A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

(2018) Han Liu et al.   ISA TRANSACTIONS

Multifault Diagnosis of Induction Motor at Intermediate Operating Conditions Using Wavelet Packet Transform and Support Vector Machine

(2018) Purushottam Gangsar et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

(2018) H.O.A. Ahmed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks

(2018) Donghyun Park et al.   SENSORS

Deep forest

(2018) Zhi-Hua Zhou et al.   National Science Review

Automatic Hot Test of Gyrotron-Traveling Wave Tubes by Adaptive PID Feedback Control

(2017) Guo Liu et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Video Captioning With Attention-Based LSTM and Semantic Consistency

(2017) Lianli Gao et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Learning Simpler Language Models with the Differential State Framework

(2017) Alexander G. Ororbia II et al.   NEURAL COMPUTATION

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao 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

Bearing fault recognition method based on neighbourhood component analysis and coupled hidden Markov model

(2016) Haitao Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

(2016) Hamid Palangi et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

(2015) Wei Qiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Wavelet energy-based visualization and classification of high-dimensional signal for bearing fault detection

(2014) Uk Jung et al.   KNOWLEDGE AND INFORMATION SYSTEMS