工业方向
机器学习在制造工业中的应用主要包括质量预测、设备维护(PHM)、供需预测、计划排产(scheduling)、参数优化等方面。
时域:除了时间序列中介绍的,还包括peak2peak等
频域:傅里叶变换 ,均方根,波形,脉冲
故障预测与健康管理
通过预测性维护达到成本与安全风险的最优。
1st discussion
2nd code discussion
baseline code
kaggle-vsb-power-line-fault-detection
1st disucssion
2nd discussion
6th discussion
13rd code
baseline code
base code
6th discussion
15th code
x code
质量预测
参数缺陷
1st discussion
5th code
9th code
视觉缺陷
供需
1st discussion
25th code
1st code
优化-排产调度
base code
Reference
https://zhuanlan.zhihu.com/p/52511837
https://github.com/hustcxl?tab=stars
https://github.com/ZhaoZhibin/DL-based-Intelligent-Diagnosis-Benchmark
Industrial.Applications.of.Machine.Learning.2018.12
https://www.seeq.com/product/overview
spark cognition
Dataiku
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