Ali Chaibakhsh

University of Guilan · Faculty of Mechanical Engineering

Brain-Computer Interface (BCI) systems are relatively new technologies that could play a significant role in aiding the recovery of impaired activities resulting from neuromuscular disabilities in affected individuals. Accurate recognition and classification of motor imagery in BCI systems present a challenge, leading to extensive research in recen...

Trajectory tracking in electro-pneumatic systems poses a significant challenge due to the nonlinearity of their dynamics. This research aims to analyze the performance of various types of controllers for a laboratory-scale pneumatic system in terms of energy consumption and control efforts. By considering the mathematical relationships among system...

Trajectory tracking in electro-pneumatic systems poses a significant challenge due to the nonlinearity of their dynamics. This research aims to analyze the performance of various types of controllers for a laboratory-scale pneumatic system in terms of energy consumption and control efforts. By considering the mathematical relationships among system...

Advent of new communication technologies made it possible to replace point-to-point control structures with networked systems as a breakthrough toward Industry 4.0. However, overcoming communication imperfections is still a major issue. In this paper, a group of network-based cascade control systems is investigated in which, network communication i...

The safety of connected and autonomous vehicle (CAV) depends on the security of in-vehicle communication. The controller area network (CAN) bus holds a crucial position in ensuring in-vehicle security. Injecting attacks (e.g., increasing the speed) by hackers can affect drivers. This article proposes a fusion intrusion detection and resilient appro...

Fault diagnosis of mechanical systems is of special importance for better system performance as well as its protection. In this work, a rotary machine laboratory system is used to generate signals. The obtained data are placed in the pre-processing process. In this article, to improve the performance of signal analysis, the combined analysis method...

Background: Applying efficient feature extraction and selection methods is essential in improving the performance of machine learning algorithms employed in brain-computer interface (BCI) systems. Objectives: The current study aims to enhance the performance of a motor imagery-based BCI by improving the feature extraction and selection stages of th...

Cyber-Physical Systems (CPSs) utilize Networked Control Systems (NCS), where the supervised controller is connected to the network through communication links. It facilitates the network with online accessibility that reduces maintenance costs and enhances reliability. However, open access often raises the risk of cyber-attacks. Besides, a communic...

The fault diagnostics of rotating machinery significantly affect the dependability and safety of modern industrial systems. Advanced fault diagnosis techniques have taken over the challenging and uncertain process of human analysis, boosting the effectiveness of fault diagnosis. The accuracy of fault diagnosis is enhanced by employing deep learning...

Epilepsy stands as one of the most prevalent neurological disorders worldwide. Diagnosis is typically conducted by examining electroencephalogram (EEG) recordings in clinical settings. In this research paper, a novel deep-learning model is put forward to detect epileptic seizures. Due to the scarcity of seizure-related epileptic samples and the nee...

Effective fault diagnosis approach in gas turbines is crucial for ensuring reliable and efficient operations, minimizing downtime, and mitigating safety risks. In this paper, a robust Fault Detection and Isolation (FDI) method for an industrial gas turbine is developed. First, the system is modeled through a nonlinear feedforward network, which con...

Patients with locked-in syndrome (LIS) and complete locked-in syndrome (CLIS) own a fully functional brain restricted within a non-functional body. In order to help LIS patients stay connected with their surroundings, brain-computer interfaces (BCIs) and related technologies have emerged. BCIs translate brain activity into actions that can be perfo...

The Gasoil fuel is widely used in the power plant industry worldwide, particularly in the gas turbine system. Despite its particular importance, the number of existing multi-component surrogate models, remained limited. This issue became the topic of recent researches of us. The recently published diesel surrogate model by the authors consists of a...

One of the essential factors to limit the spreading of COVID-19 is an early and accurate diagnosis. Chest X-rays (CXRs) imaging is a common approach to identify COVID19, owing to its ability to detect the respiratory problem as a major symptom of COVID-19 and its public access even in third-world countries. A robust and efficient classification by...

In this paper, an intelligent hybrid Industrial Control System (ICS) and a Supervisory Control System (SCS) are proposed to improve the efficiency, safety, availability, and control capabilities of industrial furnaces. The main components of ICS are process control systems and advanced control systems that consist of overheating protection and load...

Failure prognostic predicts the Remaining Useful Life (RUL) of machine/components, which will allow timely maintenance and repair leading to continuous reliable and safe operating conditions. In this paper, a novel hybrid RUL prediction approach is proposed for heavy-duty gas turbines. Two common failures, namely the fouling in the gas turbine comp...

Vibration analysis is one of the most practical methods for monitoring and troubleshooting of rotating equipment. In this research, vibration analysis and support vector machine algorithm were used for monitoring and troubleshooting Alstom locomotive blowers. First, vibration data were collected from the blowers and the received signals were catego...

In this paper, the root causes for early failure of ultrasonic flowmeters used in Water and Wastewater Company of Guilan Province have been investigated. In the years of need for proper management of water consumption due to reduced water resources, significant increase in production costs, prevention of theft and waste of water in distribution net...

In this paper, the design and performance evaluation of a new safety stop mechanism for a soft-hand exoskeleton are presented. The considered wearable orthosis comprises an under-actuated tendon-driven mechanism to perform flexion and extension on each finger using a separate electrical motor. The flexor and extensor tendons move through different...

This study investigates a nonlinear model-based feature extraction approach for the accurate classification of four types of heartbeats. The features are the morphological parameters of ECG signal derived from the nonlinear ECG model using an optimization-based inverse problem solution. In the model-based methods, high feature extraction time is an...

This study investigates a nonlinear model-based feature extraction approach for the accurate classification of four types of heartbeats. The features are the morphological parameters of ECG signal derived from the nonlinear ECG model using an optimization-based inverse problem solution. In the model-based methods, high feature extraction time is a...

Effective fault detection, estimation, and isolation are essential for the safety and reliability of gas turbines. In this article, a hybrid fault detection and isolation (FDI) approach is presented for condition monitoring of heavy-duty gas turbines. First, nonlinear dynamical models are constructed using an orthonormal basis function and an adapt...

As a result of the emergence and integration of communication technologies within the industrial control systems, new requirements in terms of stability, performance and robustness against disturbances should be met in order to deal with the effects of the delay induced by networks. In this paper, the analytical design of a networked cascade contro...

A brain-computer interface (BCI) is a system that makes communication between an external device and the brain based on the brain's neural activity. This communication is conducted by analyzing brain signals, so extracting and selecting those features of the brain signals that distinguish between humans' different activities are essentially importa...

This paper describes the design and implementation of intelligent dynamic models for fault detection and isolation of V94.2(5)/MGT-70(2) single-axis heavy-duty gas turbine system. The series-parallel structure of nonlinear autoregressive exogenous (NARX) models are used for fault detection, which initiate greater robustness and stability against un...

In this study, an efficient strategy for fault detection and isolation (FDI) of an Industrial Gas Turbine is introduced based on ensemble learning methods. Four independent Wiener models are identified by employing plant input/output data to determine system behavior. Following that, an ensemble-based method is established, which utilizes all the W...

In this paper, a new fusion scheme based on the Dempster–Shafer Evidence Theory (DSET) is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various features in temporal, spectral, and temporal-spectral domains are extracted from Electroencephalogram (EEG) signals. Afterward, a Correlation analysis via the Pearson Correla...

In this paper, the type and location of unbalanced and bearing faults in rotary machines are investigated. The data used in this work is provided by the rotary machine fault simulator. These data include 14 different states, including 13 modes with unbalanced and bearings faults at different locations and a healthy mode, recorded by six acceleratio...

The controlling of the servo pneumatic system is an interesting topic of research over the past few decades. Since the pneumatic system has a high nonlinearity nature and challenging control process, many research works have been done using different control algorithms for the pneumatic servo system. PID controller is a model-free linear type contr...

Communication between the actuator (fan) and the controller (computer) is handled by the Arduino board which receives position feedback from the infrared sensor. In order to achieve an air stream capable of levitating balls with different masses, a fan with high air volume and static pressure was required. A 12V DC fan is inserted into a hole in a...

To validate the model, the behavior of the real system and simulation diagrams are compared through applying a unique control signal in form of sinusoidal wave and in range of 0 to 10 volts at a frequency of 2 Hz to both Simulink model and experimental setup. It can be inferred from this video clip that, model response and real system response to a...

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 Laguer...

Cyber-physical systems, such as large power plants, apply open networks for monitoring and control purposes. This may increase the risk of cyberattacks to these infrastructures. Cybersecurity methods have been employed as promising techniques to deal with cyber threats and isolate possible cyberattacks. This article introduces a new security manage...

In this study, fault detection and fault diagnosis in the high-pressure tubes of a combined cycle power plant’s high pressure steam generator was investigated. Identification and prevention from fault propagation in combined cycle power plants plays the main role in improving the reliability and safety of these systems. In this work, leakage faults...

in this paper, design, fabrication, modeling, and control of a low-cost ball and pipe air levitation laboratory system for educational purposes is investigated. Ball and pipe laboratory setup is a dynamic benchmark system, designed to control the position of the ball on a vertical upward airflow that counteracts the gravitational force exerted on t...

This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain nonlinear system using a new adaptive threshold method. In order to determine the bounds of the adaptive threshold and to identify neural network thresholds modelling, an approach based on Monte Carlo simulation is employed. To evaluate the performance of the...

Most of the BCI systems need EEG data with several channels to reach good accuracy. However, exceedingly increasing the channel need will increase the amount of calculation, and in some cases, decrease the accuracy and will also make the implementation of a BCI system difficult. Therefore, identifying the most effective channels in BCI systems is c...

This paper introduces a cyber-secure strategy for radar tracking systems. Two common cyber-attacks including denial-of-service (DoS) and false data injection (deception) attacks are investigated. The proposed secure control strategy consists of two subsystems: 1) an attack detection and isolation (ADI) subsystem, and 2) a resilient observer (RO) su...

In this paper, based on clinical measurements from the individual patient firstly the most effective parameters of the immune system of the patient is derived using global sensitivity analysis. To accomplish global sensitivity analysis effectively Latin hypercube sampling (LHS), partial rank correlation coefficients (PRCCs) and Dempster-Shafer (D-S...

Design, construction, modeling, and control of Ball and Pipe air levitation laboratory system for educational purpose. https://www.youtube.com/watch?v=j1qR7Cu3CrA&t=21s

Networked-based controllers have been widely used in network systems due to their high flexibility, ease of installation and maintenance, low cost and high reliability. In spite of these advantages in these systems, the existence of communication delays due to bandwidth limitation and packet loss lead to instability of control systems. The purpose...

In this study, a multi-sensor feature fusion based fault detection approach was presented to deal with abnormal operating conditions in a sub-section of a Benson® type boiler. Four different filter-type feature selection were employed for ranking features. Dempster–Shafer evidence theory was employed to fuse the selected features and to increase th...

Seismic base isolations are well‐established passive control systems, used for reducing structural responses and preventing interior sensitive equipment and nonstructural elements from damaging. However, in a base‐isolated structure under near‐fault earthquakes, isolated layers sustain large displacements that might not be allowable. Further, any p...

Pneumatic technology plays an important role in modern mechatronic systems. They widely use in industries due to good power density, high travel speed, cleanness and simple operation mechanism. Pneumatic actuators exhibit nonlinear behavior in control applications given by air compressibility, mass flow characteristics, etc. Smooth and precise moti...

Stable control of haptic interfaces is one of the most important challenges in haptic simulations, because any instability of a haptic interface can cause it to get far from the realistic sense. In this paper, the control strategies employed for a stable haptic rendering in an interactive virtual control laboratory are presented. In this interactiv...

Burner failures are common abnormal conditions associated with industrial fired heaters. Preventing from economic loss and major equipment damages can be attained by compensating the lost heat due to burners' failures, which can be possible by defining appropriate setpoints to rearrange the firing rates for healthy burners. In this study, artificia...

This paper presents an application of adaptive control algorithm in order to reject the external disturbances in dual-stage hard disk drives. For this purpose, a dual PID controller is first designed without the plant exposure to external disturbances. Then, an adaptive control approach based on recursive least squares adaptive (RLS) algorithm was...

this publication is about an applied novel modeling of a laboratory scale servo pneumatic system. it concludes a novel mathematical modeling, simulation and experimental results and validation process.

In this study, an analytical model is developed to characterize the transient behaviour of a heavy-duty gas turbine unit. While deriving models based on mass and energy conservation, the lack of essential variables such as air mass flow rate is a major problem. Constrained nonlinear optimization problems were served to obtain the unknown parameters...

Fouling is one the most serious problems in the refineries that could have irreparable consequences. In this paper, fouling detection inside of the tubes in the radiation section of an industrial fired-heater furnace has been investigated. The aim of this research is to identify the fouling rate based on the independent inputs and outputs of the fu...

