Browsing Theses by Subject "asset management"
Now showing items 1-6 of 6
-
Automating Water Capital Activities Using Naïve Bayes Classifier with Supervised Learning Algorithm
(University of Waterloo, 2021-08-09)Municipal governments have the responsibility to provide safe drinking water to residents. Maintaining water infrastructure systems to keep a certain level of service is a vital service. It is possible by assessing all ... -
Digital Twin Framework and Auto-Linking for Management of Legacy Assets
(University of Waterloo, 2021-04-30)The integration of Digital Twins (DTs) for facility and asset management is becoming increasingly common with the advancement of sensor and modelling technology. A digital twin is defined as a responsive and virtual ... -
Enabling the Integration of Ecosystem Service-based Approaches into Planning Organizations: Municipal Natural Asset Management
(University of Waterloo, 2019-12-06)This research seeks to help bridge the gap between science and practice around the integration of ecosystem service-based approaches within municipal planning. This thesis identified enablers of organizational change needed ... -
Integrated Asset Management Framework and Model for Water Distribution Networks
(University of Waterloo, 2020-05-28)The Canadian Infrastructure Report Card (2012) estimates the replacement value of water assets to be $362 billion. Water distribution and wastewater collection networks have been in service for more than a century in the ... -
Life cycle sustainability assessment of asset management plans for municipal wastewater systems
(University of Waterloo, 2019-01-24)Municipal governments have the responsibility to provide safe drinking water and handle polluted water to protect their citizen’s health and safety. Maintaining water infrastructure systems, including wastewater collection ... -
Pavement Performance Prediction Using Machine Learning and Instrumentation in Smart Pavement
(University of Waterloo, 2022-09-19)The optimization of pavement Maintenance and Rehabilitation (M&R) planning and costs has been historically proven as a complex task. In recent years, Artificial Intelligence (AI) and Machine Learning (ML) applications in ...