Dynamic Risk Assessment for CBM-based adaptation of maintenance planning

This paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). This is founded on the interpretation, in terms of risk levels evolution, the available information of monitoring events and maintenance activities integrated in and that conform the condition-based maintenance (CBM) processes. DRA proposal is supported by ISO 31000 risk management framework in order to better understanding and results integration within other risk management approaches. Proposed method analyzes CBM results (monitoring events and maintenance activities) regarding their impact on failure risk level, and how to program and manage maintenance decision making (maintenance planning) regarding with dynamic risk evolution. This strategy not only helps maintenance management optimization but also facilitates the link of intelligent maintenance with global risk management within the organization, which is lined with modern Asset Management principles. To illustrate the method, an example of a real use case is presented where it is applied to the dynamic maintenance planning of a critical component in a high-speed train, and which integrates monitoring, predictive analytics and inspection data.

Automated summary

This paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). The method analyzes the impact of monitoring events and maintenance activities on failure risk and enables dynamic programming and management of maintenance decision making. It not only helps optimize maintenance management but also integrates with global risk management and modern asset management principles.