Giter Site home page Giter Site logo

kios-research / leakdb Goto Github PK

View Code? Open in Web Editor NEW
35.0 7.0 18.0 72.9 MB

LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.

License: European Union Public License 1.2

Python 76.55% MATLAB 23.45%
leakage dataset benchmark

leakdb's Introduction

DOI

LeakDB

LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.

How to run a use example of the dataset

Download the folder LeakDB, set the run path in Matlab to CCWI-WDSA2018, and run main.m. This provides a user interface in Matlab where the user can run and evaluate the provided leakage detection algorithms on a limited number of scenarios on the Hanoi benchmark network.

Download the complete dataset

The LeakDB dataset is currently being expanded, as more networks, detection algorithms and features are added. The complete dataset is provided: DATASET

Cite as:

Vrachimis, S. G., Kyriakou, M. S., Eliades, D. G. and Polycarpou, M. M. (2018). LeakDB: A benchmark dataset for leakage diagnosis in water distribution networks. In Proc. of WDSA / CCWI Joint Conference (Vol. 1).

leakdb's People

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

leakdb's Issues

help,please!

I have used your project named Leakage Diagnosis. I now want to add Scenario 1 from LeakDB. My method is to import the. inp file of Scenario 1 into the network folder. Running Package_ When localizing. m, an error is reported in this line as' allParameters=d. getComputedTimeSeries'. In the source code you provided, the variable dimension in allParameters is 1x32.After I ran it, it was 17521x32. 17521 represents the number of acquisitions. I want to know how the 1x32 dimension works. I have found the reason in the eapnet. m file, but I cannot find it. I hope you can tell me the solution. Thank you

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.