Related references
Note: Only part of the references are listed.A seismic fault recognition method based on ant colony optimization
Lei Chen et al.
JOURNAL OF APPLIED GEOPHYSICS (2018)
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
Shao Haidong et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A probability distribution model of tooth pits for evaluating time-varying mesh stiffness of pitting gears
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Gear fault diagnosis using transmission error and ensemble empirical mode decomposition
Sungho Park et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system
Hao Ren et al.
NEUROCOMPUTING (2018)
Salience based object tracking in complex scenes
Qi Wang et al.
NEUROCOMPUTING (2018)
Resultant vibration signal model based fault diagnosis of a single stage planetary gear train with an incipient tooth crack on the sun gear
Xianzeng Liu et al.
RENEWABLE ENERGY (2018)
Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
Pei Cao et al.
IEEE ACCESS (2018)
A New Transfer Learning Method and Its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions
Weiwei Qian et al.
IEEE ACCESS (2018)
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet
Haidong Shao et al.
ISA TRANSACTIONS (2017)
Modified compensation algorithm of lever-arm effect and flexural deformation for polar shipborne transfer alignment based on improved adaptive Kalman filter
Tongda Wang et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2017)
A survey of deep neural network architectures and their applications
Weibo Liu et al.
NEUROCOMPUTING (2017)
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
Luyang Jing et al.
SENSORS (2017)
Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence
Ran Zhang et al.
SENSORS (2017)
Detection of Pitting in Gears Using a Deep Sparse Autoencoder
Yongzhi Qu et al.
APPLIED SCIENCES-BASEL (2017)
Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions
Ran Zhang et al.
IEEE ACCESS (2017)
A deep belief network based fault diagnosis model for complex chemical processes
Zhanpeng Zhang et al.
COMPUTERS & CHEMICAL ENGINEERING (2017)
An Intelligent Gear Fault Diagnosis Methodology Using a Complex Wavelet Enhanced Convolutional Neural Network
Weifang Sun et al.
MATERIALS (2017)
Fault Diagnosis for Rolling Bearings under Variable Conditions Based on Visual Cognition
Yujie Cheng et al.
MATERIALS (2017)
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
Chen Lu et al.
ADVANCED ENGINEERING INFORMATICS (2017)
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
Wenjun Sun et al.
MEASUREMENT (2016)
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Feng Jia et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis
Hassen Keskes et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Comparison of Particle Swarm Optimization and Backpropagation Algorithms for Training Feedforward Neural Network
Nasser Mohammadi et al.
JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS (2014)
Monopole-Gear Design Based on Neural Network and Modified Particle Swarm Optimization
Hairong Fang
APPLIED MECHANICS AND MATERIALS II, PTS 1 AND 2 (2014)
Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)
N. Saravanan et al.
APPLIED SOFT COMPUTING (2010)
Fault diagnosis of turbine based on fuzzy cross entropy of vague sets
Jun Ye
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network
Jian-Da Wu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
B Samanta et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)