
Optical fibers applied to aerospace systems prognostics: design and development of new FBG-based vibration sensors
Author(s) -
Gaetano Quattrocchi,
Pier Carlo Berri,
M. D. L. Vedova Dalla,
Paolo Maggiore
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1024/1/012095
Subject(s) - prognostics , structural health monitoring , aerospace , context (archaeology) , reliability (semiconductor) , accelerometer , reliability engineering , vibration , condition monitoring , strain gauge , systems engineering , physics of failure , computer science , engineering , aerospace engineering , structural engineering , electrical engineering , paleontology , power (physics) , physics , quantum mechanics , biology , operating system
Future generation actuation systems will be characterized by ever-increasing complexity. In this context, it will be necessary to adopt advanced health monitoring strategies to guarantee a high level of operational safety and system reliability. Prognostics and Health Management (PHM) is thus emerging as an enabling discipline for the design and operation of future advanced, complex systems. Smart systems with embedded self-monitoring capabilities are nowadays required in order to provide early faults identification and to perform innovative diagnostic and prognostic functions. In aerospace applications, the use of smart sensors could replace various types of traditional sensing elements, commonly used in structural monitoring with the additional capability of performing some prognostics or diagnostics tasks. This work proposes the first results of an experimental campaign aimed at evaluating and validating various packaging solutions for vibration amplification and detection using optical sensors (Fiber Bragg Gratings, FBGs), since characteristics frequencies can be good prognostics indicators of particular failure modes of a system. Several test samples were created by using 3D printed PLA and compared using a variety of bench tests. Results were compared in order to identify the strengths and weaknesses of the various proposed configurations, and were validated by comparing them with numerical simulations and experimental measurements performed with traditional sensors such as strain gages and accelerometers.