Multiscale attentional residual neural network framework for remaining useful life prediction of bearings

A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction

(2020) Duyen H. Nguyen-Le et al.   ENGINEERING FRACTURE MECHANICS

Editorial for “Preliminary Assessment of Intravoxel Incoherent Motion Diffusion‐Weighted MRI ( IVIM‐DWI ) Metrics in Alzheimer's Disease”

(2020) Ahmed Abdel Khalek Abdel Razek   JOURNAL OF MAGNETIC RESONANCE IMAGING

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

(2020) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration response and fault characteristics analysis of gear based on time-varying mesh stiffness

(2020) Zong Meng et al.   MECHANISM AND MACHINE THEORY

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis

(2020) S. Khatir et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures

(2020) Roumaissa Zenzen et al.   COMPOSITE STRUCTURES

A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures

(2020) H. Tran-Ngoc et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network

(2020) Ning Ding et al.   MEASUREMENT

AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene Classification

(2020) Xirong Li et al.   Remote Sensing

An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm

(2019) H. Tran-Ngoc et al.   ENGINEERING STRUCTURES

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Physics-based intelligent prognosis for rolling bearing with fault feature extraction

(2018) Yanfei Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Signal fusion-based deep fast random forest method for machine health assessment

(2018) Nanqi Yuan et al.   JOURNAL OF MANUFACTURING SYSTEMS

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health indicator construction based on convolutional neural networks considering trend burr

(2018) Liang Guo et al.   NEUROCOMPUTING

Hybrid data-driven physics-based model fusion framework for tool wear prediction

(2018) Houman Hanachi et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep convolutional neural networks for Bearings failure predictionand temperature correlation

(2018) D. Belmiloud et al.   Journal of Vibroengineering

Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning

(2017) Zhenbao Liu et al.   IEEE Transactions on Industrial Informatics

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH