Planetary gearbox fault diagnosis based on FDKNN-DGAT with few labeled data

• Published in: Measurement science & technology Vol. 35; no. 2; p. 25036
• Main Authors: Tao, Hongfeng, Shi, Haojin, Qiu, Jier, Jin, Guanghu, Stojanovic, Vladimir
• Format: Journal Article
• Language: English
• Published: 01.02.2024

Although data-driven methods have been widely used in planetary gearbox fault diagnosis, the difficulty and high cost of manual labeling leads to little labeled training data, which limits the classification performance of traditional data-driven methods. Therefore, the semi-supervised fault diagnos...