A Digital Twin Model-Based System Engineering Approach to Failure Analysis for an Engine System
Abstract
In every portion of a product's life cycle, system failures can occur. The DOD and defense contractors use failure analysis methods such as Failure Modes and Effects Analysis (FMEA) and Fault Tree Analysis (FTA),which have successfully reduced maintenance downtime and lowered life cycle costs as a result of reducing failures during system operations. However, challenges can hinder the effectiveness of failure analysis and have not been fully addressed due to limitations of current failure analysis and root cause analysis methods. This thesis addresses two of the challenges: (1) incorrectly classified system failures and (2) lack of failure traceability in the system life cycle. A methodology is proposed that incorporates some elements of both FMEA and FTA into a digital twin (DT) by employing the MBSE tool Magic Systems of Systems Architecture (MSOSA) to aid in failure analysis. An MBSE model simulation using an example of an engine is presented to demonstrate the efficacy of the methodology. The results are shown in terms of system operational availability. This research concludes that the approach has potential in emulating the real system's behavior and can offer a more accurate estimated result. However, due to semantic errors in modeling in MSOSA, the model was unable to generate accurate results as intended. The model's semantic errors must be addressed before it can be validated by comparing the results from MBSE model and the corresponding real-world system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2022
- Accession Number
- AD1201821
Entities
People
- Xue Y. Yap
Organizations
- Naval Postgraduate School