A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine

•A symplectic geometry matrix machine (SGMM) is proposed in this paper.•The proposed SGMM method can automatically extract features with noise robustness.•The convergence problem can be avoided by constructing weight coefficient model.•SGMM method has stronger robustness and generalization ability.