Towards a Model-Based Systems Engineering Approach for Robotic Manufacturing Process Modelling with Automatic FMEA Generation

Abstract

The process of generating FMEA following document-centric approach is tedious and susceptible to human error. This paper presents preliminary methodology for robotic manufacturing process modelling in MBSE environment with a scope of automating multiple steps of the modelling process using ontology. This is followed by the reasoning towards automatic generation of process FMEA from the MBSE model. The proposed methodology allows to establish robust and self-synchronising links between process-relevant information, reduce the likelihood of human error, and scale down time expenses.

Extending the function failure modes taxonomy for intelligent systems with embedded AI components

“…In relation to other reference taxonomies, the main benefit of the proposed taxonomy is that it facilitates logical level analysis early in the feature development process, facilitating the collaboration of engineers belonging to different disciplinary backgrounds to work together with a common reference taxonomy and language, and maintains solution neutrality of the analysis. Another important argument for the proposed taxonomy is that it supports the integration of the FMEA analysis with MBSE representations, and the automated function failure mode reasoning for intelligent MBSE-assisted FMEA generation (Korsunovs et al, 2022). Specifically, within a detailed MBSE interface model the specification will include data type associated with the port attributes.…”

Supporting circular economy strategies for design of sustainable mechatronic systems using MBSE

“…Given that the product specification needs to satisfy the original requirements, a system analysis should be performed to confirm that the reused or repaired component, with its changed properties, does not have undesired effects on the mechatronic system level and that all functions are tested against the initial requirements. Failure Mode and Effects Analysis (FMEA) approaches, which could be enhanced with MBSE (Korsunovs et al, 2022), have also been proposed for this purpose. MBSE can manage the raised complexity due to different product variations and also aid in the validation and verification of the remanufactured product.…”

Enhancing Safety in IoT Systems: A Model-Based Assessment of a Smart Irrigation System Using Fault Tree Analysis

“…Notably, FMEA is also used for failure analysis of smart agriculture [66]. Using FMEA, critical components and functions are identified, and failure modes are evaluated based on their severity, probability of occurrence, and detectability [67,68]. The Risk Priority Number (RPN) is calculated for each failure mode, and necessary mitigation strategies are adopted.…”