A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery

•A novel tensor domain adaptation framework is proposed for fault diagnosis of rolling bearings.•A tensor representation model is established to effectively retain and reflect the important structure and internal relationship of multidimensional data.•This work constructs a third-order tensor model by treating the time domain signals, frequency domain signals, and Hilbert marginal spectrum.