An ultrasonic probe, an ultrasonic imaging apparatus including the same, and a method for controlling the same are disclosed, which relate to a method for changing a pulse signal received by an ultrasonic probe by controlling a switching element mounted to an ultrasonic probe during pulse inversion harmonic imaging. The ultrasonic probe includes: a transducer array configured to transmit and receive an ultrasonic signal; a printed circuit board (PCB) electrically connected to the transducer array so as to transmit a pulse signal received from a main body of an ultrasonic imaging apparatus to the transducer array; and a switching circuit configured to change a waveform of the pulse signal received by the PCB and transmitted to the transducer array.

An ultrasonic probe, an ultrasonic imaging apparatus including the same, and a method for controlling the same are disclosed, which relate to a method for changing a pulse signal received by an ultrasonic probe by controlling a switching element mounted to an ultrasonic probe during pulse inversion harmonic imaging. The ultrasonic probe includes: a transducer array configured to transmit and receive an ultrasonic signal; a printed circuit board (PCB) electrically connected to the transducer array so as to transmit a pulse signal received from a main body of an ultrasonic imaging apparatus to the transducer array; and a switching circuit configured to change a waveform of the pulse signal received by the PCB and transmitted to the transducer array.

To provide an anomalous sound detection training technique by which a feature amount extraction function for detecting anomalous sound can be generated irrespective of whether training data for anomalous signals is available or not. An anomalous sound detection training apparatus includes: a first function updating unit 3 that updates a feature amount extraction function and an feature amount inverse transformation function, which are input, based on an optimization index of a variational autoencoder; an acoustic feature extraction unit 4 that extracts an acoustic feature of normal sound based on training data for normal sound; a normal sound model updating unit 5 that updates a normal sound model by using the acoustic feature that is extracted; a threshold updating unit 6 that obtains a threshold .sub. corresponding to a false positive rate , which has a predetermined value, by using the training data for normal sound and the feature amount extraction function that is input; and a second function updating unit 8 that updates the feature amount extraction function that is updated, based on a Neyman-Pearson-type optimization index defined by the threshold .sub. that is obtained, and repeatedly performs processing of each of the above-mentioned units.

To provide an anomalous sound detection training technique by which a feature amount extraction function for detecting anomalous sound can be generated irrespective of whether training data for anomalous signals is available or not. An anomalous sound detection training apparatus includes: a first function updating unit 3 that updates a feature amount extraction function and an feature amount inverse transformation function, which are input, based on an optimization index of a variational autoencoder; an acoustic feature extraction unit 4 that extracts an acoustic feature of normal sound based on training data for normal sound; a normal sound model updating unit 5 that updates a normal sound model by using the acoustic feature that is extracted; a threshold updating unit 6 that obtains a threshold .sub. corresponding to a false positive rate , which has a predetermined value, by using the training data for normal sound and the feature amount extraction function that is input; and a second function updating unit 8 that updates the feature amount extraction function that is updated, based on a Neyman-Pearson-type optimization index defined by the threshold .sub. that is obtained, and repeatedly performs processing of each of the above-mentioned units.

A defect imaging method for a lining anti-corrosion pipeline is provided, including following steps: loading an imaging excitation signal to the lining anti-corrosion pipeline under detection; acquiring an imaging excitation reflection signal and an imaging excitation transmission signal; obtaining bending mode guided waves of the imaging excitation reflection signal and the imaging excitation transmission signal respectively, and performing time reversal processing on the bending mode guided waves to obtain time-reversed signals; performing excitation reversal on the time-reversed signals to obtain excitation reversal data; performing temporal and spatial focusing processing on the excitation reversal data to obtain a vibration cloud diagram; and converting the vibration cloud diagram into a three-dimensional color point cloud diagram to image a defect of the lining anti-corrosion pipeline. By performing imaging processing, the defect position and condition can be obtained visually and clearly, thereby greatly facilitating subsequent maintenance work.

The invention relates to a method of monitoring the interior of a pipeline (1) positioned in contact with a soil (S) below a water mass (E), comprising implementation of the following steps by data processing means (11): (a) for at least one position along said pipeline (1), obtaining acoustic data descriptive of at least one cross-section of said pipeline (1) at said position, acquired by a mobile acoustic acquisition device (20) in said water mass (E), (b) estimating by quantitative migration from said acoustic data an estimated relative impedance perturbation profile in at least said cross-section of said pipeline (1).

A method for nondestructive inspection by ultrasound of a bonded assembly is provided. The method comprises two steps, consisting of measuring a thickness of an adhesive joint of the bonded assembly by an ultrasound transducer arranged on the bonded assembly in a determined position, and measuring the degree of adhesion of parts of the bonded assembly by the same ultrasound transducer maintained in the determined position, the degree of adhesion being measured by ZGV Lamb waves.

A method for nondestructive inspection by ultrasound of a bonded assembly is provided. The method comprises two steps, consisting of measuring a thickness of an adhesive joint of the bonded assembly by an ultrasound transducer arranged on the bonded assembly in a determined position, and measuring the degree of adhesion of parts of the bonded assembly by the same ultrasound transducer maintained in the determined position, the degree of adhesion being measured by ZGV Lamb waves.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.