Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion

A hybrid information model based on long short-term memory network for tool condition monitoring

(2020) Weili Cai et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Deep Convolutional Neural Networks Model for Intelligent Fault Diagnosis of a Gearbox under Different Operational Conditions

(2019) Guangqi Qiu et al.   MEASUREMENT

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

A multimodal and hybrid deep neural network model for Remaining Useful Life estimation

(2019) Ali Al-Dulaimi et al.   COMPUTERS IN INDUSTRY

Investigation of progressive tool wear for determining of optimized machining parameters in turning

(2019) Mustafa Kuntoğlu et al.   MEASUREMENT

Relevance vector machine for tool wear prediction

(2019) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

(2019) Zhicong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Modeling and optimization of machining parameters during grinding of flat glass using response surface methodology and probabilistic uncertainty analysis based on Monte Carlo simulation

(2019) Sabri Öztürk et al.   MEASUREMENT

Intelligent condition assessment of industry machinery using multiple type of signal from monitoring system

(2019) Aijun Hu et al.   MEASUREMENT

An adaptive deep transfer learning method for bearing fault diagnosis

(2019) Zhenghong Wu et al.   MEASUREMENT

Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation

(2019) Fafa Chen et al.   MEASUREMENT

Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications

(2018) Yanhui Lin et al.   APPLIED SOFT COMPUTING

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

(2018) Jun Wu et al.   APPLIED SOFT COMPUTING

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

(2018) Haidong Shao 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

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

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

(2018) Yuting Wu et al.   NEUROCOMPUTING

Dynamic Identification of Coal-Rock Interface Based on Adaptive Weight Optimization and Multi-Sensor Information Fusion

(2018) Haijian WANG et al.   Information Fusion

Predicting tool wear with multi-sensor data using deep belief networks

(2018) Yuxuan Chen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series

(2018) Huihui Qiao et al.   SENSORS

Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry

(2018) Dong-Hyeon Kim et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

(2018) Alberto Diez-Olivan et al.   Information Fusion

Deep Recurrent Neural Networks for Hyperspectral Image Classification

(2017) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

(2017) Jinjiang Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model

(2016) Kamran Javed et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

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

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine

(2012) Van Tung Tran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox

(2011) Bing Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification

(2009) Jun-Hong Zhou et al.   IEEE Transactions on Industrial Informatics