Bearing fault diagnosis base on multi-scale CNN and LSTM model

Bearing fault diagnosis with nonlinear adaptive dictionary learning

(2019) Yanfei Lu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

ECG anomaly class identification using LSTM and error profile modeling

(2019) Sucheta Chauhan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep adaptive learning method for rolling bearing fault diagnosis using immunity

(2019) Yuling Tian et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Rolling Bearing Fault Diagnosis Using Modified LFDA and EMD With Sensitive Feature Selection

(2018) Xiao Yu et al.   IEEE Access

An approach to robust fault diagnosis in mechanical systems using computational intelligence

(2017) Adrián Rodríguez Ramos et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement

(2016) Yong Xu et al.   IEEE Access

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 Home Sleep Apnea Screening Device With Time-Domain Signal Processing and Autonomous Scoring Capability

(2015) Jiayi Jin et al.   IEEE Transactions on Biomedical Circuits and Systems

Vibration Spectrum Imaging: A Novel Bearing Fault Classification Approach

(2015) Muhammad Amar et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault

(2015) Chenxi Wu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory

(2015) Cong Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Combined intelligent methods based on wireless sensor networks for condition monitoring and fault diagnosis

(2013) İlhan Aydın et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination

(2013) Hongkun Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

(2012) Shuen-De Wu et al.   Entropy

Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network

(2012) Zhenyou Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors

(2011) Arturo Garcia-Perez et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Differentiating between expanded and fault conditions using principal component analysis

(2009) M. Humberstone et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Self adaptive diagnosis of tool wear with a microcontroller

(2008) Erkki Jantunen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box

(2007) N. Saravanan et al.   EXPERT SYSTEMS WITH APPLICATIONS