Titlebook: Intelligent Systems in Technical and Medical Diagnostics; Jozef Korbicz,Marek Kowal Conference proceedings 2014 Springer-Verlag Berlin Hei

積云

Importance Discounting as a Technique of Expert Knowledge Incorporation into Diagnostic Decision-Makcounting incorporation into a?diagnostic system, considering gathering of expert’s opinions and the conversion from opinions to values of discounting factors is described. Theoretical reflections are supported by a practical example.

HILAR

EWER

Conference proceedings 2014rging developments in control engineering, artificial intelligence, applied mathematics, pattern recognition and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in electrical, mechanical, chemical and medical engineering, is being obser

LUT

Bridges between Diagnosis Theories from Control and AI Perspectivescted measurements, checks or tests. The different facets of the diagnosis problem and the wide spectrum of classes of systems make this problem interesting to several communities and call for bridging theories. This paper presents diagnosis theories proposed by the Control and the AI communities and

Evacuate

Diagnosis of Actuator Parameter Faults in Wind Turbines Using a Takagi-Sugeno Sliding Mode Observertor dynamics of the pitch system and of the generator are modeled as first or second order delay models. By choosing appropriate actuator fault matrices for the TS SMO design, parameter changes or faults in the actuator dynamics can be calculated from the reconstructed additive fault signal. Example

commodity

連鎖,連串

Control Reconfiguration for One Class of Takagi-Sugeno Fuzzy SISO Systemsaper. Focusing on linear SISO systems, as well as on one class of Takagi-Sugeno fuzzy systems, the design aim is to synthesize a set of state feedback control laws in such way that all closed-loop matrix constituents are sharing a common left eigenvector. The principle is based on the necessary stab

貧困

Efficient Predictive Fault-Tolerant Control for Non-linear Systems?triple stage procedure, i.e. its starts from fault estimation, the fault is compensated with a?robust controller. Finally, if the fault compensation does not provide satisfactory, which means that the current state does not belong to the robust invariant set, then a suitable predictive control acti

heterodox

Design of Maximum Power Fuzzy Controller for PV Systems Based on the LMI-Based Stabilityagi-Sugeno (TS) fuzzy model is presented. Then a model based fuzzy controller design utilizing the concept of the Parallel Distributed Compensation (PDC) is employed. The proposed algorithm depends on the fuzzy reference model. The fuzzy control system consists of observer and fuzzy control componen

BUCK