Concepedia

Fault diagnosis of wind turbine bearing using a multi-scale convolutional neural network with bidirectional long short term memory and weighted majority voting for multi-sensors

Zifei Xu, Xuan Mei, Xinyu Wang, Minnan Yue, Jiangtao Jin, Yang Yang, Chun Li

Renewable Energy · 2021 · 122 citations · 37 references

Open access

Concepts

ComputingComputer ScienceMachine LearningSensor FusionWind EngineeringDeep LearningDiagnosisFault DetectionFault DiagnosisPattern RecognitionRepresentation LearningBearing Fault DiagnosisConvolutional Neural NetworksDeep Learning-based DiagnosisLong Short-term Memory NetworksMachine Learning-based Fault DiagnosisMajority VotingWeighted Majority VotingWeighted Voting

References

37

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Xuezhe Ma, Eduard Hovy · 2016 · 2.6K citations · Full text

Computing, Computer Science, Computational Linguistics +11

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

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Biao Wang, Yaguo Lei, Naipeng Li et al. · IEEE Transactions on Reliability · 2018 · 1.8K citations

Engineering, Data Science, Machine Learning +16

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

Wěi Zhāng, Chuanhao Li, Gaoliang Peng et al. · Mechanical Systems and Signal Processing · 2017 · 1.3K citations

Computing, Computer Science, Computer Vision +15