CEEMDAN-MRAL Transformer Vibration Signal Fault Diagnosis Method Based on FBG

• Published in: Photonics Vol. 12; no. 5; p. 468
• Main Authors: Jiang, Hong, Wang, Zhichao, Cui, Lina, Zhao, Yihan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Accelerometers; Accuracy; Algorithms; Analysis; Bragg gratings; CNN; Demodulation; denoising algorithm; Electric transformers; Electromagnetic interference; Electromagnetism; Fault diagnosis; FBG; Fourier transforms; Methods; Neural networks; Signal processing; Signal to noise ratio; Time dependence; Time series; Venus; Vibration; Vibration analysis; Wavelet transforms

In order to solve the problem that the vibration signal of transformer is affected by noise and electromagnetic interference, resulting in low accuracy of fault diagnosis mode recognition, a CEEMDAN-MRAL fault diagnosis method based on Fiber Bragg Grating (FBG) was proposed to quickly and accurately...