Analog circuit fault diagnosis model based on WOA and improved SDAE

With the advancement of integrated circuit technology, the stable operation of electronic devices is crucial. Targeting the issue that traditional analog circuit fault diagnosis models cannot simultaneously satisfy noise resistance, stability, and accuracy in real circuit environments, this research represents an analog circuit fault diagnosis model relied on the whale optimization algorithm and an improved SDAE. The model transforms fault signals into 2D time-frequency representations using VMD and CWT to achieve initial denoising; Utilizing DSDAE for further denoising and dimensionality reduction of feature vectors; finally, RF is used for classification. The results of the simulation demonstrate that even in noisy conditions, the model can maintain excellent diagnostic accuracy and stability. making certain improvements in enhancing the operational reliability of electronic devices.