An Adaptive Fuzzy Diagnosis System for On-line Sensor Data Validation
نویسندگان
چکیده
SENSOR DATA VALIDATION A.N. Boudaoud, M.H. Masson Heudiasyc, U.M.R. C.N.R.S. 6599, Universit e de Technologie de Compi egne, B.P. 20529, 60205 Compi egne Cedex, France e-mail : [email protected] Abstract. An adaptive fuzzy diagnosis system is presented for diagnosis of incipient sensor faults in an environmental process. Simulations demonstrate the capabilities of the system to detect the occurence of slow evolutions and to localise the faulty sensor Copyright c 1998 IFAC. This work has been within the EM2S esprit project p-22442. The EM2S consortuim is : suez Lyonnaise des Eaux, F, VKI Water Quality Institute, DK, Danfoss System Control, DK, Hitec, N, Computas, N and CNRS, F
منابع مشابه
Long-term Streamflow Forecasting by Adaptive Neuro-Fuzzy Inference System Using K-fold Cross-validation: (Case Study: Taleghan Basin, Iran)
Streamflow forecasting has an important role in water resource management (e.g. flood control, drought management, reservoir design, etc.). In this paper, the application of Adaptive Neuro Fuzzy Inference System (ANFIS) is used for long-term streamflow forecasting (monthly, seasonal) and moreover, cross-validation method (K-fold) is investigated to evaluate test-training data in the model.Then,...
متن کاملA New Structure for Direct Measurement of Temperature Based on Negative Temperature Coefficient Thermistor and Adaptive Neuro-fuzzy Inference System
Thermistors are very commonly used for narrow temperature-range high-resolution applications, such as in medicine, calorimetry, and near ambient temperature measurements. In particular, Negative Temperature Coefficient (NTC) thermistor is very inexpensive and highly sensitive, whose sensing temperature range and sensitivity are highly limited due to the intrinsic nonlinearity and self-heating p...
متن کاملAn Adaptive Weighted Fuzzy Controller Applied on Quality of Service of Intelligent 5G Environments
in computational intelligence area, it is suitable to fulfill the analysis in order to interpret the concept and sources of uncertainty and the conditions of its incidence, and hence pursuit for reliable techniques of dealing with it. Dealing with uncertainties in this case is a challenging and multidisciplinary activity. So, there is a need for a capable tool for modeling, control, and analyti...
متن کاملDesign of an Adaptive Fuzzy Estimator for Force/Position Tracking in Robot Manipulators
This paper presents a stable new algorithm for force/position control in robot manipulators. In this algorithm, position vectors are measured by sensors and then used in the control law. Since using force sensor has some issues such as high costs and technical problems, an approach is presented to overcome these issues. In this respect, force sensor is replaced by an adaptive fuzzy estimator to...
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 کامل