Diesel engine small-sample transfer learning fault diagnosis algorithm based on STFT time–frequency image and hyperparameter autonomous optimization deep convolutional network improved by PSO–GWO–BPNN surrogate model

Diesel engine small-sample transfer learning fault diagnosis algorithm based on STFT time–frequency image and hyperparameter autonomous optimization deep convolutional network improved by PSO–GWO–BPNN surrogate model

Aiming at the problems of complex diesel engine cylinder head signals, difficulty in extracting fault information, and existing deep learning fault diagnosis algorithms with many training parameters, high time cost, and high data volume requirements, a small-sample transfer learning fault diagnosis...

Full description

Bibliographic Details
Main Authors: Liu Yangshuo, Kang Jianshe, Guo Chiming, Bai Yunjie
Format: Article
Language:English
Published: De Gruyter 2022-10-01
Series:Open Physics
Subjects:
fault diagnosis
transfer learning
surrogate model
hyperparameter optimization
small sample
Online Access:https://doi.org/10.1515/phys-2022-0197

Similar Items

Similar Items