A hierarchy of change-point methods for estimating the time instant of leakages in water distribution networks

IFIP Advances in Information and Communication Technology

Volumn 412, Issue , 2013, Pages 615-624

  Boracchi, Giacomo ^a   Puig, Vicenç ^b   Roveri, Manuel ^a  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Change point estimation; Leakages in water distribution networks; Nonstationarity detection

Indexed keywords

ARTIFICIAL INTELLIGENCE;

CHANGE POINT ESTIMATION; CHANGE-POINTS; EUROPEAN CITIES; MINIMUM NIGHT FLOW; NETWORK MODELING; NONSTATIONARITY DETECTIONS; WATER - SAVINGS; WATER DISTRIBUTION NETWORKS;

WATER DISTRIBUTION SYSTEMS;

EID: 84894063530     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-41142-7_62     Document Type: Conference Paper

References (17)

1. Puust, R., Kapelan, Z., Savic, D.A., Koppel, T.: A review of methods for leakage management in pipe networks. Urban Water Journal 7(1), 25-45 (2010).
2. Khulief, Y., Khalifa, A., Mansour, R., Habib, M.: Acoustic detection of leaks in water pipelines using measurements inside pipe. Journal of Pipeline Systems Engineering and Practice 3(2), 47-54 (2012).
3. Lambert, M., Simpson, A., Vítkovský, J., Wang, X.J., Lee, P.: A review of leading-edge leak detection techniques for water distribution systems. In: 20th AWA Convention, Perth, Australia (2003).
4. Lambert, A.:What do we know about pressure: leakage relationships in distribution systems? In: IWA Conference System Approach to Leakage Control and Water Distribution System Management, Brno, Czech Rebublic (2001).
5. Thornton, J., Lambert, A.: Progress in practical prediction of pressure: leakage, pressure: burst frequency and pressure: consumption relationships. In: Leakage 2005 Conference Proceedings, Halifax, Canada (2005).
6. Pérez, R., Puig, V., Pascual, J., Quevedo, J., Landeros, E., Peralta, A.: Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks. Control Engineering Practice 19(10), 1157-1167 (2011).
7. Eliades, D.G., Polycarpou, M.M.: Leakage fault detection in district metered areas of water distribution systems. Journal of Hydroinformatics 14(4), 992-1002 (2012).
8. Pettitt, A.N.: A Non-Parametric Approach to the Change-Point Problem. Applied Statistics 28(2), 126-135 (1979).
9. Hawkins, D.M., Qiu, P., Kang, C.W.: The changepoint model for statistical process control. Journal of Quality Technology 35(4), 355-366 (2003).
10. Ross, G.J., Tasoulis, D.K., Adams, N.M.: Nonparametric monitoring of data streams for changes in location and scale. Technometrics 53(4), 379-389 (2011).
11. Alippi, C., Boracchi, G., Puig, V., Roveri, M.: An ensemble approach to estimate the faulttime instant. In: Proceedings of the 4th International Conference on Intelligent Controland Information Processing, ICICIP 2013 (2013).
12. Mood, A.M.: On the asymptotic efficiency of certain nonparametric two-sample tests. The Annals of Mathematical Statistics 25(3), 514-522 (1954).
13. Hawkins, D.M., Zamba, K.D.: A change-point model for a shift in variance. Journal of Quality Technology 37(1), 21-31 (2005).
14. Zamba, K.D., Hawkins, D.M.: A multivariate change-point model for statistical process control. Technometrics 48(4), 539-549 (2006).
15. Ross, G., Adams, N.M.: Two nonparametric control charts for detecting arbitrary distribution changes. Journal of Quality Technology 44(22), 102-116 (2012).
16. Mann, H.B., Whitney, D.R.: On a Test ofWhether one of Two Random Variables is Stochastically Larger than the Other. The Annals of Mathematical Statistics 18(1), 50-60 (1947).
17. Ross, G.J.: Parametric and nonparametric sequential change detection in R: The cpm package. Journal of Statistical Software (forthcoming).