Intelligent analysis of tool wear state using stacked denoising autoencoder with online sequential-extreme learning machine

Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification

(2019) Xin-Cheng Cao et al.   COMPUTERS IN INDUSTRY

A review of improved extreme learning machine methods for data stream classification

(2019) Li Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Manifold Regularized Stacked Denoising Autoencoders with Feature Selection

(2019) Jianbo Yu   NEUROCOMPUTING

Multi-label Classification using a Cascade of Stacked Autoencoder and Extreme Learning Machines

(2019) Anwesha Law et al.   NEUROCOMPUTING

EAT-Rice: A predictive model for flanking gene expression of T-DNA insertion activation-tagged rice mutants by machine learning approaches

(2019) Chi-Chou Liao et al.   PLoS Computational Biology

A deep autoencoder feature learning method for process pattern recognition

(2019) Jianbo Yu et al.   JOURNAL OF PROCESS CONTROL

An Intelligent Milling Tool Wear Monitoring Methodology Based on Convolutional Neural Network with Derived Wavelet Frames Coefficient

(2019) Xincheng Cao et al.   Applied Sciences-Basel

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

(2019) Meidi Sun et al.   MEASUREMENT

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online sequential class-specific extreme learning machine for binary imbalanced learning

(2019) Sanyam Shukla et al.   NEURAL NETWORKS

Cervical cancer classification using convolutional neural networks and extreme learning machines

(2019) Ahmed Ghoneim et al.   Future Generation Computer Systems-The International Journal of eScience

Real-Time Stencil Printing Optimization Using a Hybrid Multi-Layer Online Sequential Extreme Learning and Evolutionary Search Approach

(2019) Hongya Lu et al.   IEEE Transactions on Components Packaging and Manufacturing Technology

Estimation the wear state of milling tools using a combined ensemble empirical mode decomposition and support vector machine method

(2018) Chuangwen XU et al.   Journal of Advanced Mechanical Design Systems and Manufacturing

Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition

(2018) Mrutyunjaya Sahani et al.   NEUROCOMPUTING

An enhancement denoising autoencoder for rolling bearing fault diagnosis

(2018) Zong Meng et al.   MEASUREMENT

Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm

(2018) Feng Lu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Application of audible sound signals for tool wear monitoring using machine learning techniques in end milling

(2017) Achyuth Kothuru et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool condition monitoring technique for deep-hole drilling of large components based on chatter identification in time–frequency domain

(2017) Masahiro Uekita et al.   MEASUREMENT

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

(2017) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals

(2017) K. Patra et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm

(2016) Jiewu Leng et al.   KNOWLEDGE-BASED SYSTEMS

Building feature space of extreme learning machine with sparse denoising stacked-autoencoder

(2016) Le-le Cao et al.   NEUROCOMPUTING

On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression

(2016) Samik Dutta et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Extreme learning machine: algorithm, theory and applications

(2013) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Application of an intelligent classification method to mechanical fault diagnosis

(2009) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS