Condition Assessment of Buried Pipes Using Hierarchical Evidential Reasoning Model

Effective inspection and monitoring practices for the condition assessment of pipes ensure better decision(s) for repair or replacement before they fail. Pipe deterioration is a physical manifestation of the aging process in which many factors can contribute to structural failure. Various technologies/ techniques have been developed during the last few years to inspect/monitor piping systems, but how to intelligently interpret the collected data remains a challenge. In this paper, a new approach based on hierarchical evidential reasoning is proposed. This approach uses Dempster – Shafer (D-S) theory to make inferences for condition assessment of buried pipes. A hierarchical evidential reasoning model can help combine different distress indicators (bodies of evidence) at different hierarchical levels using D-S rule of combination. The proposed hierarchical evidential reasoning method is demonstrated with an example of condition assessment for a large diameter pipe. Information from multiple sources is fused to obtain a more reliable assessment of pipe deterioration.

[1]  Kaspar Althoefer,et al.  State of the art in sensor technologies for sewer inspection , 2002 .

[2]  Sunil K. Sinha STATE-OF-THE-ART IN SENSOR TECHNOLOGIES , 2003 .

[3]  Xianfeng Fan,et al.  Fault diagnosis of machines based on D-S evidence theory. Part 1: D-S evidence theory and its improvement , 2006, Pattern Recognit. Lett..

[4]  Jung-Min Yang,et al.  Fault-tolerant gaits of quadruped robots for locked joint failures , 2002 .

[5]  K. V. Pagalthivarthi,et al.  Bayesian Network for E/M Impedance-Based Damage Identification , 2006 .

[6]  Dulcy M. Abraham,et al.  NEURO-FUZZY APPROACHES FOR SANITARY SEWER PIPELINE CONDITION ASSESSMENT , 2001 .

[7]  Catherine K. Murphy Combining belief functions when evidence conflicts , 2000, Decis. Support Syst..

[8]  Lian-zeng Zhang,et al.  Representation, independence, and combination of evidence in the Dempster-Shafer theory , 1994 .

[9]  Rehan Sadiq,et al.  Estimating risk of contaminant intrusion in water distribution networks using Dempster–Shafer theory of evidence , 2006 .

[10]  Toshiyuki Inagaki Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory , 1991 .

[11]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[12]  Nii O. Attoh-Okine,et al.  Use of Belief Function in Brownfield Infrastructure Redevelopment Decision-Making , 2001 .

[13]  Daniel L. Civco,et al.  Evidential Reasoning-Based Classification of Multi-Source Spatial Data for Improved Land Cover Mapping , 1994 .

[14]  Jon Makar,et al.  Inspecting systems for leaks, pits, and corrosion , 1999 .

[15]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[16]  Sunil K. Sinha A Multi-Sensory Approach to Structural Health Monitoring of Buried Sewer Pipelines Infrastructure System , 2004 .

[17]  Florentin Smarandache,et al.  Advances and Applications of DSmT for Information Fusion (Collected Works) , 2004 .

[18]  Tara C. Hutchinson,et al.  Improved image analysis for evaluating concrete damage , 2006 .

[19]  D. Dubois,et al.  On the Combination of Evidence in Various Mathematical Frameworks , 1992 .

[20]  R. Yager On the dempster-shafer framework and new combination rules , 1987, Inf. Sci..

[21]  Philippe Smets,et al.  The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  B. Rajani Towards pro-active rehabilitation planning of water supply systems , 2002 .

[23]  Bernard A. Engel Evidential reasoning for assessing environmental impact , 1996 .

[24]  George Morcous,et al.  Case-Based Reasoning System for Modeling Infrastructure Deterioration , 2002 .

[25]  John P. Davis,et al.  An argumentation-based method for managing complex issues in design of infrastructural systems , 2006, Reliab. Eng. Syst. Saf..

[26]  Kari Sentz,et al.  Combination of Evidence in Dempster-Shafer Theory , 2002 .

[27]  Jian-Bo Yang,et al.  On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[28]  Existing Sewer Evaluation,et al.  Existing sewer evaluation and rehabilitation , 2009 .

[29]  Krystyna Kuźniar,et al.  Neural Networks and Principal Component Analysis for Identification of Building Natural Periods , 2006 .

[30]  Rehan Sadiq,et al.  Translation of pipe inspection results into condition ratings using the fuzzy synthetic evaluation technique , 2006 .

[31]  B. Jay Schrock Existing Sewer Evaluation and Rehabilitation , 1994 .

[32]  Homayoun Najjaran,et al.  Fuzzy Expert System to Assess Corrosion of Cast/Ductile Iron Pipes from Backfill Properties , 2006, Comput. Aided Civ. Infrastructure Eng..