caa a22 4500 477034268 CHVBK 20180405111301.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF00426021 doi (NATIONALLICENCE)springer-10.1007/BF00426021 Yen Gary School of Electrical and Computer Engineering, Oklahoma State University, 74078-5032, Stillwater, OK, USA aut Health monitoring of vibration signatures in rotorcraft wings [Elektronische Daten] [Gary Yen] We propose to design and to evaluate an on-board intelligent health assessment tool for rotorcraft machines, which is capable of detecting, identifying, and accommodating expected system degradations and unanticipated catastrophic failures in rotorcraft machines under an adverse operating environment. A fuzzy-based neural network paradigm with an on-line learning algorithm is developed to perform expert advising for the ground-based maintenance crew. A hierarchical fault diagnosis architecture is advocated to fulfill the time-critical and on-board needs in different levels of structural integrity over a global operating envelope. The research objective is to experimentally demonstrate the feasibility and flexibility of the proposed health monitoring procedure through numerical simulations of bearing faults in USAF MH-53J PAVELOW helicopter transmissions. The proposed fault detection, identification and accommodation architecture is applicable to various generic rotorcraft machines. The proposed system will greatly reduce the operational and developmental costs and serve as an essential component in an autonomous control system. Kluwer Academic Publishers, 1996 artificial neural network nationallicence fault detection and identification nationallicence fuzzy logic nationallicence health monitoring nationallicence rotorcraft wing nationallicence Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 127-137 1370-4621 4:3<127 1996 4 11063 https://doi.org/10.1007/BF00426021 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00426021 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yen Gary School of Electrical and Computer Engineering, Oklahoma State University, 74078-5032, Stillwater, OK, USA aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 127-137 1370-4621 4:3<127 1996 4 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer