Towards Predictive Modeling of Time to Sewer Pipe Failure: A Preliminary Exploratory Study Combining Statistical Analysis and AI Techniques

Key Points

• Predictive modeling of sewer pipe failure may enable improved maintenance scheduling, enhancing service longevity.
• Statistical analysis and AI techniques are integrated to assess and predict failure timelines effectively.
• The observational analysis sought to identify key factors influencing sewer pipe integrity and failure risk.
• This approach highlights the importance of innovative predictive methods for advancing urban infrastructure assessments.