preprocessing and binaryzation to obtain an adhesion body candidate object; screening particle core seed points through distance transformation in combination with an adaptive threshold strategy based on image statistical characteristics; calculating the attribution probability of a pixel to a seed point through a geodesic distance, achieving the soft segmentation of an adhesion region through a negative index model, and extracting a non-destructive segmentation line to obtain independent particles; and calculating morphological parameters of the particles, and obtaining a global uniformity index by combining the size dispersion and the shape regularity. According to the method, the accuracy of adhesion segmentation of irregular inonotus obliquus raw materials with complex textures is improved, and the robustness and accuracy of granularity detection are improved.

The invention provides a rock-soil moisture content and permeability testing system and method based on electromagnetic waves and infrared rays, and particularly relates to the technical field of geotechnical engineering testing and multi-source signal detection. According to the test system, construction of a rock-soil permeability experiment is realized through a rock-soil sample permeability test platform, the electromagnetic wave detection module realizes perception of a water-containing state in rock-soil, and the infrared thermal imaging module realizes perception of a wet boundary and seepage expansion characteristics of a rock-soil surface. The data acquisition and control module realizes integral control of a penetration experiment and acquisition of dielectric characteristics and infrared images, the signal fusion and inversion module realizes fusion of the dielectric characteristics and the infrared images and joint inversion of dynamic moisture content and penetration performance, and the result processing and visualization module realizes visual display of an inversion result; the method has the remarkable advantages of non-destructiveness, real-time performance, high spatial resolution, high adaptability, intelligent processing capacity and the like, and comprehensive characterization of the permeability behavior and the moisture content evolution process of the rock and soil sample is achieved.

The invention relates to the technical field of analysis and testing, in particular to a method and system for detecting the cold resistance degree of pennisetum purpureum based on spectral imaging, and the method comprises the steps: obtaining and correcting a spectral image of a pennisetum purpureum leaf; determining biochemical values of various induction components, calculating weights by using principal component analysis, and screening out the component with the maximum weight as a target prediction index; extracting the average spectrum data of the region of interest, and constructing a regression prediction model in combination with a target index measured value after preprocessing and characteristic wave band screening; and finally, the index content is inversed by using the model to represent the cold resistance degree. According to the method, key physiological indexes are scientifically screened through principal component analysis, a high-precision non-destructive detection model is established in combination with an optimal spectrum algorithm, and nondestructive, rapid and high-throughput evaluation of the cold resistance of the object grass is realized.

The invention provides a device for simulating the vertical migration rule of oil and gas field ground pollutants and a simulation method, and relates to the technical field, the device comprises a soil column leaching module, a spraying module and an underground water control module, the soil column leaching module and the underground water control module are both arranged in an underground foundation pit, and the soil column leaching module comprises a soil column experiment device; a sensor device is inserted into the soil column experimental device, the sensor device is electrically connected with the data acquisition device, the soil column experimental device is provided with a soil sampling window, the spraying module comprises a spraying pipe, one end of the spraying pipe is communicated with the reservoir, and the other end of the spraying pipe extends above the soil column experimental device. On the basis that only surface water is concerned to drive pollutant migration originally, the underground water control module and the water supply Markov bottle are additionally arranged, and fluctuation of the underground water level can be achieved; long-term and continuous in-situ monitoring of soil moisture in-situ data can be achieved in real time, non-destructive collection of samples can be achieved, and the research quality of the vertical migration rule of oil and gas field ground pollutants is improved.

This invention discloses a method for directional experimental verification and performance testing guided by computational simulation in materials chemistry, belonging to the field of materials performance testing technology. The method includes: acquiring the structural parameters of semiconductor devices and initial parameters of interface defects; calculating the characteristic time constant of carrier trapping by interface traps; simulating and generating a theoretical capacitance-voltage hysteresis loop; then performing bidirectional voltage scan tests within a sensitive scan rate range; finally, updating the inversion parameters and resimulating, iteratively adjusting until the characteristic deviation between the theoretical loop and the measured data meets the convergence condition, thus outputting an interface state density distribution map. This invention, through computational simulation-guided directional experiments, achieves accurate capture and non-destructive in-situ characterization of the dynamic response characteristics of interface states, effectively establishing the dynamic structure-property relationship between microscopic interface defects and macroscopic device performance, and significantly improving the accuracy and reliability of interface defect parameter inversion.

