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An online characterization of switched reluctance motor (SRM) including the mutual coupling effects, magnetic saturation and parameters variation, is developed in this paper. The optimization of the SRM performances in terms of efficiency and high power density requires an accurate and less-complicated model. The model building can be used for simulation, control, and diagnosis purposes based on the...
Rotating machines are widely used in the industry; all these machines in operation produce vibrations phenomena caused by dynamic forces generated in moving parts of these equipments. This work propose the development of fault diagnosis system for the vibration detection and isolation based on artificial intelligence using artificial neural networks, applied to a gas turbine system, in order to secure...
A mathematical representation of patient or device is presented by a number of variables which are defined to represent the inputs, outputs and a set of equations describing the interaction of these variables. This paper proposes a global methodology for modeling and simulation medical systems and human body, in order to analyze the performance and the quality of services of all system components...
This paper proposes a detailed approach of the broken bars in the induction motors by analyzing the magnetic field distribution with the use of finite element. Results show accurately that the magnetic saturation is high in the area of broken bars and that the magnetic field waveforms carry the necessary information to detect this type of fault. The obtained information may be used to develop an on-line...
Upon occurrence of an internal fault on the permanent magnet synchronous machine (PMSM), the topology of the stator is amended causing structural imbalances due to the change of the connection within the windings. In this work, a state model of internal faults of the PMSM is developed. This model is in the (abc) reference frame. The modeling approach is based on the assumption that each stator phase...
The variable speed electrical drives based on doubly-fed induction generator are more and more used in the field of renewable energy thanks to their robustness and high efficiency. However, despite their advantages, they are subjected during function to several constraints of different nature including, mechanical faults are statistically the most frequent of these faults, there are mainly the eccentricity...
Squirrel cage induction motors are commonly used in industrial and domestic applications, because of their advantages. Now a day's on line parameter monitoring of induction motors with the help of fault detection algorithms are very useful to the early detection of the fault and protect the motor from catastrophic damages. Rotor fault analysis of three phase induction motors is very helpful for the...
In the power energy industry there is a growing interest in measuring and improving the reliability and security of the distribution energy grid. In this process, the power quality (PQ) disturbances have become a major concern due the uncertainty associated to possible affectations of these kinds of disturbances to the user loads and the utility operation. As consequence, probabilistic and graphical...
Induction motors are critical components in many industrial processes. Online monitoring of induction motors is becoming increasingly important. The main aim of this paper is to perform the electrical fault analysis of a three phase induction motor using simulation in MATLAB SIMULINK and to design a fuzzy logic algorithm for detecting and analyzing the electrical fault of the motor. Several types...
This paper deals with an approach of diagnosis for manufacturing system considered as Discrete Event Systems. A decomposition of the plant by mechanical component is used to construct a decentralized diagnosis structure to reduce the combinatory explosion found in centralized structures. Local normal behavior is extracted from local Plant Element using controller information. Possible faults are identified...
Pulse wave of human body contains large amount of physiological and pathological information. Arterial elasticity letdown and arterial stiffness increase is significant marker of cardiovascular and cerebrovascular risk, so a vascular elasticity intelligent analysis system is designed based on LabVIEW. The main function of the system, such as data sampling, waveform pretreatment, feature extraction,...
This paper proposes a diagnosis method of a hydrogen/air fuel cell using a quasi-static model coupled to a parameter identification method that are both described. An original statistical approach is proposed in an effort to obtain a certain guaranty on the validity of the identified parameters and raise in this way the associated “confidence index”. The analysis of the degradation of a fuel cell...
In this paper, a simplified two-axis model for induction machines with electrical rotor faults is derived. The model is intended for analysis of the impact of rotor fault on control loop with inverter fed induction machines, therefore detailed modeling of internal states of the machine is not required. The model is derived from unified theory of electrical machines, where rotor parameters are asymmetrical...
Induction motors are critical components in many industrial processes. Therefore online monitoring of induction motors is becoming increasingly important. The main difficulty in this task is the lack of an accurate analytical model to describe a faulty motor having different types of faults like winding faults. To model shorted stator turns, the model assumes that the one of the phase has two windings...
This paper reports the first evaluation of a diagnostic module, called ACDC (Automatic Class Diagrams Comparator) since its integration into Diagram, a learning environment for UML class diagrams. ACDC is an hybrid matcher that compares the student diagram with a reference diagram and tries to match them. It produces a list of structural and content differences between these two diagrams. These differences...
Due to its simple construction, low cost, manufacture, and its robustness. The use of induction motors is rapidly and increasingly growing in the industry especially in highly important sectors. This leads us to a serious focus on their operation and their availability. The early detection for motor deterioration can increase plant availability and safety in economical way, help to avoid expensive...
The following topics were dealt with: hybrid intelligent systems in control and diagnosis; hybrid intelligent systems in pattern recognition and time series; and hybrid intelligent systems in modeling, simulation and optimization.
The authors propose a new diagnosis method for on-line broken bars detection by parameters estimation. For predictive detection, Kalman filtering algorithm has been adapted to take into account the on-line parameters deviations in faulty case. Within the framework of the diagnosis of the rotor defects, it is difficult to conduct experimental tests to validate the on-line identification of such default...
The asynchronous motor has an interest in strong powers applications requiring speed variation. Even if it is robust, it is not saved by electrical or mechanical defects. Among rotor defects, we can quote a fissure or a total break of bar, a rupture of end ring circuit, an eccentricity of the rotor axis... In this paper, we use a technique based on the spectral analysis of stator current in order...
The asynchronous motor has an interest in strong powers applications requiring speed variation. Even if it is robust, it is not saved by electrical or mechanical defects. Among rotor defects, we can quote a fissure or a total break of bar, a rupture of end ring circuit, an eccentricity of the rotor axis... In this paper, we use a technique based on the spectral analysis of stator current in order...
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