This study presents an application of intelligent fault detection system for recognizing abnormal conditions during transient operation of a steam generator unit. Unobserved dynamics of evaporator section have been caused multiple false alarms and boiler emergency shut-downs. In order to detect faulty conditions, four different classifier agents we...

In this study, an application of support vector machine (SVM) for early fault detection in increasing the level of the start-up vessel in a Benson type once-through boiler during load changes is presented. The level increasing in the start-up vessel is happened due to thermal conditions disruption inside the boiler especially while the unit load is...

In this study, feedback-feedforward control system design and optimizing the performance of crude oil furnace process was investigated in order to be recovered from possible abnormal conditions. First, by developing an accurate nonlinear analytical model, the effects of changes in input parameters and operating conditions on the system’s outputs we...

In this study, an application of support vector machines is presented for fouling detection and estimating the amount of deposit layer development and tube blockage percent at the radiation section of the furnace. Crude oil preheat furnaces are the main elements in processing crude oil in distillation towers, which may always suffer from fouling an...

Considering that Once-through Benson boiler is one of the most crucial equipments of a thermal power plant, occurrence of any fault in its different parts can lead to decrease of the performance of system, and even may cause system damage and endanger the human life. In this paper, due to the high complexity of the system's dynamic equations, we ut...

This study presents an application of Laguerre network-based hierarchical fuzzy modeling approach in fault diagnosis of the temperature sensors in industrial heavy duty gas turbines. The recorded experimental data from the performances of a V94.2 gas turbine unit were employed in modeling stage. A comparison between the responses of the models and...

This is an example to explain how it is possible to connect a MATLAB Simulink mdl file to the genetic algorithm (or other methods) optimization toolbox.

In this paper, a hybrid model of vehicle and passenger is proposed to predict the head acceleration in the front crash. A lumped mass model with 12-degree-of-freedom (DOF) is first used to predict the behavior of vehicle in front crash. In this model, any member of vehicle is modeled as a lumped mass and connected to the other members through some...

To describe nonlinear behavior characteristics of MR damper, various models have been proposed in last two decades, which could be classified in two hard and soft computing fields. First in this study, some of the best-proposed hard computing (parametric) models of MR damper are chosen and identified by genetic algorithm (GA) under equal conditions...

This code could be used for clustering by fuzzy c-means (FCM) (a modified version of genfis3 MATLAB function) and by using a validity function proposed by Xie and Beni. X.L. Xie, and G. Beni, “A validity measure for fuzzy clustering,” IEEE Trans. Pattern Analysis and Machine, vol. 13, pp. 841-847, 1991.

In this paper, a precise and nonlinear model is developed for Nekka power plant turbine from its experimental data and documents. It is proposed to use boiler-turbine coordinated control system to increase effective efficiency of the steam unit. Identification procedures have been performed to obtain continuous time models of Nekka steam turbine at...

A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive texti...

The main aim of this research is to demonstrate effectiveness of soft computing techniques in thermo-hydraulic behavior modeling of passive heat transfer enhancement (HTE) techniques. An artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), two effective modeling methods, have been used to model Nusselt numbers and fric...

An application of model-based coordinated control concept for improving the performance and maneuverability of once-through power plants is presented. In this structure, neuro-fuzzy-based Hammerstein models are employed as the core of feedforward (FF) controller to generate the reference trajectories for the plant’s subsystems. The setpoints for fu...

In this paper, fuzzy models with orthonormal basis functions (OBF) framework are employed for modeling the nonlinear dynamics of biological treatment processes. These models are consisting of a linear part describing the system dynamics (Laguerre filters) followed by a non-linear static part (fuzzy system). The training procedure contains of two ma...

This paper presents the development of mathematical model and designing a temperature control system for an industrial preheating furnace. In the first part of the paper, the simulation model was developed based on thermodynamics principles, energy-mass balance and semi-empirical relations. The parameters of developed models were defined with respe...

The Magneto-rheological (MR) dampers are favorite mechanical system in dynamic structures. This paper presents an application of Wiener-type nonlinear models for describing the hysteresis behaviors of MR dampers at different operating conditions. In this structure, a linear part consisting discrete-time Kautz filters is cascading by a nonlinear map...