Session: 05-06 PHM Systems & Comparative Studies

Paper Number: 128865

128865 - Study on an Automatic FMECA Analysis for Gas Turbine Systems Using Model-Based Systems Engineering Method 

Gas turbine systems operate in high temperature and high pressure conditions, which easily lead to performance degradation or various serious failures. The reliability is one of the most important attributes to monitor the gas turbine safety. Failure Mode, Effects, and Criticality Analysis (FMECA) is a well-known approach to systematically analyze the gas turbine reliability. On the one hand, the potential fault modes and resultant effects are identified and analyzed. On the other hand, the risk and probability of associated with these fault modes are assessed. However, traditional document-centric implementation of FMECA requires manual recording of fault related information. Such implementation approach is prone to human error and tedious. As an evolving approach, Model-based Systems Engineering (MBSE) has been applied in many industries to support system design, analysis and management by transforming text into machine-readable models. In this study, an automatic FMECA analysis approach for gas turbine systems is proposed based on MBSE. Firstly, a FMECA related model library is constructed according to the MBSE modeling language specification of SysML. The concepts in FMECA (including fault mode, fault effect, fault consequence, fault cause, and detection method) are mapped to the basic elements of SysML diagram. Secondly, the FMECA architecture model is established according to the SysML diagrams of internal block diagram (IBD) and block definition diagram (BDD). The topology between FMECA related concepts is characterized through the constructed architecture model. Finally, the Design Structure Matrices (DSM) is used to express the logical relationships between concepts in different FMECA analysis phases. The criticality and risk priority number are automatically evaluated by DSMs. A case study of a real gas turbine is conducted to demonstrate the effectiveness of the proposed approach. The case results suggest that proposed approach can significant enhance the efficiency of FMECA analysis.

Presenting Author: Jinwei Chen Shanghai Jiao Tong University

Presenting Author Biography: Dr. Chen is an assistant professor in Shanghai Jiao Tong University. He is major in modeling, simulation, and fault diagnosis of thermal power systems.

Authors:

Jinwei Chen Shanghai Jiao Tong University
Zhenchao Hu Shanghai Jiao Tong University
Huisheng Zhang Shanghai Jiao Tong University