Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods-Reference-Cited by-同舟云学术

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

Published:2023-09-06 Issue:18 Volume:23 Page:7704
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Song Xiaohua¹,Liu Jing²^ORCID,Xia Min³

Affiliation:

1. School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China

2. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

3. Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK

Abstract

Fault diagnosis and vibration control are the tracking of any aspect of an industry mechanical components’ performance using reliably measured data and analytical simulations in conjunction with the heuristic experience, so that the current and expected future performance of the machine for at least the most critical limit events can be described in a proactive manner [...]

Funder

Industrial Science and Technology Research Project of Shaanxi Province

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/18/7704/pdf

Reference15 articles.

1. A Statistical Feature Investigation of the Spalling Propagation Assessment for a Ball Bearing;Liu;Mech. Mach. Theory,2019

2. A Dynamic Model for the Planetary Bearings in a Double Planetary Gear Set;Liu;Mech. Syst. Signal Process.,2023

3. A Simulation Analysis of Ball Bearing Lubrication Characteristics Considering the Cage Clearance;Liu;J. Tribololy,2023

4. Scislo, L. (2023). Verification of Mechanical Properties Identification Based on Impulse Excitation Technique and Mobile Device Measurements. Sensors, 23.

5. Pei, D., Yue, J., and Jiao, J. (2023). A Novel Method for Bearing Fault Diagnosis under Variable Speed Based on Envelope Spectrum Fault Characteristic Frequency Band Identification. Sensors, 23.