DExulans / fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEWLinks
基于LabVIEW,可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图
☆16Updated 5 years ago
Alternatives and similar repositories for fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW
Users that are interested in fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW are comparing it to the libraries listed below
Sorting:
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 5 years ago
- ☆23Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆28Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- ☆10Updated 5 years ago
- ☆64Updated 4 years ago
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 3 years ago
- ☆56Updated 3 years ago
- ☆17Updated 4 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆96Updated 6 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- 论文《基于机理模型的旋转机械领域自适应故障诊断》验证案例的代码和数据☆10Updated 4 years ago
- 🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees☆34Updated 4 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆103Updated 5 years ago
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆27Updated 3 years ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆21Updated 6 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆32Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 3 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 4 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- fault_diagnosis☆19Updated 6 years ago
- data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"☆20Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Updated 6 years ago
- ☆23Updated 4 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago