An integrated circuit includes one or more central processing unit (CPU) cores configured to cause a first ultrasonic transducer to generate ultrasonic signals into a fluid moving in a pipe and the first or a second ultrasonic transducer to receive the ultrasonic signals from the fluid. The CPU core(s) also compute a first value indicative of at least one of a standard deviation and a time correlation based on the received ultrasonic signals. The CPU core(s) further determine a second value indicative of a volume of gas bubbles in the fluid using the computed first value indicative of the at least one of the standard deviation and time correlation.

A punching abnormality detection system, comprising: a punch, generating a vibration signal when working; an ultrasonic sensor, fixed on the punch and configured to convert the vibration signal into a voltage response signal; a data acquisition device, electrically connected to the ultrasonic sensor, configured to collect the voltage response signal in real time, generate a monitoring envelope curve, and analyze whether the voltage response curve deviates from the monitoring envelope curve; when the voltage response curve exceeds the monitoring envelope curve, the data acquisition device determine that the punch works abnormally, and an abnormal signal is output, thereby predicting production interruption caused by equipment abnormality during the production process and improving production quality.

Methods, systems, and computer-readable storage media for accurate time delay estimation using coherent averaging. A plurality of out-of-bracket acoustical impulses are generated in a pipe segment of a fluid distribution system. Signal data representing the acoustical impulses sensed at two locations along the pipe segment are recorded. Precise timings for the generation of the acoustical impulses are obtained, and the acoustical impulses in the signal data recorded from the first location are averaged based on the precise timings to produce a near-sensor average impulse. Similarly, the acoustical impulses in the signal data recorded from the second location are averaged based on the same precise timings to produce a far-sensor average impulse. A time delay between arrival of the plurality of out-of-bracket acoustical impulses at the first and second locations is estimated from the timing of the near-sensor average impulse and the far-sensor average impulse.

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.

The present invention relates to method for ultrasonic inspection of a test object, comprising the steps of defining a coordinate system of the test object; selecting, relative to the coordinate system of the test object, at least two positions of a test area; positioning a respective ultrasonic measuring device at the at least two positions within the test area; transmitting, an ultrasonic wave pattern into the test object; receiving an ultrasonic wave pattern signal; acquiring an ultrasonic reference wave pattern signal for a reference area of a reference object, and comparing the received ultrasonic wave pattern signal from the test object with the acquired ultrasonic reference wave pattern signal of the reference object for detecting a defect in the test object.

Embodiments of the invention include a system and method for detecting wood-boring species of insects in a structure (16), involving one or more primary (14) and reference (18) sensors and a signal conditioning and acquisition device (22) capable of being coupled to the sensors (14, 18). The system (10) also includes a processor (24) capable of being coupled to a non-transitory, computer-readable storage medium that includes program logic for execution by the processor (24). The program logic includes a logic module that receives signals originating from the sensors (14, 18) and discriminates between noise generated by any wood boring species in the structure and extraneous noise unrelated to the wood boring species of insects. The extraction of signal features based on pulse duration, signal spectra and signal envelope spectra can be used for insect pulse discrimination. A sound-suppressing sensor assembly (12) can be weighted to enhance the coupling of the primary sensor (14) with the structure (16) being tested.

A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Methods, systems, and computer-readable storage media for accurate time delay estimation using coherent averaging. A plurality of out-of-bracket acoustical impulses are generated in a pipe segment of a fluid distribution system. Signal data representing the acoustical impulses sensed at two locations along the pipe segment are recorded. Precise timings for the generation of the acoustical impulses are obtained, and the acoustical impulses in the signal data recorded from the first location are averaged based on the precise timings to produce a near-sensor average impulse. Similarly, the acoustical impulses in the signal data recorded from the second location are averaged based on the same precise timings to produce a far-sensor average impulse. A time delay between arrival of the plurality of out-of-bracket acoustical impulses at the first and second locations is estimated from the timing of the near-sensor average impulse and the far-sensor average impulse.

Embodiments provide systems and methods for utilizing acoustic sensors to detect defects via online or in situ monitoring of additive manufacturing (AM) processes. Sensors may capture acoustic waves associated with AM manufacturing operations. The acoustic emissions in combination with other sensing data, such as cameras or thermometers, may be used to characterize the state of the AM process, such as to detect a defect has occurred or confirm a defect has not occurred. When defects are detected, the AM process may be stopped to prevent further processing of a defective part. When defects are predicted as likely to occur, operational parameters of the AM device or process may be adjusted to mitigate the occurrence of a defect. The techniques disclosed herein enable detection of defects that occur underneath the surface of the part being manufactured, as well as correct issues with the AM device or process before a defect occurs.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system is capable of producing A-scans, B-scans, and C-scans of the test object and automatically highlighting potential foreign objects within the test object based on the scan data. The system includes a graphical user interface (GUI) capable of displaying a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. In one embodiment, the system includes an artificial intelligence module capable of highlighting foreign objects in order to provide size data, shape data, and/or depth data of the foreign object.