Propulsion vibration analysis using neural network inverse modeling

被引：0

作者：

Hu, X ^{[1
]}

Vian, J ^{[1
]}

Choi, J ^{[1
]}

Carlson, D ^{[1
]}

Wunsch, DC ^{[1
]}

机构：

[1] Boeing Phantom Works, Seattle, WA 98124 USA

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1007603

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural networks are employed to predict the amount and location of propulsion system rotor unbalance. Vibration data used to train and test inverse system models are generated via a highorder structural dynamic finite element model. Several neural network methods, including feed forward neural network using back propagation, node-decoupled Kalman filter (NDEKF) and support vector machines (SVMs) are investigated. Training results and performance among the various methods are compared. Original applications to nonlinear structural models and damaged structure models are shown.

引用

页码：2866 / 2871

页数：2

共 50 条

[1] Neural network inverse models for propulsion vibration diagnostics
Huang, HY
Vian, J
Choi, J
Carlson, D
Wunsch, D
APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE IV, 2001, 4390 : 12 - 21
[2] Inverse modeling for adaptive control using neural network
Abouzalam, B.A.
1995, AMSE Press, Tassin-la-Demi-Lune, France (46): : 1 - 3
[3] Neural network solution of the inverse vibration problem
Mahmoud, MA
Abu Kiefa, MA
NDT & E INTERNATIONAL, 1999, 32 (02) : 91 - 99
[4] Inverse Modeling for Filters Using a Regularized Deep Neural Network Approach
Pan, Guangyuan
Wu, Yang
Yu, Ming
Fu, Liping
Li, Hongsheng
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2020, 30 (05) : 457 - 460
[5] Transmitarray Antenna Design Using Forward and Inverse Neural Network Modeling
Gosal, Gurpreet
Almajali, E'qab
McNamara, Derek
Yagoub, Mustapha
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2016, 15 : 1483 - 1486
[6] Engineering Neutron Diffraction Data Analysis with Inverse Neural Network Modeling
Denizer, Baris
Uestuendag, Ersan
Ceylan, Halil
Li, Li
Lee, Seung-Yub
MECHANICAL STRESS EVALUATION BY NEUTRONS AND SYNCHROTRON RADIATION VI, 2014, 772 : 39 - +
[7] Analysis of vibration level for power tool using neural network
Tan W.H.
Lim E.A.
Ong K.S.
International Journal of Automotive and Mechanical Engineering, 1600, 16 (03): : 7121 - 7132
[8] Analysis of Vibration Level for Power Tool Using Neural Network
Tan, W. H.
Lim, E. A.
Ong, K. S.
INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2019, 16 (03) : 7121 - 7132
[9] Modeling of three phase inverse fluidized bed using artificial neural network
Dolas, A
Pandharipande, SL
Chandak, BS
INDIAN JOURNAL OF CHEMICAL TECHNOLOGY, 2005, 12 (03) : 327 - 331
[10] Yield improvement for GaAs IC manufacturing using neural network inverse modeling
Zurada, JM
Lozowski, A
Malinowski, A
1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 800 - 805

← 1 2 3 4 5 →