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Vibro-Acoustic Characteristic of A Self Aligning Spherical Journal Bearing due to Eccentric Bore Fault [PDF]

open access: yes
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

Study on Fault Diagnosis System for Urban Rail Transit Vehicle Bogie Bearing based on Continuous Long and Sloping Route

open access: yesJixie chuandong, 2021
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  

Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction

open access: yesSensors, 2021
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

open access: yesGong-kuang zidonghua, 2023
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

Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects

open access: yesShock and Vibration, 2015
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
doaj   +1 more source

Bidirectional Current WP and CBAR Neural Network Model-Based Bearing Fault Diagnosis

open access: yesIEEE Access, 2023
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
doaj   +1 more source

Compound Fault Diagnosis of Aero-Engine Rolling Element Bearing Based on CCA Blind Extraction

open access: yesIEEE 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

Rolling bearing fault diagnosis based on wavelet packet decomposition and PSO-BPN

open access: yesGong-kuang zidonghua, 2020
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

open access: yesMeitan kexue jishu
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

Monopulse Feature Extraction and Fault Diagnosis Method of Rolling Bearing under Low-Speed and Heavy-Load Conditions

open access: yesShock and Vibration, 2021
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

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