An exploratory architecture using data and knowledge to close the loop between design and Maintenance from a product quality perspective

Abstract

Products for personalization require frequent dynamic interactions at all stages of the entire lifecycle. Based on this, the researchers have been studying closed-loop product lifecycle management. However, most of them often focus on the strategic and conceptual levels and ignore the technical details of implementation. From a product quality perspective, a three-tier architecture using data and knowledge to close the loop between design, operation, and maintenance (O&M) is proposed to deal with this problem. FMECA automation enabled by industrial knowledge graph and construction of Bayesian network for failure propagation is introduced in detail to enhance efficient integration of design and maintenance phases. A proof-of-concept simulation based on an electromechanical actuator validates the applicability and efficiency of the proposed method, showing a closed-loop optimization of design and O&M services. This article potentially enables manufacturers to implement the linkage of design and O&M service business.