Article 1 - 1% R&R plan too much? Not enough?
Concerned a 1% R&R rate for your water pipes is too much? Consider an alternative approach that can save up to 80% in R&R over the next 12 years. Read more....
Article 2 - Desktop scoring vs. advanced analytics to determine the LOF of a pipe
Are you still using Desktop Scoring to assess the Likelihood of Failure of pipes? Machine Learning is a better alternative, more accurate, easier to use, affordable. Read more....
Article 3 - Case Studies - Desktop scoring vs. advanced analytics to determine the LOF of a pipe
The capacity of our machine learning model to predict breaks is up to 6 times superior to desktop scoring. Read about our 3 case studies applying machine learning to 3 systems of different size, physical condition, data quality, and break history. Read more...
Article 4 Machine Learning to Predict Water Pipe Breaks - Part 1 - Data Needed
This article defines the data needed to predict water main breaks using machine learning.
Article 5- Machine Learning to Predict Water Pipe Breaks - Part 2 - Abandoned Pipes
The reality is that you may be underestimating how soon your pipes will break if the
abandoned pipes are not taken into account in the pipe break analysis. This paper pr
Article 6- Incidental Data Issues - Missing and Incoherent Values
Pipes and breaks with issues weaken break predictions. It is therefore important to limit their number.
Article 7- Machine Learning to Predict Water Pipe Breaks - Part 2 - Abandoned Pipes
The reality is that you may be underestimating how soon your pipes will break if the
abandoned pipes are not taken into account in the pipe break analysis. This paper pr
May 2023, JAWWA Article - Predicting Pipe Breaks. Read more...