Disclosed are a method of predicting the number of thermal donors using the lifetime of a silicon wafer and a device for performing the method, the method including measuring the lifetime and the number of thermal donors of a sample wafer before and after donor elimination, comparing the same to obtain correlation data, and obtaining the lifetime of a wafer selected for inspection during wafer production processing before and after donor elimination, and predicting the number of thermal donors based on the correlation data. The correlation data can be constructed using a four-probe, and the degree of generation of thermal donors can be predicted in a non-destructive manner based on the correlation data, thereby reducing the reduction in production yield without damaging the wafer, and improving the reliability of the prediction of the number of thermal donors, while having high analysis capability for the front surface of the wafer.

The invention discloses an ultrasonic welding pseudo soldering detection system and method, and relates to the technical field of ultrasonic welding detection, the system comprises a hardware assembly and a visual software module, the hardware assembly comprises an upper camera, a lens, an annular light source, a PLC lower computer and the like, and the visual software module configures program instructions such as initialization, image acquisition, feature detection and the like; according to the detection method, images are collected through the upper camera, detection of the expanded material size, the grid edge width, the grid area and the peripheral overflow area is completed in sequence, and pseudo soldering is automatically judged in combination with a visual algorithm. Non-destructive online full detection is achieved, the detection precision reaches + / -0.01 mm, the single-station detection rhythm is smaller than or equal to 1 second, the problems that traditional detection products are large in waste and high in misjudgment risk are solved, the method is suitable for new energy power battery copper-aluminum bar metal ultrasonic welding products, and the detection efficiency and the quality control level are improved.

The invention discloses a method for rapidly generating non-uniform structure characteristics and mechanical properties of a weld zone, and belongs to the technical field of welding quality assessment, and the method comprises the following steps: S1, obtaining a characteristic temperature-time curve representing a weld thermal history through a dynamic temperature measurement method; s2, inputting the characteristic temperature-time curve and the chemical components of the base metal into a thermal-metallurgical coupling model, and predicting a non-uniform microstructure phase distribution diagram of the weld seam area; and S3, based on a semi-empirical mechanical model, mapping the non-uniform microstructure phase distribution diagram into a mechanical property distribution diagram of the welding seam area, and completing rapid identification of the microstructure characteristics and the mechanical properties. According to the rapid generation method for the non-uniform structure characteristics and the mechanical properties of the welding seam area, rapid and non-destructive identification of the non-uniform structure and the properties of the welding seam is achieved, the defects of lag and damage of a traditional method are overcome, and an effective means is provided for online evaluation of the welding quality and process optimization.

The invention discloses a non-destructive detection device and method for the moisture content of medical food, and the device comprises an outer box body, and the bottom of the outer box body is provided with a supporting assembly and a moving assembly; the sample water content detection mechanism comprises a drying box, a drying system and a condensing system; the weighing mechanism is mounted on the front side of the outer box body; the temperature and humidity monitoring module is mounted in the drying box; the image recognition modules are respectively mounted in the drying box and the weighing mechanism; the image recognition unit and the temperature and humidity monitoring module are connected with the terminal system. The medical food does not need to be smashed and sampled, the complete sample still keeps the original physical structure and nutritional ingredients after being dried at low temperature, the sample can be directly eaten by a patient after being detected, the problem of'sample waste 'of traditional destructive detection is thoroughly solved, the method is particularly suitable for small-batch customized medical food, and the clinical resource loss is reduced.

The method for non-destructively measuring the bonding strength of wafers comprises the following steps: Step 1: placing two wafers that have been bonded on a working platform, wherein the first wafer located at the bottom is fixed to the surface of the working platform; Step 2: applying pressure and tension to the second wafer located at the top at different regions thereof at the same time; Step 3: a crack is generated between the second wafer and the first wafer under the pressure and tension; Step 4: after the crack is formed, spraying water mist into the crack to allow the water mist to penetrate into the crack; Step 5: measuring the size of the crack and calculating the bonding strength of the wafer according to the following formula: γ=3Et3y2 / 32L4.

The invention discloses an in-situ quantification and multi-scale positioning characterization method for CO2 injection oil displacement recombination analysis, and relates to the technical field of petroleum and natural gas exploration and development, and the method comprises the following steps: initial state calibration and reference acquisition; gas injection displacement and dynamic damage introduction; carrying out in-situ thermal remelting treatment; and performing multi-dimensional quantitative evaluation. The method has the beneficial effects that an'in-situ thermal remelting 'strategy is introduced, and the absolute mass of the precipitate can be directly calculated by establishing the relationship between the remelting state total signal Shot and the precipitation state total signal Scold; a multi-scale characterization system of micro pores and macroscopic cores is established, and the specific pore diameter interval of blockage is accurately identified by using the pore diameter resolution capability of the T2 spectrum; and by adopting an in-situ MRI (Magnetic Resonance Imaging) + quantitative matrix correction technology, non-destructive and full-vision-field monitoring on precipitate distribution is realized, and the spatial distribution rule of the precipitates in the rock core is intuitively revealed.

