Automatic detection of loose bolts in pipeline structures based on anti-noise mel cepstrum differential features and deep learning

Key Points

• Detection of loose bolts achieved using deep learning methods and mel cepstrum features, enhancing safety in infrastructure.
• Key metric indicates improved accuracy rates in identifying loose bolts, potentially reducing maintenance costs significantly.
• Analysis based on anti-noise mel cepstrum differential features for identifying structural weaknesses in pipeline systems.
• Highlights the importance of automated monitoring systems to ensure structural integrity and prevent accidents.