Published September 1, 2018
| Version v1
Journal article
Coupling Faults Diagnosis of a Gear-Shaft-Bearing System with Crack and Tooth Wear Faults
Creators
- 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/417/1/012022Additional details
Identifiers
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