ZongSingHuang / Multi-Strategy-Ensemble-Whale-Optimization-AlgorithmLinks
X. Yuan, Z. Miao, Z. Liu, Z. Yan and F. Zhou, "Multi-Strategy Ensemble Whale Optimization Algorithm and Its Application to Analog Circuits Intelligent Fault Diagnosis", Applied Sciences, vol. 10, no. 11, p. 3667, 2020.
☆33Updated 3 years ago
Alternatives and similar repositories for Multi-Strategy-Ensemble-Whale-Optimization-Algorithm
Users that are interested in Multi-Strategy-Ensemble-Whale-Optimization-Algorithm are comparing it to the libraries listed below
Sorting:
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆33Updated 3 years ago
- A collection of Fault Diagnosis python codes☆10Updated 3 years ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆23Updated 3 years ago
- 利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优☆47Updated 5 years ago
- ☆57Updated 8 months ago
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 3 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆28Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆33Updated last month
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆103Updated 5 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- ☆27Updated last month
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）☆86Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆27Updated 3 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 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
- CEEMDAN-VMD-TCN-GRU&RF model☆15Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- ☆65Updated 5 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆17Updated 5 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆37Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆61Updated 2 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Updated 4 years ago
- ☆12Updated 4 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆19Updated 5 years ago
- This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines☆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
- ☆23Updated last year
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 3 years ago