Abstract: A manufacturing method for low-magnetostrictive oriented silicon steel is provided, wherein the oriented silicon steel comprises a silicon steel substrate and an insulating coating on the surface of the silicon steel substrate. The manufacturing method comprises: performing single-sided laser etching on the silicon steel substrate, wherein the side of the silicon steel substrate, on which single-sided laser etching is performed, is a first surface, and the side opposite to the first surface is a second surface; determining a deflection difference between the first surface and the second surface based on the power of the laser etching, and determining a difference in the amount of the insulating coatings on the first surface and the second surface based on the deflection difference; and forming insulating coatings on the first surface and the second surface.

Abstract: The present invention provides a dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions, including acquiring bearing vibration data under different working conditions to obtain a source domain sample and a target domain sample; establishing a deep convolutional neural network model with dynamic joint distribution alignment; feeding both the source domain sample and the target domain sample into the deep convolutional neural network model with initialized parameters, and extracting, by a feature extractor, high-level features of the source domain sample and the target domain sample; calculating a marginal distribution distance and a conditional distribution distance; obtaining a joint distribution distance according to the marginal distribution distance and the conditional distribution distance, and combining the joint distribution distance and a label loss to obtain a target function; and optimizing the target function by using SGD, and training the