The invention relates to the technical field of thermal interface material defect detection, in particular to a nondestructive detection method and system for thermal interface material application defects, and the system comprises an electric displacement table, heating laser, detection laser, a photoelectric detector, an acoustic optical modulator, a lock-in amplifier, an optical element and a data processing unit; the electric displacement table is used for fixing a sample and accurately controlling the position of the sample; the sample is of a silicon-thermal interface material-substrate sandwich structure; the upper-layer silicon wafer of the sample is plated with a metal film as a transduction layer; the heating laser is used for heating the sample; the acoustic optical modulator is used for modulating the heating laser, so that the heating laser heats the sample in a sine wave form; the detection laser is used for detecting sample temperature fluctuation; the photoelectric detector is used for collecting and detecting laser reflection signals; the lock-in amplifier is used for extracting and detecting laser phase and amplitude signals. According to the invention, non-destructive rapid detection of the defects of the thermal interface material in an application scene can be realized.

This invention discloses a method for assessing the load-bearing capacity of bridges under random traffic flow, belonging to the technical field of bridge load-bearing capacity assessment. This method improves the accuracy and efficiency of the assessment by extracting the bridge deflection influence line and calculating the compliance matrix through traffic flow statistics, Monte Carlo simulation, finite element analysis, and signal processing. Employing non-destructive testing technology, this method provides real-time health status of the bridge. By analyzing dynamic response data during heavy vehicle travel and combining it with the deflection influence line model, the method predicts the bridge's load-bearing limit and potential damage areas, providing a scientific basis for bridge safety assessment and maintenance. This invention is characterized by high efficiency, accuracy, and strong applicability, avoiding the problems of long testing times, traffic disruption, and large workload associated with traditional static load tests. It is suitable for the load-bearing capacity assessment and condition monitoring of small and medium-span bridges.

The invention relates to the technical field of food quality inspection, in particular to a multi-dimensional analysis food quality detection system, which comprises a data acquisition module for performing non-destructive physical detection on a target food sample, acquiring a multi-source sensing signal and generating a food original physical characteristic data stream; the feature extraction module is used for constructing a multi-dimensional physical feature vector matrix of food and carrying out dimension standardization and redundant feature elimination processing; the characteristic correlation analysis module is used for performing similarity comparison on the multi-dimensional physical characteristic vector matrix and a preset food component database, outputting a food component estimation result and establishing a mapping model between physical characteristics and chemical indexes; and the quality evaluation module is used for comparing a food component estimation result with a food standard parameter, generating a quality risk grade evaluation report and dynamically adjusting a sensing strategy. According to the invention, the safety, efficiency and broad-spectrum adaptive capacity of food detection are improved, and the method is especially suitable for online rapid screening scenes of complete commodities, raw materials or in-transit food.

The invention belongs to the technical field of reliability analysis of devices, and particularly relates to a quantitative analysis method for migration characteristics of an indium component in an epitaxial wafer. Comprising the following steps: providing epitaxial wafers with consistent initial characteristics, and carrying out uniform cleavage; taking one small block as a reference sample, and performing external disturbance treatment on other small blocks; the method comprises the following steps: respectively carrying out non-destructive structure characterization treatment on a reference sample and a sample subjected to external disturbance treatment, including high-resolution X-ray diffraction test, photoluminescence and cathode fluorescence combined test and time-resolved photoluminescence spectrum measurement; comprising high-resolution transmission electron microscope and EDS energy spectrum combined imaging and secondary ion mass spectrum; finally, FP lasers are prepared respectively, and electrical characterization processing is carried out. And quantitatively analyzing the influence of indium component migration on the electrical properties of the FP laser according to the result. The method has the advantages that the migration of indium atoms is analyzed according to a method for changing the microstructure in the quantum well and changing the dynamic behavior of a carrier.

The present disclosure relates to a method and a device for monitoring a semiconductor manufacturing process. The method comprises the following steps: providing a semiconductor structure comprising a material layer to be removed; obtaining a theoretical mass M T of the material layer to be removed; removing the material layer; obtaining an actual mass M R of the material layer that has been removed; and monitoring the residual condition of the material layer in the semiconductor structure according to the actual mass M R and the theoretical mass M T . The present disclosure uses a non-destructive method to monitor the residual condition of the material layer, ensuring the smooth progress of the semiconductor manufacturing process.

The application discloses a kind of materials electromagnetic performance test methods of measuring reflection and transmission, belong to microwave measurement technology, and measurement system is formed by transceiver antenna, vector network analyzer, computer;The method comprises the following steps: installing the measurement system of measuring reflection and transmission based on space transmission line method;Four measurements are carried out in reflection area, respectively empty load test, reflection test, test piece test, test piece plus backplate test;According to the four groups of reflection coefficients measured, the transmission line parameters related to the transmission field of the material to be measured are calculated, and the transmission field size and phase of the transmission area are calculated according to the transmission line parameters.The application provides a kind of high-precision, non-destructive, easy-to-operate reflection measurement method, which can predict the transmission field distribution of the material to be measured under a specific incoming wave through reflection measurement.

The invention relates to the technical field of food visual inspection, in particular to intelligent equipment for food detection and processing, which comprises a main conveyor and an auxiliary conveyor attached to the main conveyor, the visual screening camera is used for carrying out preliminary visual judgment on batch food; the base is fixedly connected to the auxiliary conveyor through a bracket; the two extrusion mechanisms are arranged on the base; the picking manipulator is fixedly connected to the auxiliary conveyor through a placement frame; an auxiliary mechanism; a control mechanism; and the online camera is used for continuously acquiring response images of the food in the whole process of applying, keeping and cancelling the extrusion excitation. By arranging the extrusion mechanism capable of being precisely regulated and controlled and the high-speed image acquisition system, deformation recovery dynamic and internal optical characteristics of food are recorded in real time while non-destructive physical excitation is applied, and the internal quality is comprehensively judged in combination with an algorithm model, so that high-precision and non-destructive detection of the internal state of the food on a production line is realized; and the defect detection rate is improved.

The application discloses a kind of high-temperature equipment remote monitoring method and platform based on Internet of Things, it is related to industrial Internet of Things and fault diagnosis technical field.The method is triggered by non-destructive micro-excitation when identifying that measuring point is in steady-state thermodynamics window through edge computing gateway, fitting thermal response time constant;The gradual drift bias of measuring point is extracted based on state space model;Then the above-mentioned extraction features, multi-source heterogeneous high-frequency acquisition data and three time stamp sequences are assembled into multidimensional evidence package, and are reported after being stored by hash encryption signature;After evidence package is signed by cloud platform, the integrated reliability score of measuring point is calculated, and strict according to hard safety threshold Uncontrollable strategy is executed Intelligent alarm grading disposal and maintenance work order scheduling.The application realizes the high-confidence online non-destructive diagnosis of sensor physical degradation without interfering with the underlying main control loop, effectively eliminates false alarm, optimizes the operation scheduling based on financial cost, and provides a completely tamper-proof digital audit chain for industrial monitoring, greatly improving the overall safety and economy of high-temperature equipment operation.

The invention relates to a method for estimating the ion doping concentration of a rare earth doped optical fiber, and belongs to the technical field of optical fiber amplifiers. An optical fiber to be measured is used for building an optical fiber amplifier, measurement is carried out under the condition of no signal light input, and signal light interference is avoided; reverse fitting is carried out through a simulation model, and the doping concentration is adjusted until the relative error lt is reached; 2%; taking the rare earth ion doping concentration determined in simulation as the doping concentration of the optical fiber to be measured; by measuring the change of the output spectrum of the optical fiber amplifier and comparing the change with a simulation result, the doping concentration is estimated, and the measurement period and the measurement cost are greatly reduced. The method realizes non-destructive and rapid estimation of the doping concentration, remarkably shortens the detection time through real-time measurement and simulation iteration of the spectral power ratio, is low in cost and short in test period, and can be applied to the field of optical fiber amplifier research and other application scenes.

The application discloses a kind of based on ultrasonic guided wave's gas riser corrosion detection method and system, comprising: with the standard test block of the material and structural parameter consistent with the gas riser to be detected, prefabricate multiple different corrosion degree corrosion defects on standard test block, based on prefabricated corrosion defects, establish the calibration relationship between ultrasonic guided wave characteristic parameter and corrosion degree;Ultrasonic guided wave is emitted to the gas riser to be detected, and the echo signal after propagation via gas riser is received;Signal processing is carried out to echo signal to suppress interference and enhance effective signal component, and the feature parameter related to corrosion degree is extracted;The feature parameter extracted is compared with calibration relationship, and the corrosion degree of the gas riser to be detected is determined.The application realizes the non-destructive, long-distance, high-precision and quantitative detection of indoor gas riser corrosion, improves detection efficiency and accuracy.

The invention discloses a cotton impurity detection device based on transmission imaging, which belongs to the technical field of cotton detection and comprises a complete machine support, a sample fixing unit, an optical imaging unit and a lifting driving mechanism. The whole machine support is composed of a base and a guide rail frame and provides a stable supporting platform. The sample fixing unit is located on the front side of the guide rail frame, and uniform clamping and light-transmitting fixing of a sample are achieved through cooperation of a glass substrate and a glass cover plate. The optical imaging unit comprises a lower light source assembly and an upper imaging assembly, the light source assembly emits uniform and parallel light beams to penetrate through a sample, and the imaging assembly collects a transmission image; the lifting driving mechanism is connected with the imaging assembly and drives the imaging assembly to vertically move along the guide rail frame so as to meet the imaging requirements of samples with different thicknesses. The device is reasonable in structure and convenient to operate, can realize efficient, accurate and non-destructive detection of cotton impurities, and has good applicability and popularization value.

The invention discloses a method, a device, equipment and a medium for detecting the trickling paint filling rate of a stator, and relates to the technical field of detection of the trickling paint filling rate of the stator, and the method comprises the steps: preparing a plurality of stator samples, and obtaining the trickling paint filling rate of each stator sample and the actually measured temperature difference between a winding and an iron core in each stator sample in a heat balance state; establishing a thermal simulation model of the stator based on the trickling paint filling rates of all the stator samples and the actually measured temperature differences corresponding to the trickling paint filling rates, obtaining simulation temperature differences under a plurality of different trickling paint filling rates, and constructing a first fitting function with the trickling paint filling rates as independent variables and the temperature differences as dependent variables; according to the first fitting function, obtaining simulation data pairs of a plurality of temperature differences and trickle varnish filling rates corresponding to the temperature differences, and constructing a second fitting function with the temperature differences as independent variables and the trickle varnish filling rates as dependent variables; and measuring the temperature difference between the to-be-detected stator inner winding and the iron core to obtain the trickling paint filling rate. The invention provides a non-destructive trickling paint filling rate detection method.

The invention relates to the technical field of position calibration, and provides a position calibration improved structure of an X fluorescence spectrometer, which comprises a spectrometer box, the bottom of the spectrometer box is fixedly connected with a base, the top of the spectrometer box is provided with a spectrum cavity, the outer surface of the spectrum cavity is provided with a visual sensor, and the visual sensor is connected with the base. Arc-shaped rails are symmetrically arranged on the two sides of the spectrometer box, the outer surfaces of the arc-shaped rails are slidably connected with isolation hoods, a sliding-out groove is formed in the bottom of the spectrum cavity, and a side groove is further formed in the inner wall of the spectrum cavity; the positioning unit is arranged at the bottom of the spectrum cavity and used for adjusting the position, the excitation unit is located above the positioning unit and emits X fluorescence, a material needing qualitative and quantitative treatment is put into the positioning unit, the positioning unit can drive the material to move to the position under the excitation unit, and the sample is bombarded by X rays to excite characteristic fluorescence; and non-destructive detection of qualitative and quantitative analysis of elements is realized.

A non-destructive method to predict the shelf life and maturity of perishable commodities using an intelligent vision system is presented here. The system includes a conventional camera and a vision processor (including shelf-life matrix, defect matrix and maturity matrix specific to each perishable commodity) which automatically determines ready for harvest condition, and the remaining shelf life of the perishable commodity.

This invention relates to the field of historical building structural assessment technology, and discloses a method and system for health assessment of historical building structures. The method includes: using non-destructive testing technology to comprehensively monitor the historical building structure, acquiring multi-source data, and preprocessing the multi-source data; based on the preprocessed multi-source data, analyzing the service performance degradation patterns of materials and nodes, constructing a structural state evolution model, and identifying detailed information about structural damage through a trained neural network model; based on on-site monitoring data, constructing a digital twin model of the historical building, simulating structural response characteristics under different scenarios, and comparing it with actual monitoring data to determine the building's health status; and calculating a comprehensive risk assessment index and classifying the risk based on detailed information about structural damage and the building's health status. This invention achieves a systematic, intelligent, and non-destructive health assessment of historical building structures.

An electronic circuit includes a target circuit, a CPU, a memory system, a test application system and a measurement system. The target circuit includes a plurality of debug access ports and N scan paths of components, each path passing through at least a part of the ports. The test application system is configured to generate a clock signal to implement an overclocking test sequence. The CPU is configured to apply at least one input vector to the paths, under a nominal and the overclocking test sequences delivering a nominal and a test output vectors. The measurement system is configured to perform a comparison operation between the test output vector and the nominal output vector stored in the memory system, and to deliver at least one comparative vector being a fault detecting signature of the electronic circuit.