연구 분야: Verification
학회: AIAM2020: Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture
Portal slewing crane has long service time and bad working environment. The stress level of whole crane is directly related to the man-machine safety in the production. Aiming at portal slewing cranes with different service life, this paper selects high-stress measure points by means of counting multi-detection data, determines the relationship between overall stress level and service life, and further mines the distribution law and stress performance characteristics of high-stress measure points at various positions on cranes with different service life.
| 발행 연도 | 2020년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | China |
| 사이트 | ACM |
| 좋아요 수 | 0 |