BadUncleBoy / Alternator_analysisLinks
依据发电机电流预测发电机故障以及故障时间
☆14Updated 5 years ago
Alternatives and similar repositories for Alternator_analysis
Users that are interested in Alternator_analysis are comparing it to the libraries listed below
Sorting:
- LSTM和SVM实现设备故障诊断☆50Updated 6 years ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆195Updated 5 years ago
- Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface☆49Updated 3 years ago
- 包含一些比较常见的数据挖掘竞赛或者项目的源码☆130Updated 6 years ago
- 基于深度学习机械设备故障诊断模型☆169Updated 7 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆32Updated 6 years ago
- 轴承故障检测 训练赛第30名代码☆131Updated 6 years ago
- 这是我的毕业设计,本人本科机械,但是读直博到计算机,所以毕业设计双向都有涉及。权当是练手之作了,请勿见笑☆80Updated 7 years ago
- 这个仓库主要包含了LSTM、卷积神经网络中,注意力机制的实现。☆132Updated 4 years ago
- 毕设研究课题:根据轴承的振动序列数据来诊断轴承故障。☆127Updated 4 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 5 years ago
- 1D CNN for CWRU rolling bearings dataset☆41Updated 7 years ago
- 利用西储大学开源的轴承故障数据,开发简单的人工神经网络,以实现对轴承故障的检测及识别。☆49Updated 4 years ago
- 基于深度学习的滚动轴承故障诊断方法☆195Updated 6 years ago
- 使用TensorFlow建立简单的轴承故障诊断模型☆103Updated 7 years ago
- 故障诊断方面的论文阅读☆16Updated 5 years ago
- 在校双创项目中基于LSTM开发的一款计算机故障预测与诊断专家系统,系统框架使用springboot,推理机使用keras,故障诊断正确率可以达到80%+,主要用于诊断时序参数表现出线性规律的计算机故障。☆13Updated 4 years ago
- fault detection in wind turbines☆16Updated 4 years ago
- 轴承故障诊断实验 17级15组☆14Updated 5 years ago
- 轴承故障诊断☆96Updated 3 years ago
- 毕设-设备故障预测系统☆38Updated 6 years ago
- 电力系统短期负荷预测☆44Updated 4 years ago
- ☆61Updated 6 years ago
- 由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接☆153Updated 2 years ago
- 基于深度学习的多特征电力负荷预测☆141Updated 5 years ago
- 基于小波与卷积神经网络的多尺度时间序列分类☆20Updated 7 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 6 years ago
- ☆11Updated 6 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆45Updated 4 years ago
- Siddhartha80 / AI-Powered-Predictive-Maintenance-System-for-Vehicles-with-Real-Time-Data-Visualization-and-AnalysisGradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆16Updated 9 months ago