Iris time-frequency map visual feature-based cluster matching: A universal domain adaptation method for propulsion shafting fault diagnosis

Key Points

• Effective cluster matching achieved with visual feature extraction, enhancing diagnostic accuracy.
• The method utilizes time-frequency maps for improved fault diagnosis, significantly reducing errors.
• Observational analysis of time-frequency data indicates robust domain adaptation techniques applied.
• This approach may enable wider applicability in various propulsion systems and diagnostic environments.