Compound fault separation and diagnosis method for online rolling bearings based on RSEUnet and 1DCNN

Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals

(2022) Ronny Francis Ribeiro Junior et al.   MEASUREMENT

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

(2022) Mushabi Pule et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm

(2022) Jianchun Guo et al.   MEASUREMENT

Rolling bearing composite fault diagnosis method based on EEMD fusion feature

(2022) Yixin Zhao et al.   Journal of Mechanical Science and Technology

Mechanical fault intelligent diagnosis using attention-based dual-scale feature fusion capsule network

(2022) Qingyu Zhang et al.   MEASUREMENT

Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals

(2021) Shu Han et al.   Energies

A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults

(2020) Ali Dibaj et al.   EXPERT SYSTEMS WITH APPLICATIONS

Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network

(2020) Xin Wang et al.   MEASUREMENT

Motor Fault Detection Using Wavelet Transform and Improved PSO-BP Neural Network

(2020) Chun-Yao Lee et al.   Processes

An FSK-MBCNN based method for compound fault diagnosis in wind turbine gearboxes

(2020) Jianqun Zhang et al.   MEASUREMENT

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis

(2020) Bo Peng et al.   IEEE Transactions on Cybernetics

Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases

(2019) Chunlin Zhang et al.   Chinese Journal of Aeronautics

Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform

(2019) Wei Teng et al.   RENEWABLE ENERGY

Intelligent Detection of a Planetary Gearbox Composite Fault Based on Adaptive Separation and Deep Learning

(2019) Guo-dong Sun et al.   SENSORS

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

(2018) Min Xia et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy

(2018) Kin Wah Edward Lin et al.   NEURAL COMPUTING & APPLICATIONS