Published September 1, 2018 | Version v1
Journal article

Coupling Faults Diagnosis of a Gear-Shaft-Bearing System with Crack and Tooth Wear Faults

  • 1. Faculty of Engineering, Shanghai Polytechnic University, Shanghai, 201209 (China)

Description

Considering tooth wear, crack failure of a gear-rotor-bearing system, multiple faults diagnosis model are established. The gear rotor bearing system with coupled multiple faults is identified by using model-based signal-based identification method, and type of system fault are distinguished in order to raise more efficient and accurate fault identification algorithm. It verifies the theoretical correctness and reliability of the method by making the experiment of gear-rotor-bearing system on a gear-rotor test bench. This study has an important guiding significance and application value to accurately predict the faults of gear-rotor-bearing system, and improves the reliability of the gear rotor system. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/417/1/012022

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
417
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1757-899X

Conference

Title
5. International Conference on Mechanics and Mechatronics Research
Acronym
ICMMR 2018
Dates
19-21 Jul 2018
Place
Tokyo (Japan)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52094865
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; BEARINGS; COUPLING; FAILURES; FAULT TREE ANALYSIS; RELIABILITY; ROTORS; SIGNALS
Descriptors DEC
MATHEMATICAL LOGIC; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS