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Fuzzy Broad Learning System Combined with Feature-Engineering-Based Fault Diagnosis for Bearings
Machines, 2022 Bearings are essential components of rotating machinery used in mechanical systems, and fault diagnosis of bearings is of great significance to the operation and maintenance of mechanical equipment.
Jianmin Zhou +5 more
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Bearing intelligent fault diagnosis
Gong-kuang zidonghua, 2022 Bearing vibration signal is a kind of time series data, and its time dimension characteristic plays a key role in classification. Using convolutional neural network (CNN) alone to diagnose bearing fault will cause the loss of time dimension information ...
WU Dongmei +4 more
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A Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering
IEEE Access, 2021 Rolling bearing is an important part of mechanical equipment. Timely detection of rolling bearing fault is one of the important factors to ensure the safe operation of equipment.
Jingbao Hou +4 more
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IEEE Access, 2021 The random forest (RF) algorithm is a typical representative of ensemble learning, which is widely used in rolling bearing fault diagnosis. In order to solve the problems of slower diagnosis speed and repeated voting of traditional RF algorithm in ...
Lanjun Wan +5 more
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Rolling Bearing Fault Diagnosis Method Based on MCMF and SAIMFE
Shock and Vibration, 2022 Fault diagnosis of rolling bearing is important for ensuring the safe operation of industrial machinery. In order to improve diagnosis accuracy of bearing fault, a rolling bearing fault diagnosis method based on multiscale combined morphological filter ...
Dejun Meng +5 more
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IEEE Access, 2023 The main bearing is the core component of gas-fired generator, and its reliability directly affects the stability of the whole system. Therefore, it is of great significance to study the fault diagnosis of the main bearing of gas-fired generator.
Yunji Zhao +3 more
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Study on the Extraction Method for Track-Side Acoustic Features Based on Cyclic Stationary Analysis
Machines, 2023 Because of its non-contact measurement characteristics, trackside acoustic technology is now utilized for train bearing fault diagnosis. However, the collected acoustic signal produces Doppler distortions that can impact the accuracy of bearing fault ...
Xing Zhao +3 more
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A Survey of Incipient Fault Diagnosis of Bearings Based on Data-drive
Jixie chuandong, 2023 On-line real time diagnosis of bearing incipient faults is the intersection of practical engineering application requirements and basic scientific research. It is one of the development directions of bearing fault diagnosis at home and abroad.
Li Zhaofei
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Fault diagnosis method of rolling bearing based on MTF and DenseNet
Gong-kuang zidonghua, 2022 The fault diagnosis methods of rolling bearing based on model and signal processing and analysis have the problems of modeling difficulty and signal characteristic extraction difficulty. The rolling bearing fault diagnosis method based on shallow machine
JIANG Jiaguo, GUO Manli
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Entropy, 2018 Aiming to solve the problem of accurate diagnosis of the size and location of rolling bearing faults, a novel quantitative and localization fault diagnosis method of the rolling bearing is proposed based on the quantitative mapping model (QMM). The fault
Jialong Wang, Lingli Cui, Yonggang Xu
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