Kasim M Al-Aubidy, Tishk International University (original) (raw)

Papers by Kasim M Al-Aubidy, Tishk International University

Jordan Journal of Electrical Engineering, 2024

There is a significant growth in the use of solar photovoltaics (PV) for clean and sustainable re... more There is a significant growth in the use of solar photovoltaics (PV) for clean and sustainable renewable energy. The ease of installation and expansion of PV power plants makes them suitable for gridconnected operation. However, increasing the size of the PV power plant will make it difficult to detect and classify faults, which leads to lower system efficiency and reliability. Therefore, this article proposes a method for detecting and classifying faults in PV systems in order to fix them more quickly and efficiently. For this purpose, the data of current and voltage are collected from every panel for a period of time in normal case and for three common fault types (open circuit, short circuit, and shading), and afterwards converted into wavelet transform images. Then a deep learning approach is used to detect, classify, and locate defective panels in a PV system. The obtained results show that the deep learning approach based on Resnet50, and voltage images was 100% accurate compared to the deep learning approach based on current images. In this methodology there is no need for additional sensors since they are embedded with panels and sent to main computer. Since the voltage parameter has the best accuracy scenario, it is converted to images, then ResNet-50 is applied. So, every panel can be detected and classified, and as each panel is numbered, the fault location can be readily determined.

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Applied Sciences, 2019

Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mi... more Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the...

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3rd IEEE Intr. Conf. on Systems, Signals, Devices (SSD05), Tunisia, 21-24 March, 2005, 2005

The PM motor drive systems are becoming particularly popular in many industrial applications. The... more The PM motor drive systems are becoming particularly popular in many industrial applications. They have many of the desirable performance characteristics of both the AC and DC drive systems. In this paper, a fuzzy logic controller is proposed for the
real-time control of a Sensorless PM drive system. An implicit detection method has been used to detect the rotor position and to measure both the rotating speed and internal load angle. The results given in this paper demonstrate the capability of such a
drive system in applications where simplicity, reliability and stability are more important issues. Furthermore, the proposed hardware and software design is simple and can be implemented by a single-chip microcontroller for real-time applications.

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19th IEEE International Multi-Conference on Systems, Signals and Devices (SSD2022), 2022

There is an increasing need for portable respirators due to the Corona pandemic, and these device... more There is an increasing need for portable respirators due to the Corona pandemic, and these devices need small size and low cost oxygen concentrators. This paper aims to use reverse engineering concepts in the design and implementation of a portable oxygen concentrator to assist respiratory patients. It also deals with the study of the properties of chemicals suitable for use in the proposed device. Practical tests of the device showed its ability to produce 10 liters per minute with a purity of 98% oxygen. The engineering style of the device is low cost, compact and can be easily used in homes, ambulances and work sites.

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Fourth International Conference on Electrical Machines and Drives, IET, 13 September 1989through 15 September 1989, 1989

Search coils can be conveniently and economically mounted on the stator teeth for the measurement... more Search coils can be conveniently and economically mounted on the stator teeth for the measurement of air gap flux. However, in the present application they are also used for injection of relatively high frequency signals, which can be detected by other search coils. The detected signals are modulated by rotor position because the configuration of the rotor poles presents a reluctance variation dependent on the position of the poles relative to the stator. The variation in the induced voltage in the receiver search coil is shown for the two extremes of rotor position which give maximum and minimum coupling. It is apparent that there is a sufficiently wide variation in induced voltage for rotor position detection to be a practical possibility.

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4th IEEE Intr. MultiConf. on Systems, Signals, Devices (SSD2007), 2007

The trend towards the adoption of direct drive washing machines utilizing PM motors is increasing... more The trend towards the adoption of direct drive washing machines utilizing PM motors is increasing due to the mechanical simplicity, high performance and efficiency of the system. This work deals with design and performance of a sensorless PM motor drive for washing machines. An implicit rotor position detection unit which consists of groups of search coils are inserted into the motor stator. A simple neuro-fuzzy controller has been used. The results given in this paper demonstrate the capability of such a drive system in washing machine applications where simplicity, reliability and stability are more important issues.

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3rd IEEE Intr. Conf. on Systems, Signals, Devices (SSD2005), 2005

The PM motor drive has been the object of many studies. These drive systems are becoming particul... more The PM motor drive has been the object of many studies. These drive systems are becoming particularly popular in many industrial applications. They have many of the desirable performance characteristics of both the AC and DC motors. This work deals with design of a real-time control of a sensorless PM motor drive system. The system consists of two sections; the rotor detection without using any mechanical sensor, and PM motor control using fuzzy logic. The results given in this paper demonstrate the capability of such a drive system in applications where simplicity, reliability and stability are more important issues. .

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16th IEEE Intr. Multi-Conf. on Systems, Signals, Devices (SSD2019) , 2019

This paper presents design and implementation of a monitoring and fault detection for photovoltai... more This paper presents design and implementation of a monitoring and fault detection for photovoltaic renewable energy system. A real-time monitoring unit based on wireless sensor networks is designed to monitor required variables related to each module and unit in the PV system. An intelligent algorithm based on fuzzy logic has been developed to detect and locate faults. A mathematical model together with an experimental prototype is designed to evaluate the performance of the proposed PV system under normal and faulty conditions. The obtained results from both simulated and experimental systems confirm that the implemented monitoring and fault detection system perform the required tasks with acceptable accuracy and cost. Applying realtime remote monitoring is easier to specify faults and observe the overall performance of any solar PV system.

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Third International Conference on Systems, Signals & Devices (SSD2005), 2005

Premature infant incubator system is a vital and critical area because it deals with premature in... more Premature infant incubator system is a vital and critical area because it deals with premature infant or illness baby. It is essential to detect any abnormal conditions occur in the premature infant incubator system as soon as possible. Temperature, humidity, and oxygen concentration are the main parameters must be control in the premature infant incubator system. In this paper novel technique by using Artificial Neural Network ANN is used in order to simulate the premature infant incubator control system by implementing the back propagation method. Sensors are used to indicate temperature, humidity, and oxygen concentration of the incubator internal environment. Sensors output are entering to the ANN, which identify the corresponding case and decide the suitable reaction upon previous training. The proposed ANN premature incubator control system in all conditions that can occur in the premature infant incubator environment proved right decision.

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Third International Conference on Systems, Signals & Devices (SSD2005), 2005

Premature infant incubator system is a vital and critical area because it deals with premature in... more Premature infant incubator system is a vital and critical area because it deals with premature infant or illness baby. It is essential to detect any abnormal conditions occur in the premature infant incubator system as soon as possible. Temperature, humidity, and oxygen concentration are the main parameters must be control in the premature infant incubator system. In this paper novel technique by using Artificial Neural Network ANN is used in order to simulate the premature infant incubator control system by implementing the back propagation method. Sensors are used to indicate temperature, humidity, and oxygen concentration of the incubator internal environment. Sensors output are entering to the ANN, which identify the corresponding case and decide the suitable reaction upon previous training. The proposed ANN premature incubator control system in all conditions that can occur in the premature infant incubator environment proved right decision.

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15th IEEE Intr. Multi-Conf. on Systems, Signals, Devices (SSD18), , 2018

The main objective of this research is to design and implement a real-time monitoring and control... more The main objective of this research is to design and implement a real-time monitoring and control system for factory automation based on wireless sensor networks. A flexible manufacturing system with four load/unload stations for programmable machines, a manipulator, a conveyor belt, and a MATLAB Simulink model has been designed. Each unit in the proposed FMS is considered as a node in a wireless sensor network. A fuzzy-based algorithm has been developed as intelligent decision maker to obtain the destination load/unload station for the selected object. The obtained results from both real and simulated systems confirm that the implemented FMS perform the required tasks with acceptable accuracy and speed.

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The main objective of this research is to design and implement a real-time monitoring and control... more The main objective of this research is to design and implement a real-time monitoring and control system for factory automation based on wireless sensor networks. A flexible manufacturing system with four load/unload stations for programmable machines, a manipulator, a conveyor belt, and a MATLAB Simulink model has been designed. Each unit in the proposed FMS is considered as a node in a wireless sensor network. A fuzzy-based algorithm has been developed as intelligent decision maker to obtain the destination load/unload station for the selected object. The obtained results from both real and simulated systems confirm that the implemented FMS perform the required tasks with acceptable accuracy and speed.

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ABSTRACT

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ARID international journal for science and technology, Dec 15, 2022

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This paper presents design and implementation of a monitoring and fault detection for photovoltai... more This paper presents design and implementation of a monitoring and fault detection for photovoltaic renewable energy system. A real-time monitoring unit based on wireless sensor networks is designed to monitor required variables related to each module and unit in the PV system. An intelligent algorithm based onfuzzy logic has been developed to detect and locate faults. A mathematical model together with an experimental prototype is designed to evaluate the performance of the proposed PV system under normal and faulty conditions. The obtained results from both simulated and experimental systems confirm that the implemented monitoring and fault detection system perform the required tasks with acceptable accuracy and cost. Applying real-time remote monitoring is easier to specify faults and observe the overall performance of any solar PV system.

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Journal of Computer Science, Aug 1, 2007

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Jordan Journal of Electrical Engineering, 2024

There is a significant growth in the use of solar photovoltaics (PV) for clean and sustainable re... more There is a significant growth in the use of solar photovoltaics (PV) for clean and sustainable renewable energy. The ease of installation and expansion of PV power plants makes them suitable for gridconnected operation. However, increasing the size of the PV power plant will make it difficult to detect and classify faults, which leads to lower system efficiency and reliability. Therefore, this article proposes a method for detecting and classifying faults in PV systems in order to fix them more quickly and efficiently. For this purpose, the data of current and voltage are collected from every panel for a period of time in normal case and for three common fault types (open circuit, short circuit, and shading), and afterwards converted into wavelet transform images. Then a deep learning approach is used to detect, classify, and locate defective panels in a PV system. The obtained results show that the deep learning approach based on Resnet50, and voltage images was 100% accurate compared to the deep learning approach based on current images. In this methodology there is no need for additional sensors since they are embedded with panels and sent to main computer. Since the voltage parameter has the best accuracy scenario, it is converted to images, then ResNet-50 is applied. So, every panel can be detected and classified, and as each panel is numbered, the fault location can be readily determined.

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

Applied Sciences, 2019

Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mi... more Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the...

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

3rd IEEE Intr. Conf. on Systems, Signals, Devices (SSD05), Tunisia, 21-24 March, 2005, 2005

The PM motor drive systems are becoming particularly popular in many industrial applications. The... more The PM motor drive systems are becoming particularly popular in many industrial applications. They have many of the desirable performance characteristics of both the AC and DC drive systems. In this paper, a fuzzy logic controller is proposed for the
real-time control of a Sensorless PM drive system. An implicit detection method has been used to detect the rotor position and to measure both the rotating speed and internal load angle. The results given in this paper demonstrate the capability of such a
drive system in applications where simplicity, reliability and stability are more important issues. Furthermore, the proposed hardware and software design is simple and can be implemented by a single-chip microcontroller for real-time applications.

Bookmarks Related papers MentionsView impact

19th IEEE International Multi-Conference on Systems, Signals and Devices (SSD2022), 2022

There is an increasing need for portable respirators due to the Corona pandemic, and these device... more There is an increasing need for portable respirators due to the Corona pandemic, and these devices need small size and low cost oxygen concentrators. This paper aims to use reverse engineering concepts in the design and implementation of a portable oxygen concentrator to assist respiratory patients. It also deals with the study of the properties of chemicals suitable for use in the proposed device. Practical tests of the device showed its ability to produce 10 liters per minute with a purity of 98% oxygen. The engineering style of the device is low cost, compact and can be easily used in homes, ambulances and work sites.

Bookmarks Related papers MentionsView impact

Fourth International Conference on Electrical Machines and Drives, IET, 13 September 1989through 15 September 1989, 1989

Search coils can be conveniently and economically mounted on the stator teeth for the measurement... more Search coils can be conveniently and economically mounted on the stator teeth for the measurement of air gap flux. However, in the present application they are also used for injection of relatively high frequency signals, which can be detected by other search coils. The detected signals are modulated by rotor position because the configuration of the rotor poles presents a reluctance variation dependent on the position of the poles relative to the stator. The variation in the induced voltage in the receiver search coil is shown for the two extremes of rotor position which give maximum and minimum coupling. It is apparent that there is a sufficiently wide variation in induced voltage for rotor position detection to be a practical possibility.

Bookmarks Related papers MentionsView impact

4th IEEE Intr. MultiConf. on Systems, Signals, Devices (SSD2007), 2007

The trend towards the adoption of direct drive washing machines utilizing PM motors is increasing... more The trend towards the adoption of direct drive washing machines utilizing PM motors is increasing due to the mechanical simplicity, high performance and efficiency of the system. This work deals with design and performance of a sensorless PM motor drive for washing machines. An implicit rotor position detection unit which consists of groups of search coils are inserted into the motor stator. A simple neuro-fuzzy controller has been used. The results given in this paper demonstrate the capability of such a drive system in washing machine applications where simplicity, reliability and stability are more important issues.

Bookmarks Related papers MentionsView impact

3rd IEEE Intr. Conf. on Systems, Signals, Devices (SSD2005), 2005

The PM motor drive has been the object of many studies. These drive systems are becoming particul... more The PM motor drive has been the object of many studies. These drive systems are becoming particularly popular in many industrial applications. They have many of the desirable performance characteristics of both the AC and DC motors. This work deals with design of a real-time control of a sensorless PM motor drive system. The system consists of two sections; the rotor detection without using any mechanical sensor, and PM motor control using fuzzy logic. The results given in this paper demonstrate the capability of such a drive system in applications where simplicity, reliability and stability are more important issues. .

