Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning

(2017) Lifeng Wu et al.   Applied Sciences-Basel

Fault diagnosis in spur gears based on genetic algorithm and random forest

(2016) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Iterative deep learning for image set based face and object recognition

(2016) Syed Afaq Ali Shah et al.   NEUROCOMPUTING

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

(2016) Chuan Li et al.   SENSORS

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform

(2015) Xiao Yu et al.   SENSORS

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

(2015) Xiang Wang et al.   SENSORS

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

(2015) Mariela Cerrada et al.   SENSORS

Audio-visual speech recognition using deep learning

(2014) Kuniaki Noda et al.   APPLIED INTELLIGENCE

Active deep learning method for semi-supervised sentiment classification

(2013) Shusen Zhou et al.   NEUROCOMPUTING

Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)

(2011) P. Konar et al.   APPLIED SOFT COMPUTING