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
- Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition☆21Updated 3 years ago
- A collection of Fault Diagnosis python codes☆10Updated 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☆49Updated 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
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆104Updated 5 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 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
- 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""☆24Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- ☆57Updated 9 months ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆33Updated 2 months ago
- ☆28Updated 2 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆23Updated 2 years ago
- data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"☆21Updated 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☆38Updated 2 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 3 years ago
- This project deals with detection and diagnosis of 7 faults of a reciprocating compressor using acoustic signals. After feature extractio…☆15Updated 3 years ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆31Updated 3 years ago
- Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks☆10Updated 2 years ago
- CEEMDAN-VMD-TCN-GRU&RF model☆15Updated last year
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆28Updated 3 years ago
- 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)☆87Updated 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
- Siamese-based ConviMixer combined with few-shot learning for classification under limited data☆26Updated 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
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- ☆65Updated 5 years ago
- ☆14Updated 3 years ago