Compound Fault Diagnosis of a Wind Turbine Gearbox Based on MOMEDA and Parallel Parameter Optimized Resonant Sparse Decomposition [PDF]
Sensors, 2022 Wind turbines usually operate in harsh environments. The gearbox, the key component of the transmission chain in wind turbines, can easily be affected by multiple factors during the operation process and develop compound faults. Different types of faults
Yang Feng +3 more
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Long-Tailed Multi-Label Diagnosis of Compound Faults in Wind Turbine Gearboxes via Multi-Channel Imaging of FBG Vibration Signals [PDF]
SensorsWind power plays an important role in renewable energy generation, and the reliability of wind turbine gearboxes directly affects turbine operation and maintenance.
Yuhan Peng +8 more
doaj +2 more sources
Compound Fault Diagnosis of Rolling Bearing Based on Singular Negentropy Difference Spectrum and Integrated Fast Spectral Correlation [PDF]
Entropy, 2020 Compound fault diagnosis is challenging due to the complexity, diversity and non-stationary characteristics of mechanical complex faults. In this paper, a novel compound fault separation method based on singular negentropy difference spectrum (SNDS) and ...
Guiji Tang, Tian Tian
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A New Compound Fault Feature Extraction Method Based on Multipoint Kurtosis and Variational Mode Decomposition [PDF]
Entropy, 2018 Due to the weak entropy of the vibration signal in the strong noise environment, it is very difficult to extract compound fault features. EMD (Empirical Mode Decomposition), EEMD (Ensemble Empirical Mode Decomposition) and LMD (Local Mean Decomposition ...
Wenan Cai +3 more
doaj +2 more sources
Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network. [PDF]
Sensors (Basel), 2023 The high correlation between rolling bearing composite faults and single fault samples is prone to misclassification. Therefore, this paper proposes a rolling bearing composite fault diagnosis method based on a deep graph convolutional network.
Chen C, Yuan Y, Zhao F.
europepmc +2 more sources
A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis. [PDF]
Sensors (Basel), 2023 This study researched the application of a convolutional neural network (CNN) to a bearing compound fault diagnosis. The proposed idea lies in the ability of CNN to automatically extract fault features from complex raw signals.
Han S +6 more
europepmc +2 more sources
Multi-Output Classification Based on Convolutional Neural Network Model for Untrained Compound Fault Diagnosis of Rotor Systems with Non-Contact Sensors. [PDF]
Sensors (Basel), 2023 Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important
Son T, Hong D, Kim B.
europepmc +2 more sources
Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network. [PDF]
Sensors (Basel), 2020 Gear transmission is widely used in mechanical equipment. In practice, if the gearbox is damaged, it not only affects the yield rate but also damages other parts of machines; thus, increases the cost and difficulty of maintenance. With the advancement of
Lin MC, Han PY, Fan YH, Li CG.
europepmc +2 more sources
Strike-slip fault terminations at seismogenic depths : the structure and kinematics of the Glacier Lakes fault, Sierra Nevada United States [PDF]
, 2008 Structural complexity is common at the terminations of earthquake surface ruptures; similar deformation may therefore be expected at the end zones of earthquake ruptures at depth.
Kirkpatrick, J. D. +20 more
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Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network
Kongzhi Yu Xinxi Jishu, 2022 At present, resonance demodulation and data envelopment analysis, etc are usually used for health evaluation and remaining life prediction of bearings, but there are some problems such as difficulty in extracting health degree, single fault prediction ...
JIANG Xuyao +5 more
doaj +3 more sources