An end-to-end framework combining time–frequency expert knowledge and modified transformer networks for vibration signal classification

Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism

(2019) Xiang Li et al.   SIGNAL PROCESSING

VibroNet: Recurrent Neural Networks with Multi-target Learning for Image-based Vibration Frequency Measurement

(2019) Jiantao Liu et al.   JOURNAL OF SOUND AND VIBRATION

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

Automated gear fault detection of micron level wear in bevel gears using variational mode decomposition

(2019) Dada Saheb Ramteke et al.   Journal of Mechanical Science and Technology

A new subset based deep feature learning method for intelligent fault diagnosis of bearing

(2018) Yuyan Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Integration of Multi-Gaussian fitting and LSTM neural networks for health monitoring of an automotive suspension component

(2018) Huan Luo et al.   JOURNAL OF SOUND AND VIBRATION

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

A stochastic global identification framework for aerospace structures operating under varying flight states

(2018) Fotis Kopsaftopoulos et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Discriminative context learning with gated recurrent unit for group activity recognition

(2018) Pil-Soo Kim et al.   PATTERN RECOGNITION

LSTM Fully Convolutional Networks for Time Series Classification

(2018) Fazle Karim et al.   IEEE Access

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN

(2017) Tao Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet

(2017) Haidong Shao et al.   ISA TRANSACTIONS

A novel method for condition monitoring of rotating machinery based on statistical linguistic analysis and weighted similarity measures

(2017) Jinshan Lin et al.   JOURNAL OF SOUND AND VIBRATION

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

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

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

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

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Kurtosis forecasting of bearing vibration signal based on the hybrid model of empirical mode decomposition and RVM with artificial bee colony algorithm

(2015) Sheng-wei Fei   EXPERT SYSTEMS WITH APPLICATIONS

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

(2015) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

(2013) Zhipeng Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiwavelet transform and its applications in mechanical fault diagnosis – A review

(2013) Hailiang Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration signal classification by wavelet packet energy flow manifold learning

(2012) Qingbo He   JOURNAL OF SOUND AND VIBRATION

Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique

(2012) David Siegel et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An intelligent condition-based maintenance platform for rotating machinery

(2011) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel intelligent gear fault diagnosis model based on EMD and multi-class TSVM

(2011) Zhongjie Shen et al.   MEASUREMENT

Variable cosine windowing of intrinsic mode functions: Application to gear fault diagnosis

(2011) Anand Parey et al.   MEASUREMENT

Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

(2010) Dong Yu et al.   IEEE SIGNAL PROCESSING MAGAZINE

Design of micro-scale highly expandable networks of polymer-based substrates for macro-scale applications

(2010) G Lanzara et al.   Smart Materials and Structures

A new approach to intelligent fault diagnosis of rotating machinery

(2007) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS