The present disclosure relates to an information processing device, an information processing method, and a program for enabling more accurate prediction of a crack to be made. A model acquisition unit acquires a structure model M.sub.D from a model generation unit, an external device (not illustrated), or the like. Amplitude load energy A in an element E0 having no cracks is set on the basis of a relationship between an equivalent stress σ and an equivalent elastic strain ε experimentally obtained according to a material constituting the element E0. Since the equivalent elastic strain ε depends on a crack variable φ, the amplitude load energy A is expressed as a function of the crack variable φ. A crack prediction unit predicts a crack to be generated in a structure D by calculating a differential equation having a term proportional to the amplitude energy. The present disclosure can be applied to, for example, a crack prediction device that predicts a crack.

To implement robotic inspection of an in-service tank through the lower wall, a launch system is operatively coupled to the in-service tank carrying a multiphase fluid separated into a first fluid phase settled at the bottom of the in-service tank and a second fluid phase floating above the first fluid phase. The launch system includes multiple valves and is coupled to the bottom of the in-service tank. By operating the launch system, a robotic tank inspection device is introduced into the first fluid phase in the in-service tank while bypassing the second fluid phase. By operating the robotic tank inspection device, the bottom of the in-service tank is inspected for corrosion.

An estimation method includes: an acquisition step (S101) of acquiring deflection stress information that indicates a relationship between a deflection and a tensile stress of a specimen (200) of a reinforced concrete structure; and a derivation step (S102) of deriving an estimation formula for estimating a depth of a crack generated in the reinforced concrete structure when a deflection of the reinforced concrete structure is no less than a first deflection of the specimen at a start of a generation of the crack, and is no greater than a second deflection of the specimen at an end of the generation of the crack.

A computer is configured to enable a rapid, consistent, ply-by-ply, quantitative analytical assessment of various Finite Element Method (FEM) material models based on metrics defined for impact damage. Additionally, the computer is configured to provide a method for determining the accuracy of such FEM material model(s) by comparing the output of those models to non-destructive evaluation (NDE) test data.

According to one embodiment, a structure evaluation system of the embodiments includes a plurality of sensors, an arrival time determiner, a reliability calculator, and a map generator. The plurality of sensors detect elastic waves. The arrival time determiner determines arrival times of the elastic waves using elastic waves detected by the plurality of respective sensors. The reliability calculator calculates reliabilities related to measurement waveforms of the elastic waves on the basis of the arrival times. The map generator generates a first map on the basis of the calculated reliabilities or the reliabilities and a distance.

Apparatus and associated methods relate to monitoring health of a hydraulic system. A method includes monitoring pressure within the system and determining when a potential fatigue condition may occur based on counting the number of times pressure in the system has exceeded the at least one threshold. In some embodiments, strain cycle data is calculated based on a time sequence of signals generated by a hydraulic fitting, which is indicative of strain of the hydraulic fitting. An output signal indicative of the fatigue condition determined is generated. In some embodiments, the strain data includes a number of strain cycles that the time sequence of signals crosses from below a strain threshold to above the strain threshold.

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.

Tunnel defect detecting method and system using unmanned aerial vehicle (UAV) are provided, and the UAV is equipped with a light-emitting diode (LED) module, a camera, a laser radar, an ultrasonic distance meter and an inertial measurement unit (IMU). The method includes: collecting images in a tunnel based on the LED module and the camera to obtain a training image set; training by using the training image set to obtain a defect detecting model, collecting real-time tunnel images, detecting suspected defects to the real-time tunnel images by the defect detecting model, obtaining pose information of the UAV based on the camera, the laser radar, the ultrasonic distance meter and the IMU to control the UAV to hover. The method can realize accurate pose estimation and defect detection in the tunnel with no GPS signals and highly symmetrical inside.

The present invention relates to a wire rope diagnostic device that is capable of being fastened or unfastened by means of battery packs, and more specifically, to a wire rope diagnostic device for performing safety diagnosis of a wire rope used for a lifting device such as a crane, an elevator, a water gate, and the like in real time that is capable of being fixedly fastened by means of battery packs so that it can be simply installed and separated and allow the battery packs to be easily exchanged.

An apparatus for detecting a transient event in an operating machine, the apparatus comprising: a controller configured to control performance of the following steps: a measurement step comprising measuring a periodic signal from a machine; a processing step comprising synchronously processing the periodic signal to track the primary frequency; a filtering step comprising removing the primary periodic component and its harmonics from the periodic signal to yield a filtered dataset; an integration step comprising integrating the filtered dataset over the remaining frequencies to yield an integrated dataset representing the periodic energy at frequencies other than the primary frequency and its harmonics; an analysis step comprising identifying a short-term transient in the integrated dataset to identify a transient disruption in the operation of the machine.