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机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration signals in the context of machine learning - an attempt using CWRU data

active 2023-08-242025-09-21 (UTC)

Complete coverage26,425 / 26,425 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
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23
Pushes
1
Pull requests
0
Issues
0
Stars
18
Forks
3

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Line chart, 760 days from 2023-08-24 to 2025-09-21. Pushes: 1 total, peak 1 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: 18 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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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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M73ACat1100

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 18 stars here means stars gained during the window, not the repo's star count.