A study on the application of MLP model trained using multiple signal features in aircraft bearing fault diagnosis

• Main Author: Xu, Linhan
• Other Authors: Soong Boon Hee
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Engineering; FFT; WT; WPD; MLP; Fault diagnosis
• Online Access: https://hdl.handle.net/10356/182474
• Institution: Nanyang Technological University

At present, within intelligent bearing fault diagnosis techniques, the feature extraction phase rooted in signal processing is indispensable. This study investigates a fault diagnosis method for aircraft bearings based on a Multi-Layer Perceptron (MLP) model using voltage, current, and vibration sig...