1744 results about "Damage detection" patented technology

Spatially Integrated Small-Format Aerial Photography (SFAP is one aspect of the present invention. It is a low-cost solution for bridge surface imaging and is proposed as a remote bridge inspection technique to supplement current bridge visual inspection. Providing top-down views, the airplanes flying at about 1000 ft, can allow visualization of sub-inch (large) cracks and joint openings on bridge decks or highway pavements. On board Global Positioning System is used to help geo-reference images collected and allow automated damage detection. A deck condition rating technique based on large crack detection is used to quantify the condition of the existing bridge decks.

The present subject matter is direct to apparatus and methodologies for performing omnidirectional (360°) damage detection in a thin-wall structure using a planar embedded piezoelectric wafer active sensors (PWAS) phased array. Virtual beamforming for the array is implemented through either a transmission process by selective energizing selected sensors or by a signal post-processing procedure. Sensors may be embedded in a thin-walled structure as planar or circular arrays to achieve omnidirectional damage detection.

Techniques are disclosed for rental vehicle damage detection and automatic rental vehicle management. In one embodiment, a rental vehicle management application receives video and / or images of a rental vehicle's exterior and dashboard and processes the video and / or images to determine damage to the vehicle as well as the vehicle's mileage and fuel level. A machine learning model may be trained using image sets, extracted from larger images of vehicles, that depict distinct types of damage to vehicles, as well as image sets depicting undamaged vehicles, and the management application may apply such a machine learning model to identify and classify vehicle damage. The management application further determines sizes of vehicle damage by converting the damage sizes in pixels to real-world units, and the management application then generates a report and receipt indicating the damage to the vehicle if any, mileage, fuel level, and associated costs.

Spatially Integrated Small-Format Aerial Photography (SFAP) is one aspect of the present invention. It is a low-cost solution for bridge surface imaging and is proposed as a remote bridge inspection technique to supplement current bridge visual inspection. Providing top-down views, the airplanes flying at about 1000 feet can allow visualization of sub-inch (large) cracks and joint openings on bridge decks or highway pavements. On board Global Positioning System (GPS) is used to help geo-reference images collected and facilitate damage detection. Image analysis is performed to identify structural defects such as cracking. A deck condition rating technique based on large crack detection is used to quantify the condition of the existing bridge decks.

A device for use in detecting structural damage includes at least one piezoelectric wafer that has a sensor, and an actuator in-plane with the sensor. At least one of the sensor and the actuator at least partially surrounds the other of the sensor and the actuator such that the piezoelectric wafer provides radial detection of structural occurrences in a material.

The invention provides a detection method of thick beam structure damage based on guide wave, comprising the following steps: arrangement of transducer, arrangement of excitation signal, generation, spread and collection of the excitation signal, and signal processing and analysis, and damage identification. Owing to the reasonable arrangement of an exciter and a sensor and appropriate arrangement of the excitation signal, damage waveform signal of a thick beam object in a project can be collected. Besides, information indicating position and degree of damage can be obtained by waveform extraction and analysis, thus realizing sound monitoring and the damage detection of thick beam.

The invention relates to a dynamic magnetic field self-sharpening finishing device for a flexible magnetorheological finishing pad and a finishing method for the dynamic magnetic field self-sharpening finishing device. The dynamic magnetic field self-sharpening finishing device comprises a finishing disk revolution mechanism and a multi-magnetic-pole synchronous rotation driving mechanism, wherein the finishing disk revolution mechanism comprises a driving shaft motor, a drive shaft, an adapting disk, an eccentric shaft fixing disk, a cup-like finishing disk and a driving shaft transmission mechanism; the multi-magnetic-pole synchronous rotation driving mechanism comprises an eccentric spindle, synchronous rotation driving plates, flexible eccentric rotating shafts, eccentric sleeves, magnetic poles, the eccentric shaft fixing disk, a spindle motor and the like. According to the finishing device and the finishing method disclosed by the invention, the conditions that a circulating device is adopted for updating magnetorheological fluid and the magnetorheological fluid is changed in the processing process are avoided, so that the space is saved, and the whole process from rough finishing to fine finishing can be realized by one-time processing; obtained workpieces are good in surface consistency, high in processing efficiency, free from of surface and subsurface damage and low in cost, so the finishing device and the finishing method are suitable for high-efficiency ultra-smooth uniform finishing processing of planes of large-diameter optical elements; meanwhile, the finishing device and the finishing method disclosed by the invention are also suitable for experimental researches such as a material removing mechanism and subsurface damage detection of optical planar materials.

The invention discloses a bridge detection robot based on a four-axle aircraft, comprising the four-axle aircraft. The main machine body of the four-axle aircraft is axially provided with a trough installation channel; the installation channel is internally provided with a self-adaptation matching regulation device; the main machine body is also provided with an onboard flight control unit and an installation platform, wherein the installation platform is connected with the main machine body through the self-adaptation matching regulation device and is provided with a shooting unit; a master control system consists of the onboard flight control unit and a ground control unit; and an image data processing system consists of the shooting unit and a ground image processing unit. The invention realizes the automatic sensing and line walking of a bridge detection position through a wireless shooting controller and high-accuracy distancer by utilizing the four-axle aircraft with superhigh stability in the sky as a basic equipment carrier and can also move high-accuracy photographing equipment to a bridge position to be detected, thereby realizing the automatic bridge damage detection and identification under no-man control.

A modular sensor for damage detection with an optical fiber (FBG sensor) to detect a damage of a composite material, having a high level of visibility and manageability, and its manufacturing method is described. A structural composite material embedded with this modular sensor for damage detection is also described.

Spatially Integrated Small-Format Aerial Photography (SFAP) is one aspect of the present invention. It is a low-cost solution for bridge surface imaging and is proposed as a remote bridge inspection technique to supplement current bridge visual inspection. Providing top-down views, the airplanes flying at about 1000 feet can allow visualization of sub-inch (large) cracks and joint openings on bridge decks or highway pavements. On board Global Positioning System (GPS) is used to help geo-reference images collected and allow automated damage detection. A deck condition rating technique based on large crack detection is used to quantify the condition of the existing bridge decks.

Systems, methods, apparatus and software can be implemented to detect possible instances of memory corruption. By analyzing memory blocks stored in a memory, provided in a snapshot file, or provided in a core dump, implicit and / or explicit contingency chains can be obtained. Analysis of these contingency chains identifies potential memory corruption sites, and subsequent verification provides greater confidence in the identification.