A Spatiotemporal Feature Fusion Soft Sensor Model for Robotic Machining 核心 · 已核验
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"The experiments were organized into four groups, using a total of 12 rotary burrs for 300 grinding operations, with each burr utilized for 25 operations. Within each group, robot speed and spindle air pressure were progressively increased during successive experimental steps. After grinding every four bars, tool wear was assessed through a dedicated test group experiment. Based on empirical analysis, two sets of process parameters were selected for an additional 25 grinding operations. A total of 350 aluminum alloy bars were processed, and both production and quality control data were recorded."
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- 落地页
- https://ieee-dataport.org/documents/spatiotemporal-feature-fusion-soft-sensor-model-robotic-machining
- 国内可访问性
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国内直连:可达 (2026-07-11 检测)
非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 发布年份
- 2025
- 发布方
- IEEE DataPort
- 设备类型
machine_tool- PHM 任务
condition_monitoring
故障工况
| description: 旋转锉磨损(12 把/300 次磨削)fault_type: wear |
溯源(8 条)
| 日期: 2026-07-08 |
| 来源链接: https://api.datacite.org/dois/10.21227/rv9r-tv82 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-11 |
| 日期: 2026-07-25 |
| 日期: 2026-07-29 |