Nonlinear Residual Generator Design Through Fuzzy Clustering For Process Fault Detection in a Co- current Heat Exchanger
نویسندگان
چکیده
In this paper, a fuzzy model-based algorithm is developed for leak detection in a pilot heat exchanger. A dynamic fuzzy model is first derived from input-output measurements using a fuzzy clustering technique. This model is run in parallel to the process for residual generation. The detection scheme has been tested and validated using real data from a co-current heat exchanger, and has proven to be efficient in detecting leaks of different magnitudes in the water circulation pipe of the water circuit.
منابع مشابه
Design of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems
In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...
متن کاملFault Detection Based on Type 2 Fuzzy system for Single-Rod Electrohydraulic Actuator
Electro-hydraulic systems with regards to the their specific features and applications among other industrial systems including mechanical, electrical and pneumatic systems, have been widely taken into consideration by the scientists and researchers. Due to the fact that the electro-hydraulic system is inherently a nonlinear system, has some problems such as signals saturation, nonlinear effici...
متن کاملModel-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines
In this paper, the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented. A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...
متن کاملGraphical Model Based for Robust Fault Diagnosis
In this paper, robust Fault Detection and Isolation (FDI) design in nonlinear uncertain dynamic system, with chemical and thermodynamic phenomenon, is addressed. The methodology using a Bond Graph (BG) representation in linear fractional transformation (LFT) form is shown to be a valuable tool for developing dynamic threshold generators and achieving robustness against model uncertainty in comb...
متن کاملOne Approach to Design the Fuzzy Fault Detection Filters for Takagi-Sugeno Models
The paper relates a principle for designing the fuzzy fault detection filters devoted to a class of continuous-time nonlinear systems represented by TakagiSugeno models. The extension of the fuzzy reference model principle and the incremental quadratic constraints are proposed to obtain an approximation of H∞/H_ criterion in the residual weight matrix parameter design for TS fuzzy fault detecti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009