This application relates to a method of analyzing dynamic characteristics of a carbon composite material. This application also relates to a method of calculating sensitivity indices for structural stiffness and a viscous damping coefficient of a carbon composite material and a method of analyzing dynamic characteristics of a carbon composite material by using the same. Respective sensitivity indices for structural stiffness and a viscous damping coefficient according to a direction (angle) of carbon fiber for a carbon composite material are calculated. A change in the dynamic characteristics of the carbon composite material is evaluated through a proportional relationship between the sensitivity indices, thereby conducting a more accurate and efficient analysis.

A system for non-destructive testing (NDT) a surface of a vehicle includes a track that is securable to the surface, and a sensor that is movable along the track to perform a scan of a region of the surface. The system also includes a computer to generate a baseline image of the surface from the scan, and define a map of the surface from a computer model of the surface. The baseline image includes a matrix of baseline data points, and the map includes a matrix of locations on the surface. The computer correlates the baseline image and the map to produce a mapped baseline image including the matrix of baseline data points registered to the locations on the surface. The mapped baseline image is formatted for NDT of the surface, and may thereby serve as an analytical digital twin for the NDT.

A method of measuring a flow rate of a fluid flowing in a space between an outer conduit and an inner element in the outer conduit is provided. Ultrasonic waves are transmitted and received through the space between multiple pairs of ultrasonic transducers along multiple propagation paths, respectively. A mean line velocity of the fluid is calculated based on data from each pair of ultrasonic transducers. As such, multiple mean line velocities across the space are obtained. The flow rate of the fluid is calculated based on the multiple mean line velocities.

Provided is a member state evaluation method that makes more highly accurate instantaneous understanding of various states of a member to be tested possible without reliance on the shape of the member, the testing environment, or the skill level of the tester. The member state evaluation method is provided with: a state evaluation database construction step for constructing a state evaluation database by determining a plurality of vibration points and measurement points for each analysis model, carrying out vibration at the vibration points, measuring the acoustic signal generated by the vibration at the measurement points, carrying out frequency analysis, and thereby obtaining, as state evaluation data, frequency distribution data acquired for each vibration point and each measurement point that includes the natural frequencies for each of a plurality of modes; an actual measurement state evaluation data acquisition step for acquiring, as actual measurement state evaluation data, frequency distribution data for the member to be tested that includes the natural frequencies of each of the plurality of modes; and a state evaluation step for evaluating the member to be tested by comparing the acquired actual measurement state evaluation data and all the state evaluation data of the state evaluation database.

A method for monitoring a service state of a switch rail based on feature fusion includes: mounting an ultrasonic guided wave monitoring apparatus on the switch rail to perform online defect identification and simulation of the switch rail, and establishing a baseline signal library, where the ultrasonic guided wave monitoring apparatus generates a guided wave signal propagating along the switch rail and receives an echo signal of the guided wave signal; performing feature extraction; extracting a healthy feature vector, and nondimensionalizing; selecting a defect-sensitive feature, and acquiring, by a BPSO algorithm, a best feature subset; training an LS-SVM through the best feature subset by a cross-validation method to acquire an automatic online defect identification model of the switch rail based on the LS-SVM; and monitoring the switch rail by the automatic online defect identification model of the switch rail based on the LS-SVM.

Material selection systems and methods for constructing a musical instrument and/or where a selected material is a wood material are disclosed. One example material selection system includes a rating module and a rating database. The rating module includes an excitation device configured to act upon material samples; a vibration receiver in cooperation with the excitation device; a rating computer coupled to the vibration receiver, the rating computer configured to execute stored instructions for determining a set of material sample ratings based on FFT analysis of data collected by the vibration receiver; and an output device operatively coupled to the rating computer, the output device configured to output the determined set of material sample ratings to a rating database. Each set of material sample ratings is associated with a material sample. Another example material selection system may further include a selection module with a selection computer coupled to the rating database.

A respiratory flow therapy apparatus including a sensor module can measure a flow rate of gases or gases concentration provided to a patient. The sensor module can be located after a blower and/or mixer. The sensor module can include at least an ultrasonic transmitter, a receiver, a temperature sensor, a pressure sensor, a humidity sensor and/or a flow rate sensor. The receivers can be immersed in the gases flow path. The receivers can cancel delays in the transmitters and improve accuracy of measurements of characteristics of the gases flow. The receivers can allow for detection of a fault condition in a blower motor of the apparatus.

A motor noise detecting device according to an embodiment of the present disclosure includes a signal sensing part for sensing an acoustic signal generated from an object to be tested, a data acquisition part for receiving the acoustic signal sensed by the signal sensing part and converting it into an acoustic digital signal, and a data analysis part for receiving and analyzing the acoustic digital signal to perform a detection on whether the object to be tested is abnormal. In addition, the signal sensing part includes an AE (Acoustic Emission) sensor for sensing an elastic wave included in the acoustic signal, and the data analysis part generates result data of analyzing the acoustic digital signal, analyzes the generated result data through a pre-learned model, and detects whether the object to be tested is abnormal.

A method for determining the directional frequency response of an arrangement of transducer elements. The method comprises providing a simulation of locations of the transducer elements, in the spatial domain; providing a beamforming direction and a frequency range; converting the simulation of locations from the spatial domain into corresponding frequency response values in a spatial frequency domain, such that, for each frequency of a plurality of frequencies in the frequency range, a spatial frequency contour is defined, each of the spatial frequency contours intersecting at the origin; determining the frequency response by applying a transformation to the frequency response values for the provided beamforming direction and frequency range, translating the spatial frequency domain into a modified frequency domain, wherein the contours avoid intersecting; and outputting the frequency response. There is further provided a data processing device adapted to perform the method, a computer program, and a computer-readable medium.

A self-contained, remotely operated, mobile measurement system for stand-off inspection of large target objects located at sites distant from an operations center of a distributed inspection system. In accordance with one embodiment, the system comprises a mobile platform with on-board instrumentation capable of making dimensional measurements in the local coordinate system of the target object. The system comprises multiple hardware and software components networked to a control interface that enables the operator at the operations center to teleoperate the equipment, including driving the mobile platform to a region of interest, calibrating the on-board local positioning system, acquiring measurement and image data, and communicating with on-site personnel if needed.