huster123 / 1d-based-DCNNLinks
一维卷积网络用于航空发动机剩余寿命预测
☆32Updated 6 years ago
Alternatives and similar repositories for 1d-based-DCNN
Users that are interested in 1d-based-DCNN are comparing it to the libraries listed below
Sorting:
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 7 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆95Updated 5 years ago
- ☆66Updated 4 years ago
- 基于深度学习的机械设备故障诊断方法研究☆41Updated 3 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆32Updated 5 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆42Updated 4 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆167Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆151Updated 3 years ago
- 完整的航空发动机一维卷积神经网络训练模型☆59Updated 6 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- 轴承故障检测 训练赛第30名代码☆130Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- 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
- 基于深度学习的滚动轴承故障诊断方法☆192Updated 6 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆34Updated 5 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆88Updated 6 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆290Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- 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。☆48Updated 4 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆141Updated 3 years ago
- Spark - Bearing RUL Predictions☆19Updated 8 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆116Updated 4 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆118Updated last year
- 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
- ☆56Updated 2 years ago
- ☆60Updated 5 years ago