Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit

Data-driven wear monitoring for sliding bearings using acoustic emission signals and long short-term memory neural networks

(2021) F. König et al.   WEAR

Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems

(2021) Sourajit Behera et al.   INFORMATION SCIENCES

A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators

(2020) Hoang-Phuong Nguyen et al.   APPLIED SOFT COMPUTING

Attention-Based Recurrent Neural Network for Multistep-Ahead Prediction of Process Performance

(2020) Majid Moradi Aliabadi et al.   COMPUTERS & CHEMICAL ENGINEERING

Potential, challenges and future directions for deep learning in prognostics and health management applications

(2020) Olga Fink et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Research on rolling bearing state health monitoring and life prediction based on PCA and Internet of things with multi-sensor

(2020) Heng Wang et al.   MEASUREMENT

A lightweight neural network with strong robustness for bearing fault diagnosis

(2020) Dechen Yao et al.   MEASUREMENT

Control and prediction protocol for bearing failure through spectral power density

(2020) Javier Castilla-Gutiérrez et al.   Eksploatacja i Niezawodnosc-Maintenance and Reliability

Application of the Teager-Kaiser energy operator in diagnostics of a hydrodynamic bearing

(2020) Jędrzej Blaut et al.   Eksploatacja i Niezawodnosc-Maintenance and Reliability

Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM

(2020) Prashant Kumar et al.   ISA TRANSACTIONS

Evaluation of turned and milled surfaces roughness using convolutional neural network

(2020) Achmad P. Rifai et al.   MEASUREMENT

Operational reliability evaluation and prediction of rolling bearing based on isometric mapping and NoCuSa-LSSVM

(2020) Shuzhi Gao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

(2020) Prem Shankar Kumar et al.   ISA TRANSACTIONS

Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network

(2020) Ning Ding et al.   MEASUREMENT

A BiGRU method for remaining useful life prediction of machinery

(2020) Daoming She et al.   MEASUREMENT

Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors

(2020) Han Cheng et al.   MEASUREMENT

Oscillation based permutation entropy calculation as a dynamic nonlinear feature for health monitoring of rolling element bearing

(2020) Khandaker Noman et al.   MEASUREMENT

1D convolutional neural networks and applications: A survey

(2020) Serkan Kiranyaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Speech enhancement based on simple recurrent unit network

(2019) Xingyue Cui et al.   APPLIED ACOUSTICS

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Selective health indicator for bearings ensemble remaining useful life prediction with genetic algorithm and Weibull proportional hazards model

(2019) Guangqi Qiu et al.   MEASUREMENT

Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions

(2019) Pradeep Kundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life

(2019) Jehn-Ruey Jiang et al.   SENSORS

An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence

(2018) Akhand Rai et al.   APPLIED SOFT COMPUTING

Compound gear-bearing fault feature extraction using statistical features based on time-frequency method

(2018) Laxmikant S. Dhamande et al.   MEASUREMENT

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration

(2018) AbdElRahman ElSaid et al.   APPLIED SOFT COMPUTING

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL