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| Content Provider | IET Digital Library |
|---|---|
| Author | Qi, Yuming Liu, Hexing Xie, Bing Deng, Sanpeng |
| Abstract | Industrial robots, as a structurally sophisticated mechatronics system, have a high cost of routine maintenance and repair. Repairs after fault require the corresponding manpower and material resources, and have hysteresis. If the fault can be predicted in a timely and accurate manner, the maintenance process can be carried out in advance, and the hidden dangers can be eliminated to fundamentally solve the fault problem. Based on the self-organised critical theory (SOC theory), this article draws lessons from its self-organisation evolution model and uses the self-organised criticality of industrial robot fault to establish an autoregressive moving average model (ARMA model) for industrial robots. According to the analysis of residual value and the explanation for the faults of industrial robots, find ways and means to prevent and reduce faults. |
| Starting Page | 8624 |
| Ending Page | 8626 |
| Page Count | 3 |
| 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.2018.9069 |
| 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 | Autoregressive Moving Average Processes Corresponding Manpower Fault Analysis Fault Problem Industrial Robot Fault Industrial Robots Maintenance Engineering Maintenance Process Material ReSource Mechatronics Repair Robotics Routine Maintenance Self-organisation Evolution Model Self-organised Critical Theory Self-organised Criticality SOC Theory Statistics Structurally Sophisticated Mechatronics System |
| Content Type | Text |
| Resource Type | Article |
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