Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks

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

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

Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks

(2015) Tolga Baklacioglu et al.   ENERGY

Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine

(2015) Jiexiong Tang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques

(2015) Ryan Ahmed et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Sparse auto-encoder based feature learning for human body detection in depth image

(2015) Song-Zhi Su et al.   SIGNAL PROCESSING

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network

(2014) James Lyons et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

An Experimental Study on Speech Enhancement Based on Deep Neural Networks

(2013) Yong Xu et al.   IEEE SIGNAL PROCESSING LETTERS

Unsupervised Feature Learning for Aerial Scene Classification

(2013) Anil M. Cheriyadat   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING