The occurrence of pipe failures in water networks cause major technical, economic and socio-economic impacts. Thus, comprehensible and reliable failure prediction models are required for operational and strategic planning purposes in order to guarantee a sustainable water network development. A lot of research work has been done in this field and the developed failure prediction models can be applied under various circumstances. However, most of the existing models have two major limitations: they consider a static state of the network without taking future developments into account, and they can hardly be applied to networks where only limited data on single pipe level is available. This paper describes a failure prediction model on the network and pipe type level, which is integrated in the KANEW framework for strategic rehabilitation planning. First testing results with this approach are promising.
Skip Nav Destination
Article navigation
Research Article|
September 01 2005
Integrated failure forecasting model for the strategic rehabilitation planning process
I. Kropp;
*TU Dresden, Chair of Urban Engineering, D-01062 Dresden, Germany, (E-mail: [email protected]);
**INFRA-REHAB Ingenieur Consult, Hohe Str. 46B, D-01187 Dresden, (E-mail: [email protected])
E-mail: [email protected]
Search for other works by this author on:
R. Baur
R. Baur
*TU Dresden, Chair of Urban Engineering, D-01062 Dresden, Germany, (E-mail: [email protected]);
**INFRA-REHAB Ingenieur Consult, Hohe Str. 46B, D-01187 Dresden, (E-mail: [email protected])
Search for other works by this author on:
Water Supply (2005) 5 (2): 1–8.
Citation
I. Kropp, R. Baur; Integrated failure forecasting model for the strategic rehabilitation planning process. Water Supply 1 September 2005; 5 (2): 1–8. doi: https://doi.org/10.2166/ws.2005.0015
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00