Results 21 to 30 of about 8,705 (267)

Research on Improved Fault Detection Method of Rolling Bearing Based on Signal Feature Fusion Technology

open access: yesApplied Sciences, 2023
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

open access: yesJournal of Physics: Conference Series, 2021
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

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  

A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions

open access: yesIEEE Access, 2019
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

open access: yesIEEE Access, 2021
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

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

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

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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