Deep learning-based cross-domain adaptation for gearbox fault diagnosis under variable speed conditions

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions

(2019) Md Junayed Hasan et al.   MEASUREMENT

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion

(2019) Yubin Pan et al.   MECHANISM AND MACHINE THEORY

Rolling element bearing fault diagnosis based on Over-Complete rational dilation wavelet transform and auto-correlation of analytic energy operator

(2018) Jaskaran Singh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dynamic modeling of gearbox faults: A review

(2018) Xihui Liang 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

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Model Based Domain Adaptation for Fault Diagnosis

(2017) Weining Lu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

Motor current signature analysis for gearbox condition monitoring under transient speeds using wavelet analysis and dual-level time synchronous averaging

(2017) Inaki Bravo-Imaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing damage assessment using Jensen-Rényi Divergence based on EEMD

(2017) Jaskaran Singh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

(2017) Long Wen et al.   IEEE Transactions on Systems Man Cybernetics-Systems

K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: Revisited

(2016) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm

(2012) Fafa Chen et al.   MEASUREMENT

Gear fault identification based on Hilbert–Huang transform and SOM neural network

(2012) Gang Cheng et al.   MEASUREMENT