1747 results about "Damage detection" patented technology

The execution of a software application is diverted to detect software object corruption in the software application. Software objects used by the software application are identified and their pointers are inspected. One or more tests are applied to pointers pointing to the virtual method tables of the software objects, addresses (or pointers) in the virtual method tables, and memory attributes or content of the memory buffer identified by the addresses for inconsistencies that indicate corruption. A determination of whether the software objects are corrupted is made based on the outcome of the tests. If software object corruption is detected, proper corrective actions are applied to prevent malicious exploitation of the corruption.

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.

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.

Methods, apparatuses, and systems for damage detection and for other detection of the state of a structure or material. Such damage detection and detection of the state of a structure may be performed and operated without the use of baseline data. The present invention may operate using time reversal acoustics or polarization characteristics of piezoelectric devices. The present invention may include a piezoelectric device including two or more piezoelectric transducers.

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.

The invention discloses a vibration and audio signal-based high-speed train track damage detecting method, belongs to the field of signal detection and processing as well as safety monitoring, and solves the problems of low detection speed and single detection method in the conventional train track damage detection. The method comprises the following steps: 1, acquiring vibration signals and audio signals of a train track through sensors arranged at train track detection points; 2, respectively extracting information characteristics included in the vibration signals and the audio signals; 3, respectively obtaining a nonlinear correlation curve of the vibration signals and a nonlinear correlation curve of the audio signals by using a nonlinear correlation analysis method; 4, respectively analyzing the information of the two nonlinear correlation curves obtained in the step 3 so as to respectively obtain minimum values of the two nonlinear correlation curves; and 5, carrying out data fusion on the two minimum values and corresponding information thereof so as to obtain a damage coefficient, and looking up a table to obtain the damage degree according to the coefficient. The method is suitable for detecting the damage on railway train tracks and monitoring the safety operation of trains.

A fixing device includes a fixing member, an induction heating unit, a pressing member, and a damage detection unit. The fixing member heats a toner image on a recording medium to fix the toner image onto the recording medium. The induction heating unit heats the fixing member by electromagnetic induction. The pressing member presses the fixing member to form a fixing nip portion. The fixing member includes a heat insulating elastic layer and a sleeve layer. The sleeve layer is located outside the heat insulating elastic layer and is provided with an outer conductive layer that generates heat from a magnetic flux generated by the induction heating unit. The damage detection unit is connected to the outer, conductive layer.

The invention discloses a semi-rigid base pavement damage detection and polymer grouting fast maintenance technology, which utilizes a falling weight deflectometer (FWD) and a ground penetrating radar (GPR) to detect and evaluate the performance of the pavement, identify the pavement damage and realize the lossless and fast detection of the semi-rigid base pavement damage. A grouting hole is perforated on the section that needs damage treatment and polymeric materials are injected into the hole to repair the pavement. The maintenance technology has the advantages of speedy construction, good durability, strong pertinence and excellent waterproof performance of the injected polymeric materials, which not only saves a large amount of funds and construction periods and avoids the adverse social effects caused by long affected traffic, but also is beneficial to environmental protection and resources-saving . The semi-rigid base pavement damage detection and polymer grouting fast maintenance technology of the invention integrates damage lossless detection technology such as the FWD and the GPR, etc. with the polymer grouting fast maintenance technology, thus providing a whole set of advanced, efficient, economical and practical technology for detecting and maintaining the semi-rigid base pavement damage.

An information fusion technology based train wheel set tread damage online detection and recognition method comprises the steps of 1 image acquisition, 2 image pre-processing, 3 preliminary damage detection, 4 accurate damage positioning and 5 damage judgment, wherein the step 4 is that an infrared image processing result and a gray image processing result are subjected to data fusion, a tread image is marked and positioned, damaged texture and area are obtained through morphological processing, morphological processing is conducted on tread cracks to obtain the length of the cracks, and the step 5 is that features of a tread damage region are extracted and selected, a BP neural network is designed and trained, the defects of the BP neural network are classified, and reference is provided for operation situation analysis of wheels, locomotives and lines according to train wheel set tread damage information recorded by a terminal processing unit. The information fusion technology based train wheel set tread damage online detection and recognition method has the advantages of being comprehensive in detection, high in automatic degree, high in detection speed and detection accuracy and the like.

The invention discloses a health monitoring system and method for a wind generator system structure. The system provided by the invention comprises a data storage analytical device and a data collecting device, wherein the data storage analytical device and the data collecting device are communicated through a wireless signal, the data storage analytical device comprises a mechanical model analytical module, a data receiving module, a structure safety judging module, a vascular grade judging module and a vascular execution module; the data collecting device comprises a sensor group and a data transmitting module, and the sensor group is connected with the data transmission module through a wire cable; and the system judges whether the structure is damaged or not through a certain detection means and a method, the locating and evaluation of the damage are carried out to avoid the damage, thereby realizing the damage detection of a wind power generation infrastructure and health monitoring of a discriminating structure. Meanwhile, the invention also aims to provide a health monitoring method for the wind generator system structure.

Disclosed is a twin-robot testing apparatus for non-destructive testing. The apparatus comprises two robots (1) for detecting a workpiece (3) from front and back sides thereof; a water circulating unit, comprising a pressure pump, two water ejection coupling probes (2) and water pipes, for providing a coupled water column; an ultrasonic transmitting / receiving device, comprising two ultrasonic transducers, a pulse transmitting / receiving card, and a high-speed data acquisition card, wherein the two ultrasonic transducers are respectively attached at the end-effector of the two robots (1), for transmitting ultrasound and receiving ultrasound respectively, the ultrasonic pulse transmitting / receiving card and the high-speed data acquisition card are mounted on the robot controller mechanism for transmitting and receiving, and acquiring pulse signals, the two robots perform a synchronous transmission testing, with ultrasound transmitted by one robot being received by the other robot, and the ultrasonic transducers are adjusted in position and gesture with the change in the surface shape of the workpiece (3) such that the incidence direction of ultrasonic beam is always in coincidence with the normal direction of the curved surface. The apparatus is used for automatic non-destructive testing of a curved-surface workpiece made of a composite material, and can improve the accuracy, sensitivity and efficiency of the testing.

