scholarly journals Optical fibers applied to aerospace systems prognostics: design and development of new FBG-based vibration sensors

2021 ◽  
Vol 1024 (1) ◽  
pp. 012095
Author(s):  
G Quattrocchi ◽  
P C Berri ◽  
M D L Vedova Dalla ◽  
P Maggiore
2013 ◽  
Vol 543 ◽  
pp. 302-305
Author(s):  
Daniele Tosi ◽  
Massimo Olivero ◽  
Alberto Vallan ◽  
Guido Perrone

The paper analyzes the feasibility of cost-effective fiber sensors for the measurement of small vibrations, from low to medium-high frequencies, in which the complexity of the measurement is moved from expensive optics to cheap electronics without losing too much performance thanks to signal processing algorithms. Two optical approaches are considered: Bragg gratings in standard telecom fibers, which represent the most common type of commercial fiber sensors, and specifically developed sensors made with plastic optical fibers. In both cases, to keep the overall cost low, vibrations are converted into variations of the light intensity, although this makes the received signal more sensitive to noise. Then, adaptive filters and advanced spectral estimation techniques are used to mitigate noise and improve the sensitivity. Preliminary results have demonstrated that the combined effect of these techniques can yield to a signal-to-noise improvement of about 30 dB, bringing the proposed approaches to the level of the most performing sensors for the measurement of vibrations.


Author(s):  
M. S. Starvin ◽  
A. Sherly Alphonse

The reliability of an elevator system in a smart city is of great importance. This chapter develops a conceptual framework for the design and development of an automated online condition monitoring system for elevators (AOCMSE) using IoT techniques to avoid failures. The elevators are powered by the traction motors. Therefore, by placing vibration sensors at various locations within the traction motor, the vibration data can be acquired and converted to 2D grayscale images. Then, maximum response-based directional texture pattern (MRDTP) can be applied to those images which are an advanced method of feature extraction. The feature vectors can also be reduced in dimension using principal component analysis (PCA) and then given to extreme learning machine (ELM) for the classification of the faults to five categories. Thus, the failure of elevators and the consequences can be prevented by sending this detected fault information to the maintenance team.


1990 ◽  
Vol 15 (7) ◽  
pp. 399 ◽  
Author(s):  
Sophie LaRochelle ◽  
John E. Sipe ◽  
Victor Mizrahi ◽  
Kelly D. Simmons ◽  
George I. Stegeman

1992 ◽  
Author(s):  
Kent A. Murphy ◽  
Brian R. Fogg ◽  
Richard O. Claus ◽  
Ashish M. Vengsarkar

Author(s):  
Dale L. Johnson ◽  
William W. Vaughan

Natural (Terrestrial & Space) Environment (NE) phenomena play a significant role in the design and flight of aerospace vehicles and in the integrity of the associated aerospace systems and structures. Both the terrestrial environment (0-90 km altitude) and the space environment (Earth orbital altitudes) parameters and their engineering application philosophy are given with emphasis on launch vehicle-affected terrestrial environment elements. This paper will describe the key terrestrial and space environment sources: wind; atmospheric; and orbital models used in the design and development of launch/space vehicles.


1992 ◽  
Vol 10 (11) ◽  
pp. 1680-1687 ◽  
Author(s):  
K.A. Murphy ◽  
B.R. Fogg ◽  
A.M. Vengsarkar

1986 ◽  
Vol 4 (9) ◽  
pp. 1434-1439 ◽  
Author(s):  
T. Haibara ◽  
M. Matsumoto ◽  
M. Miyauchi

2011 ◽  
Author(s):  
Serdar Uckun ◽  
Tolga Kurtoglu ◽  
Peter Bunus ◽  
Irem Tumer ◽  
Christopher Hoyle ◽  
...  

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