Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms

An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image

(2020) Ying Zhang et al.   MEASUREMENT

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

(2020) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Novel Condition Monitoring Method of Wind Turbines Based on Long Short-Term Memory Neural Network

(2019) Peng Qian et al.   Energies

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network

(2019) Pangun Park et al.   SENSORS

Sliding window denoising K-Singular Value Decomposition and its application on rolling bearing impact fault diagnosis

(2018) Honggang Yang et al.   JOURNAL OF SOUND AND VIBRATION

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

(2018) Shuhui Wang et al.   KNOWLEDGE-BASED SYSTEMS

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao 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 optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

Bagged Decision Trees Based Scheme of Microgrid Protection Using Windowed Fast Fourier and Wavelet Transforms

(2018) Solomon Netsanet et al.   Electronics

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

(2018) Changqing Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie

(2018) Kaiwei Liang et al.   COMPLEXITY

Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults

(2018) D. Zappalá et al.   RENEWABLE ENERGY

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

A Deep Learning Model for Robust Wafer Fault Monitoring With Sensor Measurement Noise

(2017) Hoyeop Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes

(2017) Ki Bum Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

(2017) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-frequency weak signal detection based on multi-segment cascaded stochastic resonance for rolling bearings

(2017) Wei Guo et al.   MICROELECTRONICS RELIABILITY

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System

(2017) Siliang Lu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

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

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

A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling

(2016) Hussein Al-Bugharbee et al.   JOURNAL OF SOUND AND VIBRATION

Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals

(2016) Siliang Lu et al.   JOURNAL OF SOUND AND VIBRATION

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

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

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan 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

Statistical Comparison of Fault Detection Models for Semiconductor Manufacturing Processes

(2015) Taehyung Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine

(2015) XiaoLi Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

(2015) Xiang Wang et al.   SENSORS

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network

(2014) Muhammet Unal et al.   MEASUREMENT

Multi-sensor data fusion using support vector machine for motor fault detection

(2012) Tribeni Prasad Banerjee et al.   INFORMATION SCIENCES

Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis

(2012) Peng Li et al.   MEASUREMENT

Roller element bearing fault diagnosis using singular spectrum analysis

(2012) Bubathi Muruganatham et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Unsupervised learning of hierarchical representations with convolutional deep belief networks

(2011) Honglak Lee et al.   COMMUNICATIONS OF THE ACM

Classification of fault location and the degree of performance degradation of a rolling bearing based on an improved hyper-sphere-structured multi-class support vector machine

(2011) Yujing Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING