The application relates to an apparatus (100) for fatigue testing a wind turbine blade, and to a system and method using such an apparatus (100). The apparatus (100) comprises a base (110) for supporting a first end (12) of the wind turbine blade (10), and an edgewise actuator assembly (120). The edgewise actuator assembly (120) includes a ground-supported edgewise actuator (130) and a flexible cable assembly (140) for connecting the edgewise actuator (130) to the blade (10). The edgewise actuator (130) and the flexible cable assembly (140) are adapted to cyclically deflect the blade (10) relative to the base in the edgewise direction by repeatedly pulling the blade (10) in a substantially horizontal direction.

A measurement device is configured to set an observation surface on a surface of a structure as a measurement surface to measure a change of the measurement surface as a measurement surface change vector. An estimator is configured to generate an estimation model based on a shape model obtained by modeling a shape of the structure. The estimator is configured to acquire a coefficient vector by solving a norm minimization problem by setting, as parameters, a measurement surface change vector and a part of the estimation model. The coefficient vector forms a sparse solution. The estimator is configured to estimate a change of a crack occurrence surface by determining a candidate surface, which is inside the structure and assumed to have a crack, as the crack occurrence surface, based on the coefficient vector and another part of the estimation model.

A bladder assembly including a body, a bladder received in the body, the bladder defining an internal volume and including an annular sealing bead, the sealing bead defining an opening into the internal volume, and a sealing member including a shaft having a first end and a second end, and an engagement portion connected proximate the second end, the sealing member being partially received within the internal volume and being moveable between at least a first position, wherein the engagement portion is spaced from the sealing bead, and a second position, wherein the sealing bead is compressed between the engagement portion and the body.

A method for predicting the electrical functionality of a semiconductor package, the method includes performing a first stiffness test for a first semiconductor package, receiving failure data for the first semiconductor package, the failure data includes results of an electrical test performed after the first semiconductor package is assembled on a printed circuit board, generating a database comprising results of the first stiffness test as a function of the failure data for the first semiconductor package, performing a second stiffness test for a second semiconductor package, identifying a unique result from the results of the first stiffness test in the database, the unique result aligns with a result of the second stiffness test, and predicting a failure data for the second semiconductor package based on the failure data for the first semiconductor package which corresponds to the unique result of the first stiffness test identified in the database.

A detection system 1 contains a sensing device 10 including a vibration unit 11 for applying vibration to the inspection target 100, the vibration unit 11 attached to the inspection target 100, a driving circuit 12 for supplying an electric signal to the vibration unit 11 for driving the vibration unit 11 and a sensor 13 for detecting vibration of the inspection target 100 caused by the vibration applied from the vibration unit 11; and a detection processing device 20 for receiving vibration information related to the vibration of the inspection target 100 detected by the sensor 13 from the sensing device 10 and detecting the state change of the inspection target 100 based on the vibration information. The vibration unit 11 includes a coil 112, a spring 113, and a magnet 114b.

This invention utilizes two sensing technologies in combination with or in isolation of an automated inspection vehicle to conduct inspections of internal rail flaws in steel railroad track. A vehicle equipped with X-radiation sensing is used as a secondary method to assess the deviations in magnetic fields that are sensed by a primary sensor consisting of a single or multiple magnetometers. The magnetometers sense changes in magnetic field that are correlated to the flaws inside the steel rail. The combination of technologies improves the probability to detect railroad flaws and offers the ability to accurately track and monitor flaws.

The invention relates to a rotatable inspection device (10) for inspection of the integrity of an axisymmetric portion (210) of parts (200), for example a threaded tube (200). The rotatable inspection device (10) includes a measuring unit (20) configured to be rotated about the symmetry axis of the axisymmetric portion (210). The measuring unit (20) comprises: i) a radially movable measuring structure (22) comprising a defect detection sensor (30), wherein said measuring structure (22) is configured to urge the defect detection sensor (30) against said portion (210) to be inspected; ii) an electronic device (43) for processing and transmitting the signal measured by the defect detection sensor (30) along said portion (210), and iii) a measuring unit support (50) supporting the radially movable measuring structure (22). The electronic device (43) is configured to wirelessly transmit the processed signal to a remote monitoring unit (300).

Provided are a pipeline spanning or settlement bending detection device and method, relating to the field of pipeline curvature measurement technology, to solve the problem that the curvature of a pipeline made of a composite material cannot be detected using the related art. The device includes a watertight spherical shell and multiple detectors. For each detector, the detector is configured to acquire a non-magnetic signal fed back by the inner wall of a to-be-detected pipeline to determine the distance between the detector and the inner wall of the pipeline. The method includes that a microcontroller acquires a two-axis accelerometer signal and calculates pipeline curvature when non-magnetic signals reach the extremum.

A displacement measurement device includes: a first machine learning model trained to generate, from one image which contains a subject and has noise, at least one image which contains the subject and which has noise or has had noise removed; a first obtainer that obtains a first image which contains the subject and has noise and a second image which contains the subject and has noise; a first generator that, using the first machine learning model, generates M template images containing the subject from the first image and generates M target images containing the subject from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

A force generator applying a force load against a facemask. A first load cell carrying a first portion of the facemask at an attachment point of the facemask where the facemask is attachable to a helmet. A second load cell carrying a second portion of the facemask at another attachment point of the facemask where the facemask is attachable to a helmet. A first attachment platform carrying the first load cell, wherein the first attachment platform is laterally movable in at least two degrees of freedom. A second attachment platform carrying the second load cell, wherein the second attachment platform is laterally movable in at least two degrees of freedom. The force generator directs the contact plate against the facemask to cause a horizontal deformation of the facemask and a lateral movement of the attachment platforms to allow for repeatable force load testing on a single facemask.