# SEFormer: A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis

> Research article (Computers, materials & continua/Computers, materials & continua (Print), 2024) · cited 10× · AI/ML

**Wikidata**: [openalex:W4405336529](https://www.wikidata.org/wiki/openalex:W4405336529)  
**Source**: https://4ort.xyz/entity/seformer-a-lightweight-cnn-transformer-based-on-separable-multiscale-depthwise-convolution-and-efficient-self-attention-