Bookmarks Related papers MentionsView impact

16th IEEE Intr. Multi-Conf. on Systems, Signals, Devices (SSD2019) , 2019

This paper presents design and implementation of a monitoring and fault detection for photovoltai... more This paper presents design and implementation of a monitoring and fault detection for photovoltaic renewable energy system. A real-time monitoring unit based on wireless sensor networks is designed to monitor required variables related to each module and unit in the PV system. An intelligent algorithm based on fuzzy logic has been developed to detect and locate faults. A mathematical model together with an experimental prototype is designed to evaluate the performance of the proposed PV system under normal and faulty conditions. The obtained results from both simulated and experimental systems confirm that the implemented monitoring and fault detection system perform the required tasks with acceptable accuracy and cost. Applying realtime remote monitoring is easier to specify faults and observe the overall performance of any solar PV system.

Bookmarks Related papers MentionsView impact

Third International Conference on Systems, Signals & Devices (SSD2005), 2005

Premature infant incubator system is a vital and critical area because it deals with premature in... more Premature infant incubator system is a vital and critical area because it deals with premature infant or illness baby. It is essential to detect any abnormal conditions occur in the premature infant incubator system as soon as possible. Temperature, humidity, and oxygen concentration are the main parameters must be control in the premature infant incubator system. In this paper novel technique by using Artificial Neural Network ANN is used in order to simulate the premature infant incubator control system by implementing the back propagation method. Sensors are used to indicate temperature, humidity, and oxygen concentration of the incubator internal environment. Sensors output are entering to the ANN, which identify the corresponding case and decide the suitable reaction upon previous training. The proposed ANN premature incubator control system in all conditions that can occur in the premature infant incubator environment proved right decision.

Bookmarks Related papers MentionsView impact

Third International Conference on Systems, Signals & Devices (SSD2005), 2005

Premature infant incubator system is a vital and critical area because it deals with premature in... more Premature infant incubator system is a vital and critical area because it deals with premature infant or illness baby. It is essential to detect any abnormal conditions occur in the premature infant incubator system as soon as possible. Temperature, humidity, and oxygen concentration are the main parameters must be control in the premature infant incubator system. In this paper novel technique by using Artificial Neural Network ANN is used in order to simulate the premature infant incubator control system by implementing the back propagation method. Sensors are used to indicate temperature, humidity, and oxygen concentration of the incubator internal environment. Sensors output are entering to the ANN, which identify the corresponding case and decide the suitable reaction upon previous training. The proposed ANN premature incubator control system in all conditions that can occur in the premature infant incubator environment proved right decision.

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

15th IEEE Intr. Multi-Conf. on Systems, Signals, Devices (SSD18), , 2018

The main objective of this research is to design and implement a real-time monitoring and control... more The main objective of this research is to design and implement a real-time monitoring and control system for factory automation based on wireless sensor networks. A flexible manufacturing system with four load/unload stations for programmable machines, a manipulator, a conveyor belt, and a MATLAB Simulink model has been designed. Each unit in the proposed FMS is considered as a node in a wireless sensor network. A fuzzy-based algorithm has been developed as intelligent decision maker to obtain the destination load/unload station for the selected object. The obtained results from both real and simulated systems confirm that the implemented FMS perform the required tasks with acceptable accuracy and speed.

Bookmarks Related papers MentionsView impact

The main objective of this research is to design and implement a real-time monitoring and control... more The main objective of this research is to design and implement a real-time monitoring and control system for factory automation based on wireless sensor networks. A flexible manufacturing system with four load/unload stations for programmable machines, a manipulator, a conveyor belt, and a MATLAB Simulink model has been designed. Each unit in the proposed FMS is considered as a node in a wireless sensor network. A fuzzy-based algorithm has been developed as intelligent decision maker to obtain the destination load/unload station for the selected object. The obtained results from both real and simulated systems confirm that the implemented FMS perform the required tasks with acceptable accuracy and speed.

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ABSTRACT

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ARID international journal for science and technology, Dec 15, 2022

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

This paper presents design and implementation of a monitoring and fault detection for photovoltai... more This paper presents design and implementation of a monitoring and fault detection for photovoltaic renewable energy system. A real-time monitoring unit based on wireless sensor networks is designed to monitor required variables related to each module and unit in the PV system. An intelligent algorithm based onfuzzy logic has been developed to detect and locate faults. A mathematical model together with an experimental prototype is designed to evaluate the performance of the proposed PV system under normal and faulty conditions. The obtained results from both simulated and experimental systems confirm that the implemented monitoring and fault detection system perform the required tasks with acceptable accuracy and cost. Applying real-time remote monitoring is easier to specify faults and observe the overall performance of any solar PV system.

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Journal of Computer Science, Aug 1, 2007

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