Deep convolutional neural networks for Bearings failure predictionand temperature correlation

Deep learning framework for recognition of cattle using muzzle point image pattern

(2018) Santosh Kumar et al.   MEASUREMENT

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei 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

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations

(2018) Zhixiong Li et al.   RENEWABLE ENERGY

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

(2018) Dong Wang et al.   IEEE Access

Direct Remaining Useful Life Estimation Based on Support Vector Regression

(2017) Racha Khelif et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

The use of MD-CUMSUM and NARX neural network for anticipating the remaining useful life of bearings

(2017) Akhand Rai et al.   MEASUREMENT

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

(2017) Luyang Jing et al.   MEASUREMENT

Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

(2017) Jianbo Yu   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

(2017) Kamran Javed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2017) Liang Guo et al.   NEUROCOMPUTING

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

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

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

(2016) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review

(2015) D. Goyal et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS