A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data

Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound

(2018) Dong Oh et al.   SENSORS

Detecting damage in steel beams using modal strain energy based damage index and Artificial Neural Network

(2017) Z.X. Tan et al.   ENGINEERING FAILURE ANALYSIS

The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection

(2017) Khairul H. Padil et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Numerical evaluation of multi-metric data fusion based structural health monitoring of long span bridge structures

(2017) Rohan Soman et al.   Structure and Infrastructure Engineering

Damage detection of framed structures subjected to earthquake excitation using discrete wavelet analysis

(2016) Nikos G. Pnevmatikos et al.   Bulletin of Earthquake Engineering

Recognition of geochemical anomalies using a deep autoencoder network

(2016) Yihui Xiong et al.   COMPUTERS & GEOSCIENCES

Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure

(2016) Yun-Lai Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring

(2016) Magd Abdel Wahab et al.   Journal of Vibroengineering

Structural damage detectability using modal and ultrasonic approaches

(2016) B. Blachowski et al.   MEASUREMENT

Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network

(2016) Peng Jiang et al.   SENSORS

Wavelet analysis based damage localization in steel frames with bolted connections

(2016) Nikos G. Pnevmatikos et al.   Smart Structures and Systems

Fault diagnosis on beam-like structures from modal parameters using artificial neural networks

(2015) S.J.S. Hakim et al.   MEASUREMENT

Application of Neural Network for Prediction of Unmeasured Mode Shape in Damage Detection

(2013) Lyn Dee Goh et al.   ADVANCES IN STRUCTURAL ENGINEERING

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

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

(2013) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A structural damage detection indicator based on principal component analysis and statistical hypothesis testing

(2013) L E Mujica et al.   Smart Materials and Structures

Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification

(2013) Edwin Reynders et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Use of Wavelet-Based Damage-Sensitive Features for Structural Damage Diagnosis Using Strong Motion Data

(2011) Hae Young Noh et al.   JOURNAL OF STRUCTURAL ENGINEERING

Identifying damage locations under ambient vibrations utilizing vector autoregressive models and Mahalanobis distances

(2011) A.A. Mosavi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine learning algorithms for damage detection under operational and environmental variability

(2010) Eloi Figueiredo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Sequential damage detection approaches for beams using time-modal features and artificial neural networks

(2009) Jae-Hyung Park et al.   JOURNAL OF SOUND AND VIBRATION

Damage detection of truss bridge joints using Artificial Neural Networks

(2007) M. Mehrjoo et al.   EXPERT SYSTEMS WITH APPLICATIONS