Asset Integrity Management Frameworks for Industrial Facilities: A Survey

Abstract

To optimize assets and the environment, asset integrity is a continuous process of applying knowledge and skills to control risk from facility design, installation, and operation across the course of the asset's existence. The Industrial Facilities are concerned with the safe, dependable, and affordable operation of critical assets throughout their lifecycle. The paper provides a broad overview of the Asset Integrity Management (AIM) by incorporating the lifecycle management principles, risk-based approaches, and data-driven technologies. It addresses the theoretical foundations of AIM, including design and material selection, maintenance planning, inspection and monitoring, and risk assessment and life-extension strategies. An approach based on the lifecycle is highlighted to organize availability, maintainability, and safety requirements with the functional and operational requirements between the conceptual design phase and decommissioning. The unified framework assesses criticality and risk categorization with the help of the RBI, FMEA and probabilistic risk assessment. The electrical, mechanical, and electronic integrity of assets is discussed. Finally, the paper has also shown that data-driven prognostics, machine learning, sensor arrays based on IoT, and advanced signal processing are crucial in predictive maintenance and health-based monitoring. The proposed framework will contribute to the improvement of reliability, regulatory compliance and sustainable industrial activities.