ecstayalive / SparrowLinks
This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is particularly good, and they can detect small bugs. Besides, they are cute too. In the current version, we have tested some planetary gearbox vibration data in the lab, and there are 8 error types in total. And us…
☆13Updated last year
Alternatives and similar repositories for Sparrow
Users that are interested in Sparrow are comparing it to the libraries listed below
Sorting:
- Vibration Analysis for Fault Detection using STFT, FFT in Python☆22Updated 2 years ago
- 帮同学做的轴承故障检测的代码☆18Updated 3 years ago
- Lab-scale Vibration Analysis Dataset and Its Machine Learning Methods☆26Updated 2 months 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
- 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
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆48Updated 2 years ago
- 采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN),对采样的轴承震动时间序列数据分析,进行滚动轴承故障诊断。其中,对HVG中两节点的边,以节点距离的倒数作为权重进行加权,以削弱噪声节点对其他距离较远节点的影响。☆40Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆173Updated 3 years ago
- ☆85Updated 2 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 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
- The relevant codes and more comparison results of "Physics-informed machine learning for tool wear monitoring".☆16Updated 3 years ago
- 轴承故障诊断☆96Updated 2 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆45Updated 4 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
- 西储大学轴承数据集故障诊断的仿真平台☆120Updated 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
- Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface☆49Updated 3 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆29Updated 2 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆31Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- ☆40Updated 3 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆35Updated last year
- BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that …☆11Updated last year
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 5 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆110Updated 8 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox☆38Updated 2 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆84Updated last year
- 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