Utility Criticality Assessment: An Application of Artificial Neural Network in Asset Management

Description:Utility criticality assessment: an application of artificial neural network in asset management. Presenter: Alexander Kolesov, M.Sc., AECOM. Additional Contributors: Jonathan Welke, P.Eng., Drainage Engineer, City of Kamloops. Accurate criticality assessment methodology can significantly reduce infrastructure maintenance and renewal budgets by focusing asset management practices only on critical assets. Application of Artificial Neural Network (ANN) methodology for criticality assessment can provide more precise and effective asset management decisions. ANN are universal and highly flexible models widely used in the fields of cognitive science and engineering. In asset management they can be used to replace traditional linear asset criticality models which are based on various input factors with predetermined weightings. A trained neural network can be thought of as an "expert" in the category of information it has been given to analyse. During the criticality workshop, an agreed list of inputs and their data sources for the criticality model, and a sample of asset criticality outputs have been determined for the City of Kamloops’ water, wastewater and drainage assets. These inputs and outputs were used to train an ANN model to determine the relationship and weightings of the various inputs and model the criticality outcomes in order to provide insight into the importance of various factors for assessing criticality, and allow the City to focus their efforts on improving the accuracy and confidence of these inputs. The advantage of this approach is that the criticality model can be re-tuned as the City’s priorities change in the future, and the model can be used for other asset types to provide a robust and objective methodology for determining criticality.

Authors: Alexander Kolesov

Subjects: Asset Management

Tags:AC15,AC15 presentations,2015 BCWWA Annual Conference & Trade Show

Citation:Stream 4: Sustainable Utility Management

Publication Date:May 29th, 2015 Upload Date:Jun 26th, 2015

Resource Library



User Login
Enter your e-mail below and click the "Submit" button. If you are in our database, your login and password will be sent to you immediately.
InstructorNet Login
Enter your e-mail below and click the "Submit" button. If you are in our database, your login and password will be sent to you immediately.
DirectorNet Login