A novel deep learning-based method for damage identification of smart building structures

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robust locally linear embedding algorithm for machinery fault diagnosis

(2018) Yansheng Zhang et al.   NEUROCOMPUTING

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding

(2018) Yingwei Zhang et al.   IEEE Access

Sensitive deep convolutional neural network for face recognition at large standoffs with small dataset

(2017) Amin Jalali et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of Extreme Learning Machine to Damage Detection of Plate-Like Structures

(2017) S. S. Kourehli   International Journal of Structural Stability and Dynamics

Analysis of the Geometrical Evolution in On-the-Fly Surface-Hopping Nonadiabatic Dynamics with Machine Learning Dimensionality Reduction Approaches: Classical Multidimensional Scaling and Isometric Feature Mapping

(2017) Xusong Li et al.   Journal of Chemical Theory and Computation

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Vibration-based damage detection of concrete gravity dam monolith via wavelet transform

(2017) Seyed Rohollah Hoseini Vaez et al.   Journal of Vibroengineering

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

(2017) Guoqing Gui et al.   KSCE Journal of Civil Engineering

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

(2017) Wang Fuan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Development of an isolator working with magnetorheological elastomers and fluids

(2017) S.S. Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Design and verification of a hybrid nonlinear MRE vibration absorber for controllable broadband performance

(2017) S S Sun et al.   Smart Materials and Structures

Damage detection under varying temperature using artificial neural networks

(2017) Jianfeng Gu et al.   Structural Control & Health Monitoring

Multiway principal component analysis contributions for structural damage localization

(2017) Magda Ruiz et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

(2017) et al.   Applied Sciences-Basel

The influence of seismic intensity parameters on structural damage of RC buildings using principal components analysis

(2016) Ali Massumi et al.   APPLIED MATHEMATICAL MODELLING

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

(2016) Serkan Kiranyaz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm

(2016) Onur Avci et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Detection of structural changes through principal component analysis and multivariate statistical inference

(2016) Francesc Pozo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An investigation on early bearing fault diagnosis based on wavelet transform and sparse component analysis

(2016) Hongyu Cui et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structural damage detection based on posteriori probability support vector machine and Dempster–Shafer evidence theory

(2015) Qifeng Zhou et al.   APPLIED SOFT COMPUTING

Design and novel type of a magnetorheological damper featuring piston bypass hole

(2015) Jung Woo Sohn et al.   Smart Materials and Structures

Convolutional Neural Networks for Distant Speech Recognition

(2014)   IEEE SIGNAL PROCESSING LETTERS

Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

(2014) Qirong Mao et al.   IEEE TRANSACTIONS ON MULTIMEDIA

A new magnetorheological elastomer isolator in shear–compression mixed mode

(2014) CY Yang et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms

(2014) Michele Betti et al.   MECCANICA

A novel magnetorheological elastomer isolator with negative changing stiffness for vibration reduction

(2014) J Yang et al.   Smart Materials and Structures

The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model

(2013) Jiangpeng Shu et al.   ENGINEERING STRUCTURES

APPLICATION OF THE BASELINE STIFFNESS METHOD FOR DAMAGE DETECTION OF AN RC BUILDING WITHOUT BASELINE MODAL PARAMETERS UTILIZING THE INDEPENDENT COMPONENT ANALYSIS FOR MODAL EXTRACTION

(2013) RAMSÉS RODRÍGUEZ-ROCHA et al.   International Journal of Structural Stability and Dynamics

Nonlinear multiclass support vector machine–based health monitoring system for buildings employing magnetorheological dampers

(2013) Jo Woon Chong et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

A frequency response based structural damage localization method using independent component analysis

(2013) Mehdi Salehi et al.   Journal of Mechanical Science and Technology

Modal identification and damage detection in beam-like structures using the power spectrum and time–frequency analysis

(2013) Gilbert-Rainer Gillich et al.   SIGNAL PROCESSING

Experimental study and modeling of a novel magnetorheological elastomer isolator

(2013) Jian Yang et al.   Smart Materials and Structures

Development and characterization of a magnetorheological elastomer based adaptive seismic isolator

(2013) Yancheng Li et al.   Smart Materials and Structures

Design and vibration control of military vehicle suspension system using magnetorheological damper and disc spring

(2013) Sung Hoon Ha et al.   Smart Materials and Structures

A novel transmissibility concept based on wavelet transform for structural damage detection

(2013) Zhe Fan et al.   Smart Structures and Systems

Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

(2013) S.J.S. Hakim et al.   STRUCTURAL ENGINEERING AND MECHANICS

Blind identification of damage in time-varying systems using independent component analysis with wavelet transform

(2012) Yongchao Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Decreasing the damage in smart structures using integrated online DDA/ISMP and semi-active control

(2012) K Karami et al.   Smart Materials and Structures

Human Tracking Using Convolutional Neural Networks

(2010) Jialue Fan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Damage identification in beams using empirical mode decomposition

(2010) Davood Rezaei et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Hypersensitivity of strain-based indicators for structural damage identification: A review

(2009) Y.Y. Li   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural damage detection using empirical-mode decomposition and vector autoregressive moving average model

(2009) Yinfeng Dong et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Stochastic change detection in uncertain nonlinear systems using reduced-order models: system identification

(2008) Hae-Bum Yun et al.   Smart Materials and Structures

Stochastic change detection in uncertain nonlinear systems using reduced-order models: classification

(2008) Hae-Bum Yun et al.   Smart Materials and Structures