Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm.

A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.

A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model.