预测性维护:一个笔记本系列教程,用于使用机器学习进行预测性维护

时间:2024-02-25 07:51:20
【文件属性】:

文件名称:预测性维护:一个笔记本系列教程,用于使用机器学习进行预测性维护

文件大小:2.12MB

文件格式:ZIP

更新时间:2024-02-25 07:51:20

iot r monitoring analytics predictive

预测性维护:一个笔记本系列教程,用于使用机器学习进行预测性维护


【文件预览】:
Predictive-Maintenance-master
----.ipynb_checkpoints()
--------Predictive Maintenance - SPC-checkpoint.ipynb(395KB)
--------dry run-checkpoint.csv(235KB)
--------install-checkpoint.R(247B)
----Remaining Useful Life()
--------RUL-Data.csv(46KB)
----dry run.csv(235KB)
----imbalance 1.csv(329KB)
----Predictive-Maintenance.Rproj(205B)
----runtime.txt(13B)
----Anomaly Detection()
--------.ipynb_checkpoints()
--------Predictive maintenance - Fault Detection.ipynb(132KB)
--------Predicve Maintenance - Isolation Forest.ipynb(149KB)
--------untitled.txt(0B)
--------Predicve Maintenance - Auto Encoder.ipynb(123KB)
--------README.md(2KB)
--------Predicve Maintenance - one-class SVM.ipynb(27KB)
----base.csv(385KB)
----Predictive Maintenance - Data Imputation.ipynb(200KB)
----install.R(246B)
----LICENSE(1KB)
----Fault Classification()
--------.ipynb_checkpoints()
--------Predictive Maintenance - Deep Learning.ipynb(326KB)
--------Predictive Maintenance - Machine Learning.ipynb(45KB)
--------Predictive Maintenance - Ensemble Modeling.ipynb(28KB)
----README.md(2KB)
----Predictive Maintenance - SPC.ipynb(395KB)
----.gitignore(581B)
----imbalance 2.csv(327KB)

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