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-CSDN-code

CSDN中的代码 在github中建立仓库存储

由于网站原因,下面单项链接已经失效。大家可以在新的链接寻找全部相关作品。

https://mbd.pub/o/author-aGWUk2xoYw==/work

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信号分解

  1. ICEEMDAN/CEEMDAN:https://mianbaoduo.com/o/bread/YZ2TmZZv

  2. EMD/EEMD:https://mianbaoduo.com/o/bread/YZ2TmZhq

  3. FEEMD:https://mianbaoduo.com/o/bread/YZ2Tmptu

  4. MEEMD:https://mianbaoduo.com/o/bread/YZ2Uk5xu

  5. EMD分解/希尔伯特谱、边际谱、包络信号、计算画图代码(matlab):https://mianbaoduo.com/o/bread/YZ2Ulpxv

  6. VMD分解 原始版本:https://mianbaoduo.com/o/bread/YpaZmJpv

  7. VMD分解(一):最优变分模态分解(OVMD)---VMD分解的基础上确定分解层数和更新步长:https://mianbaoduo.com/o/bread/YpaZmZhp

  8. VMD分解(二):通过样本熵(SE)确定VMD分解层数:https://mianbaoduo.com/o/bread/YpqYmJ5u

  9. VMD分解(三):通过一定准则(公式标准):https://mianbaoduo.com/o/bread/YpqYmZty

10、VMD分解(四):通过原始信号和分解信号之间的MAPE判断:https://mianbaoduo.com/o/bread/YpqZlpdy

美国西储大学轴承数据;因为故障数据的采集位置和频率不同,所以分开,各取所需。

1、西储大学轴承数据---驱动端轴承故障数据(采样频率12K):https://mianbaoduo.com/o/bread/YZyclZhp

2、西储大学轴承数据---驱动端轴承故障数据(采样频率48K);数据集1(109-190):https://mianbaoduo.com/o/bread/YZyclZhr

3、西储大学轴承数据---驱动端轴承故障数据(采样频率48K);数据集1(191-265):https://mianbaoduo.com/o/bread/YZyclZhv

4、西储大学轴承数据---风扇端轴承故障数据(采样频率12K):https://mianbaoduo.com/o/bread/YZyclZhx

5、西储大学轴承数据---正常基线数据:https://mianbaoduo.com/o/bread/YZyclZlp

6、西储大学轴承数据---数据介绍及其轴承参数表:https://mianbaoduo.com/o/bread/YZyclZlq

各种智能算法(不断更新中)

单目标:

1、蚁狮优化算法(ALO):https://mianbaoduo.com/o/bread/YZ2clJ1p

2、蜻蜓优化算法(DA):https://mianbaoduo.com/o/bread/YZ6Ulp9r

3、蝗虫/蚱蜢优化算法(GOA算法):https://mianbaoduo.com/o/bread/YZ6Ulp9s

4、黄金正弦(Gold-SA)算法:https://mianbaoduo.com/o/bread/YZ6Ulp9u

5、飞蛾火焰优化(MFO)算法:https://mianbaoduo.com/o/bread/YZ6Ulp9x

6、多元宇宙优化算法(MVO)算法:https://mianbaoduo.com/o/bread/YZ6Vk5dt

7、正弦余弦算法(SCA)算法:https://mianbaoduo.com/o/bread/YZ6Vk5du

8、樽海鞘(SSA)算法:https://mianbaoduo.com/o/bread/YZ6Vk5dv

多目标:

1、多目标灰狼优化算法(MOGWO):https://mianbaoduo.com/o/bread/YZ6Vk5hp

2、多目标蜻蜓(MODA)优化算法:https://mianbaoduo.com/o/bread/YZ6Vk5hq

3、多目标蚁狮(MOALO)优化算法:https://mianbaoduo.com/o/bread/YZ6Vk5hu

4、多目标 多元宇宙优化算法(MVO):https://mianbaoduo.com/o/bread/YZ6Vk5dy

5、多目标粒子群(MOPSO)优化算法:https://mianbaoduo.com/o/bread/YZ6Vk5hw

6、多目标樽海鞘(MSSA)优化算法:https://mianbaoduo.com/o/bread/YZ6Vk5hx

7、NSGA-II多目标遗传算法:https://mianbaoduo.com/o/bread/YZ6Vk5lp

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Contributors

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