A crawler maps a structure by moving at least longitudinally or circumferentially on the structure. A probe scans the structure to generate scan data corresponding to the structure. A distance measuring unit measures a distance of the probe from a landmark extending circumferentially around the structure. An orientation sensor determines an orientation of the crawler on the structure. A processor generates a map of the scan data of the structure indexed by the distance and orientation.

A method and apparatus for inspecting a fusion joint is provided. The apparatus includes a processor, an ultrasound (“US”) probe in communication with the processor, and a database comprising classification rules. The processor is configured to generate an initial set of US scanning positions about the fusion joint based on information of at least one of the US probe and the fusion joint; measure, via the US probe, a US pulse-echo spectrum from at least two of the initial US scanning positions; compare each measured US pulse-echo spectrum with one or more known US pulse-echo spectrums; classify each measured US pulse-echo spectrum according to the classification rules; and evaluate an aggregate of measured US pulse-echo spectrums to determine if the fusion joint is defective.

A method for inspecting a weld of plastic pipes by means of a data processing device, comprising: capturing and storing documents; monitoring and recording the installation and the implementation of the weld of the joint; producing a welding report, or adopting a welding report from the welding machine; testing the weld ultrasonically, wherein the test detects and stores the defects that are in the weld; wherein software is used to capture and store the documents, the welding report and the defects, more specifically the data on said defects, wherein an algorithm of the software is used to evaluate the stored documents, reports, defects and data on said defects, and to classify the welded joint as compliant or non-compliant with the requirements.

The disclosed technology can include a system for monitoring and detecting a fault in a fluid storage tank. A sensor can be located in, on, or proximate the fluid storage tank and can be configured to detect waveforms produced by the fluid storage tank in response to strain. The sensor can convert such waveforms into electrical signals and transmit such electrical signals in the form of vibration data to a controller. The controller can compare the vibration data to stored data, and based on such comparison, determine if a fault is present in the fluid storage tank.

A detection method of nonlinear ultrasonic guided wave with carrier modulation is described. The high and low frequency components are determined according to the frequency response characteristics of the detection object, and the high-frequency components are processed by delay and combined with the low-frequency components to form a carrier modulation signal. The single excitation and single receiving mode are adopted for signal acquisition. The carrier modulation signal with high frequency and low frequency components is excited by a single transducer. The nonlinear modulation effect is produced by the interaction between the carrier signal and the damage, and the signals are collected by the receiving transducer through transmission method. According to the arrival time of high frequency components and the time of end reflection echo, the signal is intercepted and analyzed. After filtering and normalization processing, the received signal is decomposed by empirical mode decomposition (EMD). According to the decomposed IMF spectrum information, IMF components including fundamental frequency and nonlinear frequency components are used for signal reconstruction. The difference frequency components generated by the modulation of high-frequency and low-frequency, namely nonlinear components, are extracted, and the non-linear coefficient is calculated. The damage degree of materials is evaluated based on the nonlinear coefficient of nondamaged state.

The present application provides a pipeline structural fault diagnosis apparatus and a diagnosis method. The pipeline structural fault diagnosis apparatus includes a signal generating apparatus configured to generate an acoustic wave signal by knocking a pipeline; a signal collecting apparatus configured to collect the acoustic wave signal; a signal storage apparatus configured to store the acoustic wave signal for a signal processing and analyzing apparatus to analyze and determine a fault type, a fault degree, and a fault position. The acoustic wave signal after being generated by the signal generating apparatus is collected by the signal collecting apparatus and stored in the signal storage apparatus. The signal processing and analyzing apparatus extracts the acoustic wave signal in the signal storage apparatus, and performs processing and analysis to determine the fault type, the fault degree, and the fault position of the pipeline structure.

Non-destructive test systems and associated methods. A non-destructive test system includes an infrared thermography assembly and an ultrasonic test assembly for testing a test piece. The infrared thermography assembly may include one or more thermography sensor modules and a thermography test controller. The ultrasonic test assembly may include one or more ultrasonic sensor subassemblies with respective excitation modules and respective detector modules and an ultrasonic test controller. Each excitation module may be configured to produce a respective ultrasonic beam within the test piece, and each detector module may be configured to detect a respective reflected vibration of the test piece. In some examples, a method of performing a non-destructive test on a test piece includes testing an infrared test region of the test piece with an infrared thermography assembly and testing an ultrasonic test region of the test piece with an ultrasonic test assembly.

In a method and apparatus for automated inspection, an image is acquired of an object under inspection and a difference image is generated showing the difference between the acquired image and a reference image of a defect-free object of the same type. Characteristics of the difference image, or detected isolated regions of the difference image, are passed to an automated defect classifier to classify defects in the object under inspection. The characteristics of the difference image may be pixels of the difference image or features determined therefrom. The features may be extracted using a neural network, for example. The automated defect classifier is trained using difference images and may be further trained, in operation, based on operator classifications and using simulated images of defects identified by an operator.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

Described herein is a system for determining structural characteristics of an object, the system including a first laser, a second laser, one or more processors, and a computer readable medium storing instructions that, when executed by the one or more processors, cause the system to perform functions. The functions include illuminating, by the first laser, a surface region of an object with an incident light pulse, thereby causing the object to exhibit vibrations; illuminating, by the second laser, the surface region with an incident light beam, thereby generating responsive light that is indicative of the vibrations; detecting the responsive light and determining a difference between a characteristic of the responsive light and a reference characteristic that corresponds to the surface region; determining a position of the surface region within a three-dimensional space; and displaying the surface region such that the difference is indicated at the position of the surface region.