Applying Artificial Intelligence (AI) for Predictive Maintenance of Power Distribution Networks: A Case Study of Al Ain Distribution Company

This paper presents the initial stage of the new initiative of applying Artificial Intelligence (AI) for the predictive maintenance in the Al Ain Distribution Company (AADC). The paper first describes the maintenance methods and types applied in AADC, and the current practices related to data-collection, data-processing, decisions-making and condition-monitoring. Detailed analysis and mapping of input-output data processes are carried out for various predictive maintenance-related attributes. The paper proposes a new AI interactive screen, including online dashboard and data analytics, to ease, integrate and automate the data collection/processing/decision-making for related predictive maintenance attributes. The paper also addresses the current AI challenges of data collection/processing/decision-making, data availability/accuracy as well as data interaction and integration issues. The results of the initial stage of applying AI in predictive maintenance show that many AI applications and proposals can be adopted, such as asset's health-index (assets condition code), ageing, condition-monitoring, peak load, planning/scheduling maintenance programs, etc.