Titlebook: Sensors & Instrumentation and Aircraft/Aerospace Testing Techniques, Volume 8; Proceedings of the 4 Chad Walber,Matthew Stefanski,Stephen S

ASSET

Implementation of Shaft-Mounted Accelerometer in the Local Fault Diagnosis of Geared Systems,hoosing different locations for the fault with respect to the transducer. Finally, the shaft-mounted accelerometer is used to obtain the same experimental results, while the speed is changing, which suggests the proposed approach is also effective towards condition monitoring of the gears under fluc

催眠

Govan-Partick Pedestrian Bridge: Piezoelectric Energy Harvesting from Footfall-Induced Vibrations,beams, the vibrations induced from footfall are harvested to generate an electric potential, which can then be stored or used to charge sensors used to monitor the activity on the bridge. The data will be displayed in real time to promote active travelling..By modelling the bridge in a Finite Elemen

Substitution

試驗

diathermy

為現(xiàn)場

Dynamic Characterization of Aircraft Shock Cords Used for Free-Free Boundary Conditions for Ground o less than desirable separation between rigid body modes and flexible body modes. In response to this discrepancy, ATA performed an in-depth study to better characterize the dynamic stiffness of these aircraft shock cords to better estimate rigid body isolation frequencies. This chapter presents th

GRATE

反復無常

多余

,Fiducial Marker–Based Localization of Autonomous UAV for Structural Health Monitoring,where the location of each marker is stored in a marker’s library. The markers are detected by the UAV during the flight and the prebuilt library information is used to localize UAV’s position in the whole structure. It has been shown through various experiments that the use of computer vision-based

Tempor

Obstacle Avoidance Method for Autonomous UAV for Structural Health Monitoring,s based on their relative position and the nearest obstacle group is selected to be avoided first. Then the distance from the nearest obstacle to the UAV is estimated using monocular depth estimation and a pinhole camera model. If the obstacle is dangerously close to the UAV, it must be avoided. For