A document handling apparatus having a document transport path for moving a document therethrough. A single detector proximate the transport detects a misfeed indication in the transport path. A processing system processes the indication and issues a termination signal if a misfeed is determined.

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 present invention provides methods of assessing damage on a joint that includes energizing the joint, detecting the vibration of the joint using one or more signal generating sensors, processing the signal(s), and applying a damage index to the processed signal(s), wherein the damage index incorporates a processed control signal generated by a sensor(s) at or near the joint when the joint was healthy, i.e., in a substantially undamaged state. Another aspect of the present invention provides a pipeline that includes at least two pipe segments, at least one joint connecting the two pipe segments, and at least one signal generating sensor affixed to the pipeline that is capable of detecting vibration at or near the joint, at least one signal processor that is capable of EMD processing the signal, and an output device (e.g., computer monitor, LED display, a light bulb, an electronic alarm, or other sound or light generating device).

The invention discloses a ceramic processing surface damage detection system, which collects the processing status of the processing surface in the high-efficiency precision grinding process and the characteristic data of the grinding surface topography by the computer, and performs classification processing to obtain the edge contour characteristics of the damage, and identify The macro-quantitative index surface breakage rate, stability, diffusion and damage characteristic parameters that characterize the damage degree of the processed surface are extracted, combined with computer digital image processing technology and algorithms, to complete the detection and evaluation of ceramic surface processing damage. Compared with the existing technology, the system can effectively detect the surface damage type, characteristics, and surface damage degree of advanced ceramics and other related materials, and can be used as an important reference index for comprehensively evaluating the surface quality of ceramic processing. The detection software written in the system is simple and practical, low in cost, more conducive to popularization, reliable and effective, and has greater economic benefits.

A system and method of providing noise control for a wind turbine are provided. The system includes at least one blade operably mounted on a wind turbine, and one or more sensors for receiving one or more signals relating to an operating characteristic of the wind turbine. A controller is configured for evaluating the signals to determine if they are outside a predetermined range. The system is configured to adjust operating characteristics and / or generate alarms if the signals are outside a predetermined range. The method includes the steps of receiving one or more signals from one or more sensors, determining if the signals are outside a predetermined range, and adjusting an operating parameter of the wind turbine or generating an alarm in response to the signals received from the sensors. The operating parameter can be adjusted to alter the amount of noise generated by the wind turbine.

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.

The invention discloses a transmission tower modal parameter identification method based on an improved subspace algorithm and used for completing the modal parameter identification of a large span transmission tower structure through individually utilizing response data under the excitation of a field environment. According to the identification process, multi-group packet response data are integrated into synchronous pulse response data based on a random subspace identification principle; the integrated data avoid fitting errors caused by the packet identification, so the synchronous integrated identification of the data is realized; and a stable graph is constructed by utilizing modal parameter identification results under different system orders, so a modal parameter identification order determination problem under the environment excitation is solved, modal omission and repetition phenomena of traditional methods of a peak value method and the like are avoided, the obtained identification result is accurate and stable, and bases are established for subsequent structure damage detection and life estimation.

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.

Systems and methods for forming conductive materials. The conductive materials can be applied using a printer in single or multiple passes onto a substrate. The conductive materials are composed of electrical conductors such as carbon nanotubes (including functionalized carbon nanotubes and metal-coated carbon nanotubes), grapheme, a polycyclic aromatic hydrocarbon (e.g. pentacene and bisperipentacene), metal nanoparticles, an inherently conductive polymer (ICP), and combinations thereof. Once the conductive materials are applied, the materials are dried and sintered to form adherent conductive materials on the substrate. The adherent conductive materials can be used in applications such as damage detection, particle removal, and smart coating systems.

The present invention provides a dynamic detection method and device for surface damage of bridge cables. An intelligent detection device is arranged radially on the surface of bridge cables. The intelligent detection device travels at a constant speed on the surface of bridge cables through a driving device. A camera collects the surface image of the bridge cable and sends it to the image processing and recording system; the bridge cable surface damage dynamic detection algorithm program solidified in the system DSP chip judges whether there is damage in the collected image, and records the position of the positioning mechanism if there is damage Move the distance to accurately locate the injury site. The processing steps of the cable surface image are: parallel image acquisition; effective information interception; filtering and noise reduction; curved surface projection correction; target segmentation; defect identification and information storage. Through the above algorithm, the rapid identification, location and storage of the surface damage of the bridge cable are completed, so as to realize the purpose of dynamic detection of the surface damage of the bridge cable.

A device for use in detecting structural damage comprises at least one piezoelectric wafer including 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.

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.

A method (330) for detecting damage (501) on a display (108) or other touch-sensitive surface is disclosed. A damage detection module (304), operable with a control circuit (301) of an electronic device (100), detects a damaged portion (702) of the display. A presentation adaptation module (305) presents user actuation targets (404) in portions (701) of the display that are complementary to the damaged portion. The presentation adaptation module can optionally present non-interactive presentation data in the damaged portion. The presentation adaptation module may also optionally reconfigure the user actuation targets prior to presenting them on the display.

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.