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Vibro-Acoustic Characteristic of A Self Aligning Spherical Journal Bearing due to Eccentric Bore Fault [PDF]
Self aligning spherical journal bearing is a type of plain bearings which has spherical surface contact. This type of bearing can accommodate a misalignment problem.
Gu, Fengshou +3 more
core +8 more sources
In order to improve the accuracy and effectiveness of the fault diagnosis of the bogie bearing of urban rail transit vehicle, taking the vehicle bogie bearing of Guiyang Metro Line 1 as the research object, the full life cycle fault diagnosis system of ...
Fuying Li
doaj
Data-driven based rolling bearing fault diagnosis has been widely investigated in recent years. However, in real-world industry scenarios, the collected labeled samples are normally in a different data distribution.
Zhengni Yang, Rui Yang, Mengjie Huang
doaj +1 more source
Diagnosis method for bearing faults in coal mining equipment
The early fault characteristics of rolling bearings in coal mining equipment are weak, and they are easily affected by factors such as load and working conditions.
YANG Chuncai, LI Xianglei, LYU Xiaowei
doaj +1 more source
To early identify cylindrical roller bearing failures, this paper proposes a comprehensive bearing fault diagnosis method, which consists of spectral kurtosis analysis for finding the most informative subband signal well representing abnormal symptoms ...
In-Kyu Jeong +5 more
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Bidirectional Current WP and CBAR Neural Network Model-Based Bearing Fault Diagnosis
In the era of artificial intelligence, the development of an efficient bearing, fault diagnosis method is of vital importance to ensure smooth production operations and avoid major economic losses.
Jianguang Zhu, Tang Liu
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Compound Fault Diagnosis of Aero-Engine Rolling Element Bearing Based on CCA Blind Extraction
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
Rolling bearing fault diagnosis based on wavelet packet decomposition and PSO-BPN
In view of problems in existing rolling bearing fault diagnosis methods for coal mine rotating machinery, such as incomplete signal feature extraction, low fault diagnosis accuracy and low efficiency, a rolling bearing fault diagnosis method based on ...
JU Chen +5 more
doaj +1 more source
Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology
To overcome the challenges still faced by data-driven hoist main bearing fault diagnosis methods, including data imbalance due to a lack of fault samples under real operating conditions, diagnostic performance degradation of fault diagnosis models caused
Fei DONG +4 more
doaj +1 more source
According to the rolling bearing local fault vibration mechanism, a monopulse feature extraction and fault diagnosis method of rolling bearing under low-speed and heavy-load conditions based on phase scan and CNN is proposed.
Chang Liu +3 more
doaj +1 more source

