Abdelhamid Iratni

University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj · Electrical Engineering

This work is interested in studying the vibrations’ stability in gas turbines, compared to a dynamic model of the Jeffcott rotor, the parameters of the gas turbine will be estimated for the purpose of developing a mathematical model which points out the behavior of the turbine rotor in virtue of the data of actual vibration measurements. The additi...

The outstanding performance of modern gas turbine power plants requires an efficient and robust control strategy in order to recover the losses caused by the undesirable effects and the instabilities related to their operation. Also, these losses can be the cause of their unstable dynamic behaviour during full-load and partial load operation in the...

In the field of power quality monitoring, due to the extensive quantity of measurements data, it is preferred that the detection, identification and classification of Power Quality Disturbances (PQD) can be performed automatically. This paper proposes a new efficient classification scheme based on two powerful techniques, the Extended Kalman Filter...

Practically the rotating machines degradation, such as gas turbines, is due to the quality of construction and online operation of their dynamic state models, of different physical phenomena affecting these machines which cause their total malfunction. To maintain their stable operation, it is essential to correctly describe these real dynamic beha...

Responding to the needs of quality and robustness of analysis and management of degradation of equipment, to increase their life cycle and to expand these facilities to become more and more sophisticated and agronomic. This work proposes a contribution to increase the survival of a gas turbine, installed in a gas-compression plant, with a comparati...

In practice, model-based fault diagnosis methods are essential to improve availability with reduced operating costs and good operational reliability of industrial systems. This is based firstly on the choice of the model identification method adapted to the system, depending on the complexity of the system and its interaction with its environment....

Practically, a maintenance operation is performed on industrial equipment after scheduled planning that depends on the average useful life of this equipment (Mean Time Between Failures or Mean Time to Failure). Hence, in the industry, the use and the processing of data certainly improve productivity. But they induce a complexity of the industrial s...

The work presented in this paper focuses on presenting an hybrid identification method for a nonlinear dynamic gas turbine, from a real time input and outputs data exploitation, with the fuel flow as the input and the rotational speed of high pressure and low pressure turbine as outputs. The multi model, which are in the form of a weighted combinat...

The rotating machines like gas turbine types are highly valuable in the gas transportation industry. They are often strategic and have a major impact on the proper operation of gas transport and compression facilities. In this context, the aim of this work is to increase efficiency and production by developing an approach for this kind of installat...

Reactive and harmonic currents that are being injected into the power supply by nonlinear loads, cause an increasing deterioration of the power system voltages and currents, whereas active power filter (APF) has been widely used to overcome this problem and to improve the power quality delivered by the power supply. In this paper, a three-level fou...

Background Currently, the challenges of sustainable development in the operational safety of industrial systems continue to grow and increase, given the increasing complexity of these industrial installations. Through the recurrent development of better competitive performance in terms of quality, productivity, flexibility, robustness, and environm...

Recently, the development of the industry requires monitoring and follow-up of the working conditions of the facilities, to determine the reliability, availability, and durability of these systems, for objectively estimating the service life of these installations with reduced maintenance costs. In this sense, this work proposes a novel approach to...

This paper presents a new approach for frequency estimation and tracking based on State Dependent Riccati Equation Filter (SDREF). The SDREF is an alternative concept to the well-known Extended Kalman Filter (EKF) to design a robust nonlinear filter, with low computational costs and better performances. The aim is to estimate and track the time-var...

In industrial practice, the representation of the dynamics of nonlinear systems by models linking their different operating variables requires an identification procedure to characterize their behavior from experimental data. This article proposes the identification of the variables of a two-shafts gas turbine based on a decoupled multi-model appro...

Modern industry requires the development of new monitoring and diagnostic procedures, which enable the detection, localization, and isolation of faults. For sustainable solutions in terms of operational safety and availability, while bringing out zero accidents, zero downtime, and zero faults, for a trend acting on environmental issues. Towards thi...

Gas turbines require regular main-tenance to ensure reliability and con-sistent performance. When problems are identified during turbine operation or maintenance inspection, significant engineering work is often required to identify and implement an optimal and effective solution.In this study, the authors present tech-nical data gathered in the fi...

The rotating machines like gas turbine types are highly valuable in the gas transportation industry. They are often strategic and have a major impact on the proper operation of gas transport and compression facilities. In this context, the aim of this work is to increase efficiency and production by developing an approach for this kind of installat...

This paper deals with a state model identification of a gas turbine used for gas transport, using a subspace approach of the state space model. This method provides a reliable and robust state representation of the model, taking advantage of its benefits in the control, monitoring, and supervision of this machine. The model for each variable is set...

The use of new technologies in modern industry improves productivity but induces complexity in the industrial system. This complexity makes it vulnerable to faults, which requires significant expense in terms of safety, reliability and availability. Hence, the diagnosis of gas turbines is a main component for making maintenance decisions for this t...

This paper presents a thorough review of control technologies that have been applied to wastewater treatment processes in the environmental engineering regime in the past four decades. It aims to provide a comprehensive technological review for both water engineering professionals and control specialists, giving rise to a suite of up-to-date pathwa...

The image quality of a face recognition system suffers under severe lighting conditions. Thus, this study aims to develop an approach for nonuniform illumination adjustment based on an adaptive gamma correction (AdaptGC) filter that can solve the aforementioned issue. An approach for adaptive gain factor prediction was developed via neural network...

In several works using a single approach for optimization the parametres of PI controller confirms that the use of a single approach does not necessarily produce optimal results. In this paper, we propose to optimize the performance of the parametres controller by combining two scalable algorithms, genetic algorithms GA and particle Swarm PS, in or...

This paper presents a new robust control strategy based on a synergetic control theory (SCT) approach for linear time varying (LTV) systems in the presence of unknown persistent disturbance. The proposed control scheme is featured by an integral type of SCT driving the system towards a macro-variable manifold based on output error. The proposed con...

The cultivation of Escherichia coli bacteria is widely used by geneticists and biopharmaceuticals to produce medicines and vaccines. In such industries, Bioprocesses are known by their harsh environment and very expensive physical sensors. This paper deals with nonlinear estimation and control of fed-batch Escherichia coli bioprocess. Enhancing the...

This paper presents the design of a new robust nonlinear estimator for estimation of states of nonlinear systems. Two approaches are considered based on the state-dependent Riccati equation formulation and the technique of H-infinity control design. The proposed method differs from other well-known state estimators, because not only nonlinear dynam...

The most important issues relating to monitoring, quality control and prediction models for environmental protection in the treatment plant waste water are based on the amount of information and measures that are available. The key step in controlling and monitoring the plant is to obtain an accurate and robust estimate of the states model. The pap...

The paper address the design of new nonlinear filtering algorithm for the estimation of the non-measurable states in wastewater treatment plants (WWTPs). Two approaches are considered based on the state-dependent formulation and the H-infinity control design technique. It differs from other well-known methods for state estimation, because not only...

This paper focuses on the estimation of the non-measurable physical states of wastewater systems when nonlinear models with uncertainties describe the processes. The activated sludge process (ASP), as the most commonly applied biological wastewater purification technique, attracts a great deal of attention from the research community. We developed...

In this work, we treat the problems related to chemical and petrochemical plants of a certain complex process taking the centrifugal compressor as an example, a system being very complex by its physical structure as well as its behaviour (surge phenomenon). We propose to study the application possibilities of the recent control approaches to the co...