A novel ResNet-based model structure and its applications in machine health monitoring

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

(2019) Gaowei Xu et al.   SENSORS

A transfer convolutional neural network for fault diagnosis based on ResNet-50

(2019) Long Wen et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Relevance vector machine for tool wear prediction

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

Application of a new EWT-based denoising technique in bearing fault diagnosis

(2019) Saeed Nezamivand Chegini et al.   MEASUREMENT

Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study

(2019) Yongbo Li et al.   IEEE TRANSACTIONS ON RELIABILITY

Holistic approach to machine tool data analytics

(2018) Juergen Lenz et al.   JOURNAL OF MANUFACTURING SYSTEMS

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

(2018) Fatemeh Aghazadeh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Narrowband envelope spectra fusion method for fault diagnosis of rolling element bearings

(2018) Jie Duan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

(2018) Xiaoli Zhao et al.   NEUROCOMPUTING

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

(2018) Huihui Qiao et al.   SENSORS

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

A bearing vibration data analysis based on spectral kurtosis and ConvNet

(2018) Sandeep S. Udmale et al.   SOFT COMPUTING

A novel gearbox fault feature extraction and classification using Hilbert empirical wavelet transform, singular value decomposition, and SOM neural network

(2017) Boualem Merainani et al.   JOURNAL OF VIBRATION AND CONTROL

A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

(2017) Ming Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fuzzy logic based tool condition monitoring for end-milling

(2017) Besmir Cuka et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings

(2017) Hongdi Zhou et al.   SENSORS

Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance

(2017) Jihong Yan et al.   IEEE Access

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Tool wear monitoring based on kernel principal component analysis and v-support vector regression

(2016) Dongdong Kong et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A review of machining monitoring systems based on artificial intelligence process models

(2009) Jose Vicente Abellan-Nebot et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY