Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

Reliable prediction of remaining useful life (RUL) plays an indispensable role in prognostics and health management (PHM) by reason of the increasing safety requirements of industrial equipment. Meanwhile, data-driven methods in RUL prognostics have attracted widespread interest. Deep learning as a...

Full description

Bibliographic Details
Main Authors:	Zhengmin Kong, Yande Cui, Zhou Xia, He Lv
Format:	Article
Language:	English
Published:	MDPI AG 2019-10-01
Series:	Applied Sciences
Subjects:	remaining useful life prognostics convolutional neural network long short-term memory health indicator time series data-driven
Online Access:	https://www.mdpi.com/2076-3417/9/19/4156

Similar Items

Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life
by: Jehn-Ruey Jiang, et al.
Published: (2019-12-01)

A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors
by: Luis Magadán, et al.
Published: (2023-02-01)

Convolutional Long Short-Term Memory (C-LSTM) For Multi Product Prediction
by: Putu Sugiartawan, et al.
Published: (2023-10-01)

Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery
by: Cunsong Wang, et al.
Published: (2018-10-01)

Visualization-based prediction of dendritic copper growth in electrochemical cells using convolutional long short-term memory
by: Roshan Kumar, et al.
Published: (2022-11-01)

Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks
by: Zhidan Zhong, et al.
Published: (2022-07-01)

A Remaining Useful Life Prediction Method of Mechanical Equipment Based on Particle Swarm Optimization-Convolutional Neural Network-Bidirectional Long Short-Term Memory
by: Yong Liu, et al.
Published: (2024-05-01)

Use of Long Short-Term Memory for Remaining Useful Life and Degradation Assessment Prediction of Dental Air Turbine Handpiece in Milling Process
by: Yi-Cheng Huang, et al.
Published: (2021-07-01)

Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation
by: Qiankun Hu, et al.
Published: (2023-01-01)

Long Short-Term Memory Approach to Estimate Battery Remaining Useful Life Using Partial Data
by: Benvolence Chinomona, et al.
Published: (2020-01-01)

Sea Drift Trajectory Prediction Based on Quantum Convolutional Long Short-Term Memory Model
by: Siyao Yan, et al.
Published: (2023-09-01)

A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction
by: Jialin Li, et al.
Published: (2019-01-01)

Remaining Useful Life Prediction Using Temporal Convolution with Attention
by: Wei Ming Tan, et al.
Published: (2021-02-01)

Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion
by: Yang Zhang, et al.
Published: (2020-01-01)

Rolling Bearing Remaining Useful Life Prediction Based on CNN-VAE-MBiLSTM
by: Lei Yang, et al.
Published: (2024-05-01)

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
by: Bowen Wang, et al.
Published: (2023-05-01)

Two-Stream Convolutional Network for Improving Activity Recognition Using Convolutional Long Short-Term Memory Networks
by: W. Ye, et al.
Published: (2019-01-01)

Comparing Single and Hybrid methods of Deep Learning for Remaining Useful Life Prediction of Lithium-ion Batteries
by: Zraibi Brahim, et al.
Published: (2021-01-01)

Prediksi Indeks BEI dengan Ensemble Convolutional Neural Network dan Long Short-Term Memory
by: Harya Widiputra, et al.
Published: (2021-06-01)

LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles
by: Kyungnam Park, et al.
Published: (2020-01-01)

An Improved PF Remaining Useful Life Prediction Method Based on Quantum Genetics and LSTM
by: Yang Ge, et al.
Published: (2019-01-01)

Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models
by: Muhammad Amir As'ari, et al.
Published: (2024-02-01)

A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC
by: Chuang Sheng, et al.
Published: (2023-04-01)

Prediction of Bearing Remaining Service Life Based on CNN-LSTM
by: Cai Weiwei, et al.
Published: (2022-10-01)

Cascade Fusion Convolutional Long-Short Time Memory Network for Remaining Useful Life Prediction of Rolling Bearing
by: Qiong Wu, et al.
Published: (2020-01-01)

Forecasting Solar Power Using Long-Short Term Memory and Convolutional Neural Networks
by: Woonghee Lee, et al.
Published: (2018-01-01)

A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset
by: Owais Asif, et al.
Published: (2022-01-01)

Prediction of Chinese energy structure based on Convolutional Neural Network‐Long Short‐Term Memory (CNN‐LSTM)
by: Yan Li, et al.
Published: (2020-08-01)

Multistage Real-Time Fire Detection Using Convolutional Neural Networks and Long Short-Term Memory Networks
by: Manh Dung Nguyen, et al.
Published: (2021-01-01)

Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction
by: Hao Zhang, et al.
Published: (2020-01-01)

GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory
by: Tingliang Liu, et al.
Published: (2021-06-01)

Damage Identification of Long-Span Bridges Using the Hybrid of Convolutional Neural Network and Long Short-Term Memory Network
by: Lei Fu, et al.
Published: (2021-06-01)

Practical Options for Adopting Recurrent Neural Network and Its Variants on Remaining Useful Life Prediction
by: Youdao Wang, et al.
Published: (2021-07-01)

Prognostics Comparison of Lithium-Ion Battery Based on the Shallow and Deep Neural Networks Model
by: Bing Long, et al.
Published: (2019-08-01)

Prediction of State-of-Health and Remaining-Useful-Life of Battery Based on Hybrid Neural Network Model
by: Le Thi Minh Lien, et al.
Published: (2024-01-01)

A Prognostic and Health Management Framework for Aero-Engines Based on a Dynamic Probability Model and LSTM Network
by: Yufeng Huang, et al.
Published: (2022-06-01)

An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks
by: Shuai Zhou, et al.
Published: (2025-01-01)

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys
by: Jianqing Wu, et al.
Published: (2020-06-01)

Convolutional Long Short-Term Memory (ConvLSTM)-Based Prediction of Voltage Stability in a Microgrid
by: Muhammad Jamshed Abbass, et al.
Published: (2024-04-01)

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
by: Chujie Tian, et al.
Published: (2018-12-01)