An ultrasonic patch transducer is configured to be secured to an outer surface of a structural asset, such as a pipe or pressure vessel, for condition monitoring. The ultrasonic patch transducer includes a housing defining a centerline between a first end of the housing and a second end of the housing, a piezoelectric element within the housing and positioned along the centerline, and at least two magnets within the housing and positioned along the centerline. The at least two magnets and the piezoelectric element are configured to be positioned along a tangent plane of the structural asset.

A structural vibration monitoring method based on computer vision and motion compensation provided in the present disclosure adopts a dual-camera system for self-motion compensation. The dual-camera system consists of a primary camera and a secondary camera rigidly connected to each other. The primary camera directly measures a structure displacement. This method inevitably includes an error generated due to motion of the primary camera. Meanwhile, the secondary camera measures displacements of translation and rotation, so as to estimate a measurement error caused by the motion of the primary camera. Then, with the displacement directly measured by the main camera minus the measurement error, a corrected structure displacement is obtained, thereby truthfully and accurately monitoring vibrations of a bridge structure.

A test arrangement for fatigue testing a wind turbine blade, including a floor-mounted test rig having a fixing device for fixing the wind turbine blade to the test rig and an excitation assembly for exciting the wind turbine blade at a test frequency, wherein the test rig includes a liquid tank having a chamber containing a predefined liquid, wherein the liquid in the liquid tank has a resonance frequency depending on the amount of liquid in the liquid tank and the chamber geometry is provided.

An abnormality estimation apparatus 10 includes: a detection unit 11 configured to detect a vibration response when a vehicle passes over an expansion and contraction apparatus 23, using vibration information indicating vibration that occurs in a bridge; a first index calculation unit 12 configured to calculate a first index for determining the presence or absence of an abnormality in the expansion and contraction apparatus 23, using the vibration response; and an estimation unit 13 configured to estimate the presence or absence of an abnormality in accordance with a change in the first index.

A displacement component detection apparatus 10 is provided with: a displacement distribution calculation unit 11 configured to calculate, from time-series images of a measurement target region of an object 30 output from an image capturing device 20 configured to capture the images of the measurement target region, a displacement distribution in a region that corresponds to the measurement target region in the images; a movement amount calculation unit 12 configured to calculate, based on the displacement distribution and image capturing information, a movement amount in the surface direction of the measurement target region and a movement amount in the normal direction of the measurement target region; and a surface displacement calculation unit 13 configured to calculate, from the displacement distribution, a surface displacement component in the measurement target region, using the movement amount in the surface direction of the measurement target region and the movement amount in the normal direction of the measurement target region.

An assembly for pressure testing of components, such as a valve of an HVAC system. The assembly includes a hand truck, a tank and a housing mounted on the base of the hand truck. A control unit is encased within the housing and coupled to a solenoid, wherein the solenoid is coupled to a valve. The valve connects a pressure regulator of the tank to the component. The control unit can receive instruction from an external device at a safe distance from the assembly, and upon receiving the instruction, the control unit can actuate the solenoid to open the valve.

Disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to predict failure of the high pressure system. Further disclosed herein are components, systems, and methods to monitor acoustic emissions of a high pressure system to identify characteristics of one or more defects as they form and grow within components of the high pressure system. Characteristics of the defects include type, size, growth, and location.

The invention relates to a bridge exciter for inducing vibrations in railway or roadway bridges, which comprises a servo-hydraulic actuator connected to a wagon designed to transport the same over tracks or a road. The actuator generates a force by moving a variable-weight reaction mass guided by linear bearings. It comprises hydraulic equipment that enables direct transmission of the vibrations to the infrastructure, independent of the rolling gear of the wagon or the rubber-tired vehicle, via false wheels. The movement of the actuator piston is controlled by a computer allowing the actuator to apply general forces on a bridge or roadway that do not exceed the maximum acceptable displacement of the piston: harmonic, impulsive, and transient forces. The equipment is provided with the necessary load control elements.

A rail break detection device to which an output waveform from a vibration sensor, which is a first vibration sensor, and an output waveform from a vibration sensor, which is a second vibration sensor, are input, the vibration sensors being mounted on different positions of rails, includes a waveform similarity determination unit to compare impulse waveforms separated from the output waveforms or compare continuous waveforms separated from the output waveforms, and determine similarity therebetween, and detects a break of a rail.

The present invention discloses a boom monitoring method and engineering machinery comprising a boom monitoring system. The method comprises obtaining a boom damage signal monitored in boom operation by a piezoelectric sensing network formed by a plurality of piezoelectric sensors arranged at different points on a boom, and determining a damage position of the boom and a corresponding first boom damage value such that when the first boom damage value reaches a preset starting value of an optical fiber sensing network formed by a plurality of optical fiber sensors arranged at the different monitoring points on the boom, optical wave values of the corresponding monitoring points are obtained and a boom crack signal is determined. A second boom damage value is calculated according to the boom crack signal, which comprises a crack change factor and a crack length. According to the present invention, the boom is monitored with improved efficiency.