Compound Fault Diagnosis of Planetary Gearbox Based on Improved LTSS-BoW Model and Capsule Network [PDF]
SensorsThe identification of compound fault components of a planetary gearbox is especially important for keeping the mechanical equipment working safely. However, the recognition performance of existing deep learning-based methods is limited by insufficient ...
Guoyan Li +5 more
doaj +3 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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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
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
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
Fault detection and diagnosis of a plastic film extrusion process [PDF]
, 2010 This paper presents a new approach to the design of a model-based fault detection and diagnosis system for application to a plastic film extrusion process. The design constructs a residual generator via parity relations.
UK EPSRC Industrial CASE Award (Funder) +4 more
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Compound Fault Diagnosis of Aero-Engine Rolling Element Bearing Based on CCA Blind Extraction
IEEE Access, 2021 Fault diagnosis of aero-engine spindle bearing is a critical technique of engine prognostics and health management. As is known that the diagnosis of compound fault of aero-engine spindle bearing is very difficult and easily affected by other vibration ...
Wei-Tao Zhang +3 more
doaj +1 more source
Application of Deep Neural Network in Gearbox Compound Fault Diagnosis
Energies, 2023 Gearbox fault diagnosis is vital to ensure the efficient operation of rotating machinery, and most gearbox faults in industrial production occur in the form of compound faults. To realize the diagnosis of compound faults in gearboxes at different speeds,
Xiangfeng Zhang +3 more
doaj +1 more source
Results in Physics, 2022 Deep learning has extensive application in fault diagnosis regarding the health monitoring of machinery core components. Although deep networks have better nonlinear representation ability, they inevitably introduce a large number of parameters ...
Jiahui Tang, Jimei Wu, Jiajuan Qing
doaj +1 more source
Advances in Mechanical Engineering, 2023 In general, gearbox is prone to occur compound fault due to its harsh working environment and its fault vibration signal contains multi-components which correspond to each gearbox parts.
Lu Yan +5 more
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