A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis

Fault recognition of rolling bearing with small-scale dataset based on transfer learning

(2021) Mingxuan Liang et al.   Journal of Vibroengineering

A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage

(2021) Natalia Koteleva et al.   SENSORS

Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests

(2021) Huifang Li et al.   IEEE Transactions on Automation Science and Engineering

CEEMD-assisted kernel support vector machines for bearing diagnosis

(2020) Yanfei Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Logical–Linguistic Model of Diagnostics of Electric Drives with Sensors Support

(2020) Yury Nikitin et al.   SENSORS

Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains

(2020) Bo Zhao et al.   NEUROCOMPUTING

PSO-GA based hybrid with Adam Optimization for ANN training with application in Medical Diagnosis

(2020) Rajesh K. Yadav et al.   Cognitive Systems Research

Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method

(2020) Prem Shankar Kumar et al.   ISA TRANSACTIONS

Performance Analysis of Different Optimizers for Deep Learning based Image Recognition

(2019) Seda Postalcioglu   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

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

(2018) Han Liu et al.   ISA TRANSACTIONS

Improved similarity-based modeling for the classification of rotating-machine failures

(2018) Matheus A. Marins et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Memory Physical Aware Multi-Level Fault Diagnosis Flow

(2018) Gurgen Harutyunyan et al.   IEEE Transactions on Emerging Topics in Computing

Research on a learning rate with energy index in deep learning

(2018) Huizhen Zhao et al.   NEURAL NETWORKS

Nuclear Power Plant Thermocouple Sensor Fault Detection and Classification using Deep Learning and Generalized Likelihood Ratio Test

(2017) Shyamapada Mandal et al.   IEEE TRANSACTIONS ON NUCLEAR SCIENCE

Weighted time series fault diagnosis based on a stacked sparse autoencoder

(2017) Feiya Lv et al.   JOURNAL OF CHEMOMETRICS

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

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

A Novel Fault Detection Method for an Integrated Navigation System using Gaussian Process Regression

(2016) Yixian Zhu et al.   JOURNAL OF NAVIGATION

Study on Ensemble Crop Information Extraction of Remote Sensing Images Based on SVM and BPNN

(2016) Dawei Li et al.   Journal of the Indian Society of Remote Sensing

An optimal fault detection threshold for early detection using Kullback–Leibler Divergence for unknown distribution data

(2016) Abdulrahman Youssef et al.   SIGNAL PROCESSING

Diversified learning for continuous hidden Markov models with application to fault diagnosis

(2015) Zefang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Online Hyperparameter-Free Sparse Estimation Method

(2015) Dave Zachariah et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Rolling bearing fault diagnosis using an optimization deep belief network

(2015) Haidong Shao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines

(2015) R. Jegadeeshwaran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis

(2013) Van Tung Tran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Neural networks for document image preprocessing: state of the art

(2012) Amjad Rehman et al.   ARTIFICIAL INTELLIGENCE REVIEW

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks

(2011) Hongmei Shao et al.   NEURAL PROCESSING LETTERS

Random forests classifier for machine fault diagnosis

(2009) Bo-Suk Yang et al.   Journal of Mechanical Science and Technology