DB_ML_Detección de fugas de agua.rar

This article aimed to summarize the information on "machine learning for water leak detection", for this a search was carried out in the database: scopus, web of science, sciencedirect, Springer Link, finding inclusion and exclusion criteria of 50 articles. The main results were: Which technologies are currently used for the detection of leaks from drinking water pipes, with an assessment of 51% of the articles; Which Machine Learning techniques are most effective for detecting leaks in drinking water distribution systems; what factors influence the accuracy of Machine Learning models for the detection of leaks in water networks; Which countries are currently leading research in the application of Machine Learning for leak detection in drinking water infrastructure and finally the key points were which terms with key concepts usually appear in research on the use of Machine Learning in the management of leaks in drinking water systems. In conclusion, the current ML technologies for the detection of pipe leaks is very backward in many countries, even in some there is no such system, which should be more research in countries where these leakage errors are very frequently shown