An embodiment of the present disclosure may provide a method of detecting a fault location using an acoustic emission signal, including a measuring step of measuring, by a signal measuring unit including at least three sensors disposed in a diagnosed subject and isolated from one another, an acoustic emission signal generated from a faulty part of the diagnosed subject, a signal pre-processing step of filtering and amplifying, by the signal pre-processing unit, the acoustic emission signal, an extraction step of extracting, by a data operation unit, a measuring time, that is, the time when the acoustic emission signal reaches each of the at least three sensors of the signal measuring unit, and a first analysis step of analyzing, by a data analysis unit, a location and occurrence time of the faulty part by using the measuring time and location information of the signal measuring unit.

An ultrasonic quality control as disclosed can inspect a quality of a piece and classify the piece automatically. The piece can be scanned, and an image formed from the scanning. A reference piece is also scanned, and a reference image is formed. A negative image of the reference image is formed, and an indication image is created by utilizing the image and the negative image. The indication image is filtered by utilizing several image filters, each image filter filtering all data of the indication image except an image filter specific indication level data. Further several indication levels data are provided from the image filter specific indication level data, and the piece can be classified utilizing the several indication levels data.

Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.

A coupling shoe for attachment to a transducer module to couple ultrasound transmitted by the transducer module into a target object, the coupling shoe comprising a transducer engaging portion; a couplant chamber arranged to hold couplant; and a flexible membrane at least partially defining a probe surface for facing the target object through which couplant from the couplant chamber can seep for coupling ultrasound transmitted by the transducer module into the target object.

A method for detecting faults in plates includes the steps of: transmitting an acoustic signal towards the plate from a transmitting transducer, and receiving the acoustical signal from the plate in a receiving transducer. The receiving transducer is mounted at a distance from the transmitting transducer. The method includes the further steps of identifying zones of the plate wherein energy levels of the received signals are attenuated compared to other zones of the plate, and comparing the energy levels of the A.sub.2 and S.sub.3 guided Lamb modes in the received signals in the identified zones.

A non-destructive process of inspecting an object can include positioning a first and second ultrasonic element relative to the body of the object and offsetting the first and second ultrasonic elements in a direction orthogonal to a longitudinal axis of the body. A further process of inspecting an object can include creating a map of the body of the object including at least one anomaly and providing a quality value associated with the body based on evaluation of one or more criteria selected from the group consisting of the type, number, size, shape, position, orientation, edge sharpness, and any combination thereof of the at least one anomaly. An ultrasonic system can include a first and second ultrasonic element and a processing element. The process element can be configured to create a map of the body including at least one anomaly and provide a quality value associated with the body based on evaluation of one or more criteria selected from the group consisting of the type, number, size, shape, position, orientation, edge sharpness, and any combination thereof of the at least one anomaly.

A scanning device is provided. The scanning device includes a frame having a first portion and a second portion pivotably coupled to the first frame portion. The scanning device also includes a couplant source disposed in the first frame portion along with a couplant assembly. The couplant assembly includes a first couplant line disposed completely within the first frame portion and the second frame portion. The couplant assembly also includes a second couplant line extending from the first couplant line and out of the second frame portion at a first end of the second couplant line. The couplant assembly has a couplant line branch extending from the second couplant line where a sensor assembly of the ultrasound scanning device couples with the couplant line branch at an end opposite the second end of the second couplant line.

This disclosure generally relates to the field of structural health monitoring, and, more particularly, to a method and system for evaluating residual life of components made of composite materials. Existing methods require performing computational methods such as Finite Element Analysis (FEA) on the results of Non-Destructive Testing (NDT) every time a component is inspected. This makes the process expensive and time-consuming. Thus, embodiments of present disclosure provide a method wherein NDT is performed using different sensing methods such as ultrasound, ultrasound pulse echo, thermography to determine type of defect, location of defect and depth of defect in a test component which are then fed into a pre-trained machine learning model to predict residual life of the component. Testing time is greatly reduced since the pre-trained machine learning model is trained offline using results of the computational methods.

A method and system for identifying a cavity position of a structure based on global search includes: step 1: using a structure requiring cavity position identification as a target area, arranging acoustic emission sensors at key positions of the target area, and acquiring actual travel time of signals between the acoustic emission sensors on site; step 2: constructing cavity models for the target area; and for each cavity model, tracking shortest paths of signal propagation between the acoustic emission sensors when each cavity model exists in the target area, to obtain theoretical travel time of the signals; and step 3: respectively calculating deviations between the theoretical travel time and the actual travel time of the signals between the acoustic emission sensors corresponding to each cavity model, and using a position of a cavity model corresponding to a minimum deviation as an identified cavity position in the target area.

Controlled manufacturing system suitable for controlling a method for manufacturing, repairing or resurfacing a part by deposition of material under concentrated energy, said controlled manufacturing system comprising: means for obtaining a three-dimensional digital model of the part; means for generating a manufacturing file for the part, based on the three-dimensional digital model of said part, to define manufacturing parameters of an additive manufacturing machine, said manufacturing parameters being associated with manufacturing instructions; means for generating a control file for the part to define control parameters of a control effector, said control parameters being associated with control instructions; analysis means for carrying out an analysis of the manufacturing file and the control file in order to determine if the manufacturing parameters and the control parameters can coexist during the simultaneous application of the manufacturing parameters to the additive manufacturing machine and the control parameters to the control effector; a control module comprising at least one communication channel for receiving and sending the manufacturing instructions to a polyarticulated manufacturing system suitable for supporting the additive manufacturing machine, and at least one communication channel for receiving and sending the control instructions to a polyarticulated control system suited to supporting the control effector, to manage simultaneously the additive manufacturing machine and the control effector.