Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery

Monitoring of a machining process using kernel principal component analysis and kernel density estimation

(2019) Wo Jae Lee et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Long short-term memory for machine remaining life prediction

(2018) Jianjing Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

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

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

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

A Novel Image Feature for the Remaining Useful Lifetime Prediction of Bearings Based on Continuous Wavelet Transform and Convolutional Neural Network

(2018) Youngji Yoo et al.   Applied Sciences-Basel

Deep learning and its applications to machine health monitoring

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

A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions

(2018) Jungho Park et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments

(2017) Duck Bong Kim   JOURNAL OF INTELLIGENT MANUFACTURING

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth

(2017) D. Yu. Pimenov et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

(2017) Luyang Jing et al.   MEASUREMENT

Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

(2017) David Verstraete et al.   SHOCK AND VIBRATION

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network

(2012) Zhenyou Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Current status of machine prognostics in condition-based maintenance: a review

(2010) Ying Peng et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY