Concepedia

A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions

Liangwei Zhang, Qi Fan, Jing Lin, Zhicong Zhang, Xiaohui Yan, Chuan Li

Engineering Applications of Artificial Intelligence · 2022 · 122 citations · 50 references

Concepts

ComputingComputer ScienceMechanical EngineeringMachine LearningTime Series AnalysisWind EngineeringDeep LearningDiagnosticsFault DetectionFault DiagnosisNeural NetworksWind Turbine TechnologyDeep Learning-based DiagnosisFault Detection Using Deep LearningGear Fault DiagnosisGearbox Condition MonitoringGearbox Fault DiagnosisMachine Learning-based Fault DiagnosisNeural Network-based Diagnosis

References

50

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Computing, Data Science, Visualization +13

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text

Computing, Computational Engineering, Biomedical Signal Processing +16

Proceedings of IEEE International Conference on Computer Vision

1995 · 12.9K citations

Computing, Computer Engineering, Computer Science +14

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

Guoqian Jiang, Haibo He, Jun Yan et al. · IEEE Transactions on Industrial Electronics · 2018 · 866 citations · Full text

Computing, Computer Science, Feature Engineering +16

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Zhibin Zhao, Tianfu Li, Jingyao Wu et al. · ISA Transactions · 2020 · 634 citations · Full text

Computing, Computer Science, Mechanical Engineering +16