Concepedia

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

Xiang Li, Xiang Li, Xiaodong Jia, Hui Ma, Zhong Luo, Li Xu, Li Xu

Measurement · 2019 · 356 citations · 38 references

Concepts

ComputingComputer ScienceIndustrial EngineeringArtificial IntelligenceData MiningMachine LearningDeep LearningDiagnosisDiagnosticsFault DetectionFault DiagnosisGenerative ModelingDeep Learning-based DiagnosisFault Detection Using Deep LearningGenerative Adversarial NetworksImbalanced ClassificationMachine Fault DiagnosisMachine Learning-based Fault DiagnosisNeural Network-based Diagnosis

References

38

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Haibo He, Yang Bai, Edwardo A. Garcia et al. · 2008 · 4.4K citations

Computing, Computer Science, Data Mining +16

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

Wade A. Smith, Robert B. Randall · Mechanical Systems and Signal Processing · 2015 · 2.5K citations · Full text

Engineering, Mechanical Engineering, Finite Element Analysis +11

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

Guillaume Lemaître, Fernando Nogueira, Christos K. Aridas · arXiv (Cornell University) · 2016 · 1.6K citations · Full text

Computing, Computer Science, Data Mining +13

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced\n Datasets in Machine Learning

Guillaume Lemaître, Fernando Nogueira, Christos K. Aridas · arXiv (Cornell University) · 2016 · 1.4K citations · Full text

Computing, Computer Science, Data Mining +13