Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures
This paper presents an innovative decision support system (DSS) for prognostic and diagnostic analyses of water distribution system (WDS) failures. The framework of the DSS is based on four novel models developed and published by the authors of this paper. The four models include reliability assessm...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Netherlands
2016
|
| Online Access: | http://hdl.handle.net/1721.1/105506 https://orcid.org/0000-0002-5534-2126 |
| _version_ | 1826197838493646848 |
|---|---|
| author | Sadiq, Rehan Najjaran, Homayoun Hoorfar, Mina Rodriguez, Manuel J. Islam, Mohammad Shafiqul |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Sadiq, Rehan Najjaran, Homayoun Hoorfar, Mina Rodriguez, Manuel J. Islam, Mohammad Shafiqul |
| author_sort | Sadiq, Rehan |
| collection | MIT |
| description | This paper presents an innovative decision support system (DSS) for prognostic and diagnostic analyses of water distribution system (WDS) failures. The framework of the DSS is based on four novel models developed and published by the authors of this paper. The four models include reliability assessment model, leakage potential model, leakage detection model, and water quality failure potential model. Information obtained from these models together with external information such as customer complaints, lab test results (if any), and historical information are integrated using Dempster-Shafer (D-S) theory to evaluate prognostic and diagnostic capabilities of the DSS. The prognostic capabilities of the DSS provide hydraulic and water quality states of a WDS whereas the diagnostic capabilities of the DSS help to identify the failure location with minimal time after the occurrence and will help to reduce false positive and false negative predictions. The framework has ‘unique’ capacity to bring the modeling information (hydraulic and Quality), consumer complaints, historical failure data, and laboratory test information under a single platform to perform a prognostic and diagnostic investigation of WDS failures (hydraulic and Quality). The proof of concept of the DSS has been demonstrated using data used in published four articles. The outcomes of this research widely addressed the uncertainties associated with WDS which improves the efficiency and effectiveness of diagnosis and prognosis analyses of WDS. It is expected that the developed integrated framework will help municipalities to make informed decisions to increase the safety, reliability and the security of public health. |
| first_indexed | 2024-09-23T10:54:35Z |
| format | Article |
| id | mit-1721.1/105506 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:54:35Z |
| publishDate | 2016 |
| publisher | Springer Netherlands |
| record_format | dspace |
| spelling | mit-1721.1/1055062022-09-30T23:50:50Z Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures Sadiq, Rehan Najjaran, Homayoun Hoorfar, Mina Rodriguez, Manuel J. Islam, Mohammad Shafiqul Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Islam, Mohammad Shafiqul This paper presents an innovative decision support system (DSS) for prognostic and diagnostic analyses of water distribution system (WDS) failures. The framework of the DSS is based on four novel models developed and published by the authors of this paper. The four models include reliability assessment model, leakage potential model, leakage detection model, and water quality failure potential model. Information obtained from these models together with external information such as customer complaints, lab test results (if any), and historical information are integrated using Dempster-Shafer (D-S) theory to evaluate prognostic and diagnostic capabilities of the DSS. The prognostic capabilities of the DSS provide hydraulic and water quality states of a WDS whereas the diagnostic capabilities of the DSS help to identify the failure location with minimal time after the occurrence and will help to reduce false positive and false negative predictions. The framework has ‘unique’ capacity to bring the modeling information (hydraulic and Quality), consumer complaints, historical failure data, and laboratory test information under a single platform to perform a prognostic and diagnostic investigation of WDS failures (hydraulic and Quality). The proof of concept of the DSS has been demonstrated using data used in published four articles. The outcomes of this research widely addressed the uncertainties associated with WDS which improves the efficiency and effectiveness of diagnosis and prognosis analyses of WDS. It is expected that the developed integrated framework will help municipalities to make informed decisions to increase the safety, reliability and the security of public health. Natural Sciences and Engineering Research Council of Canada (NSERC-SPG (Strategic Project Grants)) 2016-12-01T21:08:57Z 2017-03-01T16:14:47Z 2016-04 2015-10 2016-08-18T15:20:06Z Article http://purl.org/eprint/type/JournalArticle 0920-4741 1573-1650 http://hdl.handle.net/1721.1/105506 Islam, M. Shafiqul, Rehan Sadiq, Manuel J. Rodriguez, Homayoun Najjaran, and Mina Hoorfar. “Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures.” Water Resources Management 30, no. 8 (April 12, 2016): 2831–2850. https://orcid.org/0000-0002-5534-2126 en http://dx.doi.org/10.1007/s11269-016-1326-6 Water Resources Management Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Springer Science+Business Media Dordrecht application/pdf Springer Netherlands Springer Netherlands |
| spellingShingle | Sadiq, Rehan Najjaran, Homayoun Hoorfar, Mina Rodriguez, Manuel J. Islam, Mohammad Shafiqul Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title | Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title_full | Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title_fullStr | Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title_full_unstemmed | Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title_short | Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures |
| title_sort | integrated decision support system for prognostic and diagnostic analyses of water distribution system failures |
| url | http://hdl.handle.net/1721.1/105506 https://orcid.org/0000-0002-5534-2126 |
| work_keys_str_mv | AT sadiqrehan integrateddecisionsupportsystemforprognosticanddiagnosticanalysesofwaterdistributionsystemfailures AT najjaranhomayoun integrateddecisionsupportsystemforprognosticanddiagnosticanalysesofwaterdistributionsystemfailures AT hoorfarmina integrateddecisionsupportsystemforprognosticanddiagnosticanalysesofwaterdistributionsystemfailures AT rodriguezmanuelj integrateddecisionsupportsystemforprognosticanddiagnosticanalysesofwaterdistributionsystemfailures AT islammohammadshafiqul integrateddecisionsupportsystemforprognosticanddiagnosticanalysesofwaterdistributionsystemfailures |