In an ultrasonic sensor that is attached to a body component, a negative electrode line connected to a negative terminal is isolated from a shielding portion. The shielding portion is connected to a ground potential point without being connected to the negative electrode line.

A measurement apparatus comprises a memory that stores instructions. The measurement apparatus comprises a processor that executes the instructions stored in the memory to: identify a propagation distance which is a length of a propagation path that a sound wave transmitted from a transmitting apparatus takes before reaching a receiving apparatus; determine, based on the identified propagation distance, a method to be used to identify a propagation time for the sound wave transmitted from the transmitting apparatus to reach the receiving apparatus from among a plurality of methods for identifying a propagation time of a sound wave; identify the propagation time for the sound wave transmitted from the transmitting apparatus to reach the receiving apparatus by the determined method; and measure an air characteristic of a location on the propagation path based on the identified propagation time and the identified propagation distance.

An acoustic inspection system can be used to generate a surface profile of a component under inspection, and then can be used to perform the inspection on the component. The acoustic inspection system can obtain acoustic imaging data, e.g., FMC data, of the component. Then, the acoustic inspection system can apply a previously trained machine learning model to an encoded acoustic image, such as a TFM image, to generate a representation of the profile of one or more surfaces of the component. In this manner, no additional equipment is needed, which is more convenient and efficient than implementations that utilize additional components that are external to the acoustic inspection system.

Using various techniques, a position of a probe assembly of a non-destructive inspection system, such as a phase array ultrasonic testing (PAUT) system, can be determined using the acoustic capability of the probe assembly and an inertial measurement unit (IMU) sensor, e.g., including a gyroscope and an accelerometer, without relying on a complex encoding mechanism. The IMU sensor can provide an estimate of a current location of the probe assembly, which can be confirmed by the probe assembly, using an acoustic signal. In this manner, the data acquired from the IMU sensor and the probe assembly can be used in a complementary manner.

A liquid immersion sensor for a mobile device with at least two acoustic transducers is described. The liquid immersion sensor may include a signal generator having a signal generator output configured to generate a signal for transmission via a first acoustic transducer, and a signal receiver having a signal receiver input configured to receive a delayed version of the generated signal via a second acoustic transducer. The signal receiver includes a signal receiver output. The liquid immersion sensor includes a controller having a first controller input for receiving a reference signal and a second controller input coupled to the signal receiver output. The controller determines a time lag value between the reference signal and the delayed signal and generates a control output signal dependent on the phase difference. The control output signal indicates if the mobile device is immersed in liquid.

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

An ultrasound transmitting and receiving device that can determine whether a contact state between a probe and a bolt is normal without relying on the skill of an operator is provided. The ultrasound transmitting and receiving device includes a probe control unit, an auxiliary storage device, and a contact state determination unit. The probe control unit causes a probe to transmit ultrasound to a bolt, and causes the probe to receive an echo of the transmitted ultrasound. The auxiliary storage device stores one or more pieces of comparison data to be compared with echo data indicating the echo received by the probe. The contact state determination unit compares the echo data with the comparison data, and determines a contact state between the probe and the bolt based on a comparison result.

Methods of detecting pipeline weakening are described herein. The methods include creating a pressure wave in a fluid flowing in a pipeline using an input transducer located at a first position along the pipeline; measuring the pressure wave using an output transducer positioned at a second position along the pipeline that is spaced from the first position, and generating an output signal based on the pressure wave; analyzing the output signal to determine a stiffness of a sidewall of the pipeline positioned between the input transducer and output transducer; and determining if the sidewall includes a defect based on the stiffness of the sidewall, including analyzing a frequency response of the output signal to detect the defect.

A predicting system and method for the uniaxial compressive strength of rock include a point loading strength test module, a longitudinal wave velocity test module, a rock rebound value test module and a strength prediction module, wherein the longitudinal wave velocity test module performs longitudinal wave velocity tests on the rock, and transfers the longitudinal wave velocity of the rock to the strength prediction module; the rock rebound test module performs rebound test on the rock, and transfers the rebound value of the rock to the strength prediction module; the point loading strength test module performs image acquisition on a fracture surface of the rock after being loaded and fractured by the point loading test, and calculates the area of the fracture surface; and the strength prediction module outputs a uniaxial compressive strength prediction result of the rock according to the received information and a preset prediction model.

Ultrasonic pulse velocity (UPV) is an extremely important parameter for the assessment of strength of concrete structures and study of elastic properties. ASTM international standard: (ASTM: C597-09) covers the determination of the propagation velocity of longitudinal stress wave pulses through concrete. The suggested method involves transmission of longitudinal ultrasound by transmitting transducer and receiving by a suitable similar transducer. The transit time-measurement and the associated triggering pulses must provide the overall time-measurement resolution of at least 1 μs. The present invention relates to the design of ultrasonic pulse velocity measuring device capable to generate ultrasound preferably in the solid materials including concrete or material supporting the propagation of ultrasound and precisely measure the ultrasonic propagation delay time commonly known as the transit time. The present invention relates to an improved design of an ultrasonic transit time measurement device having provision for automatic pulse threshold error correction. The invention also discloses the method to realize fast counting for the generation of high resolution with relatively slower microcontrollers. The accuracy in the transit time measurement is relatively improved by subtracting the threshold corrected zero offset (without material under test) from the threshold corrected transit time (with sample).