Application of PCA and SVM in Fault Detection and Diagnosis of Bearings with Varying Speed

Meta-learning for few-shot bearing fault diagnosis under complex working conditions

(2021) Chuanjiang Li et al.   NEUROCOMPUTING

VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing

(2021) Anil Kumar et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions

(2020) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

A novel knowledge transfer network with fluctuating operational condition adaptation for bearing fault pattern recognition

(2020) Peng Chen et al.   MEASUREMENT

Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions

(2019) Te Han et al.   ISA TRANSACTIONS

A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network

(2019) Yuantao Yang et al.   ISA TRANSACTIONS

Rotor fault diagnosis using a convolutional neural network with symmetrized dot pattern images

(2019) Xiaoxun Zhu et al.   MEASUREMENT

Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network

(2019) Chunzhi Wu et al.   COMPUTERS IN INDUSTRY

Condition monitoring of rotating machines under time-varying conditions based on adaptive canonical variate analysis

(2019) Xiaochuan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of Electrical Network Frequency of Digital Recordings for Location-Stamp Verification

(2019) Mrinmoy Sarkar et al.   Applied Sciences-Basel

A fault dynamic model of high-speed angular contact ball bearings

(2019) Yi Qin et al.   MECHANISM AND MACHINE THEORY

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

(2019) Xiang Li et al.   NEUROCOMPUTING

Non-Intrusive Load Monitoring Using Current Shapelets

(2019) Md. Mehedi Hasan et al.   Applied Sciences-Basel

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 two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method

(2018) Xiaolong Zhang et al.   NEUROCOMPUTING

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis

(2018) Shenghao Tang et al.   NEUROCOMPUTING

A deep learning driven method for fault classification and degradation assessment in mechanical equipment

(2018) Zhe Li et al.   COMPUTERS IN INDUSTRY

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines

(2018) Jinrui Wang et al.   NEUROCOMPUTING

Multi-sensors based condition monitoring of rotary machines: An approach of multidimensional time-series analysis

(2018) Teng Wang et al.   MEASUREMENT

A diagnostic signal selection scheme for planetary gearbox vibration monitoring under non-stationary operational conditions

(2017) Ke Feng et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A new online fault detection method based on PCA technique

(2013) I. Jaffel et al.   IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION

Fault Diagnosis of Helical Coil Steam Generator Systems of an Integral Pressurized Water Reactor Using Optimal Sensor Selection

(2012) Fan Li et al.   IEEE TRANSACTIONS ON NUCLEAR SCIENCE

On the application of PCA technique to fault diagnosis

(2010) S Ding et al.   TSINGHUA SCIENCE AND TECHNOLOGY

An SVM-based machine learning method for accurate internet traffic classification

(2008) Ruixi Yuan et al.   INFORMATION SYSTEMS FRONTIERS