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本项目提出了一种新的振动能量指标,用于量化铣削过程中的颤振和受迫振动对表面质量的影响,并结合加速度信号重建铣削表面拓扑。通过一维卷积神经网络(1D CNN)处理加速度数据,预测表面振幅、空间频率和叠加角度,进而重建表面。1160 张白光干涉图像用于训练和测试模型,重建的表面与真实表面高度匹配,Ra 预测误差小于 0.5 µm。该振动能量指标与表面粗糙度 Ra2 强�

active 2025-08-042025-12-08 (UTC)

Complete coverage26,343 / 26,343 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
Events
13
Pushes
8
Pull requests
0
Issues
0
Stars
3
Forks
0

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Line chart, 127 days from 2025-08-04 to 2025-12-08. Pushes: 8 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

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zhenzhuzz8800

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.