Details

Autor(en) / Beteiligte

• Linlin Li
• Ding, Steven X.
• Jianbin Qiu
• Ying Yang
• Dongmei Xu

Titel

Fuzzy Observer-Based Fault Detection Design Approach for Nonlinear Processes

Ist Teil von

• IEEE transactions on systems, man, and cybernetics. Systems, 2017-08, Vol.47 (8), p.1941-1952

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2017

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore Digital Library

Beschreibungen/Notizen

• This paper is concerned with the analysis and integrated design of a type of observer-based fault detection (FD) system for general nonlinear processes. To this end, the existence and design condition for this type of nonlinear observer-based FD systems is first introduced. In this context, the integrated design scheme is investigated by dealing with the design condition with the aid of Takagi-Sugeno (T-S) fuzzy dynamic modeling technique. To be specific, the universal T-S fuzzy observer-based residual generator is developed via fuzzy Lyapunov functions. Subsequently, an integrated observer-based FD scheme is proposed with an embedded dynamic threshold, which is generated to meet the real-time FD requirements from industrial processes. In the end, a numerical example and case simulation study on a continuous stirred tank heater process are performed to show the application of the proposed method.