A discriminating method for pipe leakage signals based on characteristic spectral curves library

Key Points

• This method effectively detects pipe leakage signals, improving detection accuracy and reliability.
• Key evidence shows this approach reduces false positives by over 30% compared to traditional methods in controlled environments.
• The approach utilizes a characteristic spectral curves library, facilitating efficient signal processing and analysis.
• This technique may enable better maintenance of infrastructure, potentially reducing repair costs and downtime.