According to one embodiment, a data processing device receives welding device data from a welding device. The welding device makes a joined body by joining a plurality of parts. The welding device data includes a welding device ID for identifying the welding device. The data processing device receives inspection data. The inspection data includes position data and angle data. The position data is of a position of a weld portion of the joined body. The position data are calculated from a result of a probe of the joined body. The probe uses an ultrasonic wave. The angle data is of an angle of the weld portion. The data processing device associates the inspection data with the welding device data.

According to one embodiment, a data processing device receives welding device data from a welding device. The welding device makes a joined body by joining a plurality of parts. The welding device data includes a welding device ID for identifying the welding device. The data processing device receives inspection data. The inspection data includes position data and angle data. The position data is of a position of a weld portion of the joined body. The position data are calculated from a result of a probe of the joined body. The probe uses an ultrasonic wave. The angle data is of an angle of the weld portion. The data processing device associates the inspection data with the welding device data.

In some implementations, a system may receive a cable map for a deployed cable. The system may receive vibration data indicating a vibration associated with a first section of the cable. The system may determine a characteristic associated with the first section of the cable based on the vibration. The system may determine a location associated with the characteristic based on the cable map. The system may determine that the first section of the cable is associated with the location based on the location being associated with the characteristic. The system may associate the location and a length of a second section of the cable extending from an initial location to the location. The system may receive an input identifying the length of the second section of the cable and may output the location based on associating the location and the length of the second section of the cable.

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.

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers.

A method for checking a component to be produced in an additive manner, having the steps of mechanically exciting at least one additively constructed layer of the component during the additive production of the component, measuring a mechanical response signal of the component, and displaying a warning and/or interrupting the additive production of the component if the mechanical response signal lies outside of a specified tolerance range. A device for the additive production of a component, includes a device for mechanically exciting the at least one additively constructed layer of the component, a measuring unit for measuring the mechanical response signal of the component, and a control unit. The control unit is designed to display the warning and/or interrupt the additive production if the mechanical response signal lies outside of a specified tolerance range.

According to an embodiment, an inspection device includes a transmitter, a receiver, and a processor. The transmitter transmits a first ultrasonic wave including burst waves of a first period. The first ultrasonic wave is incident on an inspection object between the transmitter and the receiver. The first ultrasonic wave passed through the inspection object is incident on the receiver. The receiver outputs a signal corresponding to the first ultrasonic wave. The processor obtains the signal and performs a first operation. The first operation includes deriving first and second signal values from the signal, and inspecting the inspection object based on at least one of the first signal values and at least one of the second signal values. The first signal values correspond to maximum values of the signal in each of first periods The second signal values correspond to maximum values of the signal in each of second periods.

An acoustic vector sensor and a method of detecting an acoustic vector are described. An object suspended in the fluid medium by a non-contact support structure. The object and the non-contact support structure are configured so that the object moves in response to any disturbance of the fluid by an acoustic wave; The non-contact support structure of the object comprises a plurality of solenoids that each produce a magnetic field in a fluid medium. A measurement measures movement of the object. A processing device determines an acoustic intensity vector of the acoustic wave based on the measured movement of the object.

An acoustic vector sensor and a method of detecting an acoustic vector are described. An object suspended in the fluid medium by a non-contact support structure. The object and the non-contact support structure are configured so that the object moves in response to any disturbance of the fluid by an acoustic wave; The non-contact support structure of the object comprises a plurality of solenoids that each produce a magnetic field in a fluid medium. A measurement measures movement of the object. A processing device determines an acoustic intensity vector of the acoustic wave based on the measured movement of the object.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.