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| Content Provider | IET Digital Library |
|---|---|
| Author | Chen, Tao Wang, Li yong Gu, Yuhai Tang, Changliang |
| Abstract | Wear is the main influential reason for the reliability and service life of machinery and the inductive monitoring is the most research and application of online ferromagnetic debris detection for its unique characteristics. In the electromagnetic characteristics analysis of the wear debris, the numerical analysis method can directly solve the problem of electromagnetic field in the form of value, program instead of analytic form. Based on the current research on numerical analysis of electromagnetic characteristics for ferromagnetic debris, the solved problems of numerical analysis are analysed. The core and theoretical basis of numerical analysis of electromagnetic characteristics are studied and assumptions and boundary conditions are provided. Then the present problems and future development trend of the numerical analysis of electromagnetic characteristics for ferromagnetic wear debris are discussed. |
| Starting Page | 8715 |
| Ending Page | 8719 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9090 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Electromagnetic Characteristic Analysis Electromagnetic Field Electromagnetic Induction Engineering Material Ferromagnetic Wear Debris Inductive Sonsor Lubricating Oils Mechanical Engineering Numerical Analysis Numerical Analysis Method Online Ferromagnetic Debris Detection Reliability Sensing Device And Transducers Tribology Wear |
| Content Type | Text |
| Resource Type | Article |
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