Results 21 to 30 of about 8,705 (267)
Rolling bearings are the core transmission components of large-scale equipment. Once a fault occurs, the consequences may be catastrophic, posing a serious threat to life and the safety of the property.
Zhenggaoyuan Fang +3 more
doaj +1 more source
Review on Fault Diagnosis on the Rolling Bearing
Abstract As the most basic parts of rotating machinery, the health condition of rolling bearing affects the performance and safety of the whole mechanical equipment. Therefore, the accurate fault diagnosis of rolling bearings is the basic condition to ensure the good working condition of the equipment.
Tengfei Zhang, Shuyong Liu, Suai Zhang
openaire +1 more source
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
To timely detect bearing operating condition, and accurately identify bearing fault type and fault severity, a novel multi-stage hybrid fault diagnosis strategy for rolling bearing is proposed in this paper, which mainly consists of three stages (i.e ...
Xiaoan Yan +3 more
doaj +1 more source
Rolling Bearing Fault Diagnosis Method Based on Parallel QPSO-BPNN Under Spark-GPU Platform
Facing the massive rolling bearing vibration data, how to improve the training efficiency, diagnosis efficiency, and diagnosis accuracy of the rolling bearing fault diagnosis model is a challenge. Considering that the Spark-GPU platform provides powerful
Lanjun Wan +5 more
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
doaj +1 more source
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
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
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

