aresmiki / A-case-of-the-intelligent-bearing-fault-diagnosisLinks
This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out
☆53Updated 4 years ago
Alternatives and similar repositories for A-case-of-the-intelligent-bearing-fault-diagnosis
Users that are interested in A-case-of-the-intelligent-bearing-fault-diagnosis are comparing it to the libraries listed below
Sorting:
- ☆87Updated 3 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆61Updated 7 years ago
- Siamese network for bearing fault diagnosis☆92Updated 5 years ago
- ☆112Updated 3 years ago
- 轴承故障检测 训练赛第30名代码☆136Updated 6 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆59Updated last year
- ☆62Updated 6 years ago
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断☆237Updated 2 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。☆133Updated 4 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆129Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- A Python clone of the Matlab Kurtogram function☆17Updated 6 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆27Updated 6 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆151Updated 5 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 8 years ago
- Vibrational Analysis for CWRU Bearing Dataset☆29Updated 3 years ago
- ☆21Updated 5 years ago
- 基于深度学习的滚动轴承故障诊断方法☆211Updated 6 years ago
- ☆214Updated 6 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆187Updated 3 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
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆27Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 7 months 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
- 基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法☆10Updated 6 years ago
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆19Updated 5 years ago
- 轴承故障诊断☆118Updated 3 years ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆73Updated 5 months ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago