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Hamid Khodabandehlou et al.
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Yang Yu et al.
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Chong Zhang et al.
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Funa Zhou et al.
JOURNAL OF CONTROL SCIENCE AND ENGINEERING (2017)
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Linxia Liao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
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V. Meruane
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Olivier Janssens et al.
JOURNAL OF SOUND AND VIBRATION (2016)
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
Xiaojie Guo et al.
MEASUREMENT (2016)
Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
Meng Gan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Feng Jia et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring
Liang Guo et al.
SHOCK AND VIBRATION (2016)
Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
Hongmei Liu et al.
SHOCK AND VIBRATION (2016)
Structural damage assessment using linear approximation with maximum entropy and transmissibility data
V. Meruane et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Gearbox Fault Identification and Classification with Convolutional Neural Networks
ZhiQiang Chen et al.
SHOCK AND VIBRATION (2015)
An inverse parallel genetic algorithm for the identification of skin/core debonding in honeycomb aluminium panels
V. Meruane et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2015)
Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies
V. Meruane et al.
SHOCK AND VIBRATION (2014)
Learning Hierarchical Features for Scene Labeling
Clement Farabet et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Model updating using antiresonant frequencies identified from transmissibility functions
V. Meruane
JOURNAL OF SOUND AND VIBRATION (2013)
Gradient methods for minimizing composite functions
Yu Nesterov
MATHEMATICAL PROGRAMMING (2013)
Damage localization using transmissibility functions: A critical review
Simon Chesne et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
On the use of the transmissibility concept for the evaluation of frequency response functions
Antonio P. V. Urgueira et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Identification of Structural Damage in a Vehicular Bridge using Artificial Neural Networks
C. Gonzalez-Perez et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)
An evidence-based approach to damage location on an aircraft structure
K. Worden et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2009)
Development in vibration-based structural damage detection technique
Y. J. Yan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
The application of machine learning to structural health monitoring
Keith Worden et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)
Damage identification using inverse methods
Michael I. Friswell
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)
A novel information-gap technique to assess reliability of neural network-based damage detection
SG Pierce et al.
JOURNAL OF SOUND AND VIBRATION (2006)
Distributed structural health monitoring with a smart sensor array
TJ Johnson et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)
Structural fault diagnosis and isolation using neural networks based on response-only data
Q Chen et al.
COMPUTERS & STRUCTURES (2003)
Experimental validation of a structural health monitoring methodology. Part II. Novelty detection on a Gnat aircraft
G Manson et al.
JOURNAL OF SOUND AND VIBRATION (2003)
Experimental validation of a structural health monitoring methodology. Part III. Damage location on an aircraft wing
G Manson et al.
JOURNAL OF SOUND AND VIBRATION (2003)
Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure
K Worden et al.
JOURNAL OF SOUND AND VIBRATION (2003)
Damage assessment using neural networks
JL Zapico et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2003)
Transmissibility as a differential indicator of structural damage
TJ Johnson et al.
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2002)
Crack Modeling for Structural Health Monitoring
M. I. Friswell et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2002)
Structural damage detection using artificial neural networks and measured FRF data reduced via principal component protection
C Zang et al.
JOURNAL OF SOUND AND VIBRATION (2001)
Joint damage assessment of framed structures using a neural networks technique
CB Yun et al.
ENGINEERING STRUCTURES (2001)
The transmissibility concept in multi-degree-of-freedom systems
NMM Maia et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2001)
Vibration-based damage identification in structures exhibiting axial and torsional response
TA Duffey et al.
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2001)