Physics-Informed LSTM hyperparameters selection for gearbox fault detection

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

Physics guided neural network for machining tool wear prediction

(2020) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

(2020) Ke Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings

(2019) Mohammadkazem Sadoughi et al.   IEEE SENSORS JOURNAL

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

Application of surface replication combined with image analysis to investigate wear evolution on gear teeth – A case study

(2019) Haichuan Chang et al.   WEAR

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

(2019) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An improved singular value decomposition-based method for gear tooth crack detection and severity assessment

(2019) Yuejian Chen et al.   JOURNAL OF SOUND AND VIBRATION

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network

(2018) Wentao Mao et al.   Advances in Mechanical Engineering

GNAR-GARCH model and its application in feature extraction for rolling bearing fault diagnosis

(2017) Jiaxin Ma et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

(2017) Erik Marchi et al.   Computational Intelligence and Neuroscience

System identification of smart buildings under ambient excitations

(2016) Yeesock Kim et al.   MEASUREMENT

Metaheuristic Algorithms for Convolution Neural Network

(2016) L. M. Rasdi Rere et al.   Computational Intelligence and Neuroscience

Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series

(2015) Min Gan et al.   IEEE SIGNAL PROCESSING LETTERS

Varying Index Coefficient Models

(2015) Shujie Ma et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Vibration based condition monitoring of a multistage epicyclic gearbox in lifting cranes

(2013) Bassel Assaad et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth

(2011) Zaigang Chen et al.   ENGINEERING FAILURE ANALYSIS

A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling

(2010) Min Gan et al.   INFORMATION SCIENCES

Operational modal analysis by updating autoregressive model

(2010) V.H. Vu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING