A detection device (100) for detecting damage to a conduit (300) buried in ground includes: a sensor (10) for detecting breaking sound at the time of conduit damage; a processing unit (20) for determining a relation of magnitude between a characteristic value of the breaking sound and a threshold; and an indication unit (30) for indicating that the conduit is damaged when the relation of magnitude satisfies a predetermined condition.

A method, system, device, and medium for online stress monitoring without baseline data based on single-mode multi-frequency signal fusion are provided. The method includes: establishing a dispersion curve according to geometric dimensions and material parameters of a measured object; then solving an approximate linear relationship between propagation time of S0 modes with different frequencies and stress at a fixed propagation distance by using a relationship between stress and group velocity, the obtained linear relationship being an acousto-elastic equation required for final measurement; then performing Hilbert transformation on an obtained signal, extracting a signal envelope, and determining arrival time of two excitation frequency signals by means of a peak extraction algorithm and a time domain width of an excitation signal; and calculating a propagation time ratio and substituting the propagation time ratio into a pre-calibrated acousto-elastic equation to solve a stress value of an object to be measured. The disclosure is advantageous in that the multi-frequency data is fused by using dispersion characteristics of a single-mode Lamb wave and an acousto-elastic effect, thereby achieving online stress monitoring without baseline data.

Object analysis comprising measuring a frequency-dependent natural oscillation behavior of the object by dynamically-mechanically exciting the object in a defined frequency range (f) by means of generating a body oscillation by applying a test signal, and detecting a body oscillation generated in the object on account of the exciting. Moreover, the method involves simulating a frequency-dependent natural oscillation behavior for the object by generating a virtual digital representation of the object, and carrying out a finite element analysis on the basis of the virtual representation comprising dynamically exciting, in a simulated manner, the virtual representation into a virtual frequency range for generating a virtual body oscillation, calculating the virtual body oscillation generated in the object on account of the exciting in a simulated manner, and deriving an object state on the basis of a comparison of the measured natural oscillation behavior and the simulated frequency-dependent natural oscillation behavior.

Automated real-time characterization of resistance spot welds using ultrasound-based nondestructive evaluation requires a computational process and system to accurately and rapidly interpret the ultrasonic data in real time. Such a process can be automatically learned using artificial intelligence, from a dataset of exemplary ultrasonic data from nondestructive evaluation of resistance spot welds for which a corresponding ideal evaluation of each weld is provided. The process can then be implemented into a system to automatically interpret data from non-destructive evaluation in real-time. The ideal evaluation of each weld requires identification a large set of features that are observable in the ultrasonic signature and comprehensively characterize the corresponding weld process.

Automated real-time characterization of resistance spot welds using ultrasound-based nondestructive evaluation requires a computational process and system to accurately and rapidly interpret the ultrasonic data in real time. Such a process can be automatically learned using artificial intelligence, from a dataset of exemplary ultrasonic data from nondestructive evaluation of resistance spot welds for which a corresponding ideal evaluation of each weld is provided. The process can then be implemented into a system to automatically interpret data from non-destructive evaluation in real-time. The ideal evaluation of each weld requires identification a large set of features that are observable in the ultrasonic signature and comprehensively characterize the corresponding weld process.

Systems for ultrasonic measurements of an inspection surface is described. An inspection robot with a payload moves in a direction of travel across an inspection surface. The payload has two sensor holders, the first sensor holder to hold a first UT array at a first orientation and the second to hold a second UT array at a second orientation A sensor holder linking component holds the two UT phased arrays in a parallel configuration along their long edges. An arm of the payload may be pivotably connected to both the sensor linking component at one end and a lift connection element on the other end. The lift component has a lift motor to raise the lift connection element. A rastering device moves the payload in a direction of inspection which is distinct from both the direction of travel and the parallel configuration of the two phased UT arrays.

Systems for ultrasonic measurements of an inspection surface is described. An inspection robot with a payload moves in a direction of travel across an inspection surface. The payload has two sensor holders, the first sensor holder to hold a first UT array at a first orientation and the second to hold a second UT array at a second orientation A sensor holder linking component holds the two UT phased arrays in a parallel configuration along their long edges. An arm of the payload may be pivotably connected to both the sensor linking component at one end and a lift connection element on the other end. The lift component has a lift motor to raise the lift connection element. A rastering device moves the payload in a direction of inspection which is distinct from both the direction of travel and the parallel configuration of the two phased UT arrays.

A method of manufacturing is provided. The method can include determining a cross-sectional shape of an object to be inspected using a sensor configured with a sensor coil. The method can also include providing a substrate having a profile matching the cross-sectional shape of the object. The method can further include applying a dielectric material to the substrate in a patter matching a shape of the sensor coil. The method can also include forming a first layer of a first material on the dielectric material by sputtering particles of the first material on the dielectric material in the pattern and forming additional layers of the first material atop the first layer by iteratively depositing the additional layers in the pattern via an additive manufacturing technique. A sensor including a sensor coil formed via the method is also provided.

Techniques for performing an acoustic rheology measurement of a sample are provided. A first set of acoustic pulses is provided by a focused ultrasound transducer to induce surface oscillations of the sample. A second set of acoustic pulses is provided by a detection transducer to interrogate the sample and detect the echo pulses reflected by the sample surface as a function of time. The detection ultrasound transducer system converts the echo signals to an electrical signal associated with the detected echo pulses, and a processor determines a dynamic displacement of the interface of the sample as a function of time. The processor also determines the spectrum, resonant surface oscillation frequency, and damping coefficient. Viscoelastic properties of the material are determined from these measurements, with applications for the characterization of the blood clotting process, the identification of a blood clot, gelation process, tumor, or fibrosis based on the viscoelastic properties.

Techniques for performing an acoustic rheology measurement of a sample are provided. A first set of acoustic pulses is provided by a focused ultrasound transducer to induce surface oscillations of the sample. A second set of acoustic pulses is provided by a detection transducer to interrogate the sample and detect the echo pulses reflected by the sample surface as a function of time. The detection ultrasound transducer system converts the echo signals to an electrical signal associated with the detected echo pulses, and a processor determines a dynamic displacement of the interface of the sample as a function of time. The processor also determines the spectrum, resonant surface oscillation frequency, and damping coefficient. Viscoelastic properties of the material are determined from these measurements, with applications for the characterization of the blood clotting process, the identification of a blood clot, gelation process, tumor, or fibrosis based on the viscoelastic properties.