MMRCNN-KKAN-GMAT: a multi-modal multi-scale framework with KKAN attention and augmented transformer for rotating machinery fault diagnosis
To address the degradation of diagnostic accuracy caused by insufficient fault data and noise interference in practical applications, a novel rotating machinery fault diagnosis framework is introduced in this work. First, the one-dimensional raw signals, envelope signals, and two-dimensional continuous wavelet transfor...