Compound Fault Characteristic Analysis for Fault Diagnosis of a Planetary Gear Train [PDF]
SensorsThe carrier eccentricity error and gear compound faults are most likely to occur simultaneously in an actual planetary gear train (PGT). Various faults and errors are coupled with each other to generate a complex dynamic response, which makes the ...
Yulin Ren +5 more
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An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers [PDF]
Sensors, 2022 In fault diagnosis research, compound faults are often regarded as an isolated fault mode, while the association between compound faults and single faults is ignored, resulting in the inability to make accurate and effective diagnoses of compound faults ...
Qitong Xu +3 more
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Exploring the essence of compound fault diagnosis: A novel multi-label domain adaptation method and its application to bearings [PDF]
Heliyon, 2023 Compound fault diagnosis in essence is a fundamental but difficult problem to be solved. The separation and extraction of compound fault features remain great challenges in industrial applications due to the lack of labeled fault data.
Liuxing Chu +5 more
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Multiscale Convolutional Neural Network Based on Channel Space Attention for Gearbox Compound Fault Diagnosis [PDF]
Sensors, 2023 Gearboxes are one of the most widely used speed and power transfer elements in rotating machinery. Highly accurate compound fault diagnosis of gearboxes is of great significance for the safe and reliable operation of rotating machinery systems.
Qinghong Xu +4 more
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Compound Fault Diagnosis of Wind Turbine Gearbox via Modified Signal Quality Coefficient and Versatile Residual Shrinkage Network [PDF]
SensorsWind turbine gearbox fault diagnosis is critical to guarantee working efficiency and operational safety. However, the current diagnostic methods face enormous restrictions in handling nonlinear noise signals and intricate compound fault patterns. Herein,
Weixiong Jiang +4 more
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Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD [PDF]
Sensors, 2022 The compound fault acoustic signal of a rolling bearing has the characteristics of a varying noise mixture, a low signal-to-noise ratio (SNR), and nonlinearity, which makes it difficult to separate and extract exactly the fault features of compound fault
Shishuai Wu, Jun Zhou, Tao Liu
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Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing [PDF]
Entropy, 2019 The rolling bearings often suffer from compound fault in practice. Compared with single fault, compound fault contains multiple fault features that are coupled together and make it difficult to detect and extract all fault features by traditional methods
Yonggang Xu +4 more
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Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network [PDF]
Sensors, 2023 The application of edge computing combined with the Internet of Things (edge-IoT) has been rapidly developed. It is of great significance to develop a lightweight network for gearbox compound fault diagnosis in the edge-IoT context.
Xiaoyang Zheng +5 more
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Compound mechanical fault diagnosis based on CMDE [PDF]
Advances in Mechanical Engineering, 2022 The fault diagnosis technique is of important for the safety operation of the rotating machinery. In the fault diagnosis framework, the entropy-based method is a promising tool for the feature extraction and signal processing.
Guangwei Yu, Xianzhi Wang, Chunlin Da
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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
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