A hierarchical scheme for remaining useful life prediction with long short-term memory networks

A hybrid model of LSTM neural networks with thermodynamic model for condition-based maintenance of compressor fouling

(2021) Yunfeng Jin et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Collaborative deep learning framework for fault diagnosis in distributed complex systems

(2021) Haoxiang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Damage identification of wind turbine blades with deep convolutional neural networks

(2021) Jihong Guo et al.   RENEWABLE ENERGY

Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method

(2020) Jian Ma et al.   APPLIED ENERGY

Predicting county-scale maize yields with publicly available data

(2020) Zehui Jiang et al.   Scientific Reports

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems

(2020) Chao Liu et al.   KNOWLEDGE-BASED SYSTEMS

Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network

(2020) Marcin Wozniak et al.   IEEE Transactions on Industrial Informatics

Recurrent Neural Network Model for IoT and Networking Malware Threat Detection

(2020) Marcin Wozniak et al.   IEEE Transactions on Industrial Informatics

Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks

(2019) Huihui Miao et al.   IEEE Transactions on Industrial Informatics

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing

(2019) Shao Haidong et al.   KNOWLEDGE-BASED SYSTEMS

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

(2019) Boyuan Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long short-term memory for machine remaining life prediction

(2018) Jianjing Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Remaining useful life prediction of degrading systems subjected to imperfect maintenance: Application to draught fans

(2018) Zhao-Qiang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination

(2011) Dongxiang Jiang et al.   IEEE TRANSACTIONS ON RELIABILITY