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22nd Asia Simulation Conference, AsiaSim 2023

作者： Zainal, Azavitra Wahab, Norhaliza Abdul Yusof, Mohd Ismail Razali, Mashitah Che Control and Mechatronics Engineering Department Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Johor Bahru Malaysia Instrumentation and Control Engineering Section Malaysian Institute of Industrial Technology Universiti Kuala Lumpur Johor Johor Bahru Malaysia Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal Melaka Malaysia

ISBN: (纸本)9789819972425

In this paper, a systematic method for determining the mathematical model for the pH neutralization process is proposed by applying system identification techniques to the controller design requirements. The identification is conducted experimentally using an actual pilot plant and analysis is performed using MATLAB toolbox for system identification. The identification is based on the first order plus dead time (FOPDT) method and subsequent application of model estimation and validation tests. In this study, pH is a controlled variable and alkali dosing pump stroke rate is a manipulated variable. The acid dosing pump stroke rate is fixed at 10%. Four open-loop step response experiments were conducted in which the alkali dosing pump stroke rate was set at 30% (Set A), 40% (Set B), 50% (Set C), and 60% (Set D). Based on the best fit performance criteria, Set B, Set C and Set D show approximately the same results. Frequency response analysis was performed using Bode plot and Nyquist diagram to determine the stability. The results show that Set B is more stable than Set C and Set D. The stability criterion is important because the obtained FOPDT model is used for controller design. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Pilot plants

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A Nonlinear Autoregressive Exogenous Neural Network (NARX) Model for the Prediction of the pH Neutralization Process for Palm Oil Mill Effluent 3rd

A Nonlinear Autoregressive Exogenous Neural Network (NARX) M...

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3rd International Conference on control, instrumentation and Mechatronics engineering, CIM 2022

作者： Zainal, Azavitra Wahab, Norhaliza Abdul Yusof, Mohd Ismail Control and Mechatronics Engineering School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Instrumentation and Control Engineering Section Malaysian Institute of Industrial Technology Universiti Kuala Lumpur Johor Bahru Malaysia

ISBN: (纸本)9789811939228

This paper introduces a Nonlinear Autoregressive Exogenous Neural Network (NARX) to predict the pH value of the Palm Oil Mill Effluent (POME). NARX is a computing tool that is widely used for nonlinear time series problems, the techniques that can predict efficient and good performance. In this paper, the pH neutralization process is a MISO (Multiple Input Single Output) systems, the inputs of which are the dosing stroke rates of acid and base, and the output value is the pH value. The neural network was built and trained using the experimental data collected in an open-loop test. The neural network structure for modeling the pH neutralization was identified and the training and validation of the neural network structure were analyzed. The result showed that the NARX modeling was able to predict the pH based on the acid and base dosing stroke rate with an overall regression of 0.9934 and MSE values of 0.000924197. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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NARXNN Modeling of Ultrafiltration Process for Drinking Water Treatment 22nd

NARXNN Modeling of Ultrafiltration Process for Drinking Wate...

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22nd Asia Simulation Conference, AsiaSim 2023

作者： Razali, Mashitah Che Wahab, Norhaliza Abdul Sunar, Noorhazirah Shamsudin, Nur Hazahsha Gaya, Muhammad Sani Zainal, Azavitra Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Johor Bahru Malaysia Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Melaka Durian Tunggal Malaysia Department of Electrical Engineering Kano University of Science and Technology Wudil Nigeria Instrumentation and Control Engineering Section Malaysian Institute of Industrial Technology Universiti Kuala Lumpur Johor Johor Bahru Malaysia

ISBN: (纸本)9789819972395

Ultrafiltration (UF) process has gained attention over times, particularly in treating drinking water treatment. A major challenge in achieving high quality of drinking water in UF process is membrane fouling. Membrane fouling has great effects on the performance of filtration process. To overcome fouling accurately, a prediction model is necessary. With prediction model, membrane fouling can be handled in a right way, so that, efficiency of filtration process can be maximize. This paper presents a study on modeling based on non-linear autoregressive with exogenous input neural network (NARXNN) of UF pilot plant specifically from treating drinking surface water. The NARXNN was used to model the permeate flux and transmembrane pressure (TMP). In this work, LM training algorithm was employed. The performance of the model was measured based on mean square error (MSE), root mean square error (RMSE) and correlation of coefficient (R). The simulation results demonstrate that proposed NARXNN modeling able to give high prediction rate with R value of 0.91743. It shows, the prediction values agree well with the actual values. With this model, membrane fouling can be successfully simulated and monitor accordingly. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Membrane fouling

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Online PD Measurement by Detecting the Pulsed Compensating Current in High Voltage Equipment 8

Online PD Measurement by Detecting the Pulsed Compensating C...

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8th International Conference on engineering, Applied Sciences, and Technology, ICEAST 2022

作者： Srinangyam, Chissanupong Pannil, Pittaya Nimsanong, Phethai Chuayin, Chaitawat Thungsook, Kittisak Pattanadech, Norasage School of Engineering King Mongkut's Institute of Technology Ladkrabang Electrical Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Instrumentation and Control Engineering Dept. Bangkok Thailand Power System Operation and Control Section 2 Power System Control Dept. Metropolitan Electricity Authority Bangkok Thailand School of Engineering Rajamangala University of Technology Rattanakosin Electrical Engineering Dept. Bangkok Thailand

ISBN: (数字)9781665459198

ISBN: (纸本)9781665459198

This paper discusses the pulsed compensating current caused by partial discharge (PD) phenomena that flows inside the electrical equipment installed in the power system. Such electrical equipment like to be the capacitive coupler in the partial discharge test circuit. In order to study the pulsed compensating current of the PD measurement, artificial PD source such as corona, surface, and internal was used in this experiment. The electrical equipment like surge arrester combined with HFCT sensor utilized to detect the PD pulse current. Furthermore, this proposed technique has been applied for online PD measurement in substations. It was found that the surge arrester could compensate for the pulse current arising from the PD source. This study will be helpful information for online PD measurement. © 2022 IEEE.

关键词： Partial discharges

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Impact of diameter on D-shaped POF sensors for salt detection

Impact of diameter on D-shaped POF sensors for salt detectio...

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International Laser Technology and Optics Symposium 2024, iLATOS2024

作者： Khan, Abdul Ali Thirunavakkarasu, Punithavathi M. bte Saidin, Norazlina Noor, Ahmad Shukri Muhammad Waqas, Nawaf Communication Technology Section Universiti Kuala Lumpur British Malaysian Institute Kuala lumpur53100 Malaysia Faculty of I.C.T BUITEMS Quetta87100 Pakistan Department of Electrical and Computer Engineering International Islamic University Malaysia Kuala Lumpur53100 Malaysia Department of Computer and Communication Systems Engineering Faculty of Engineering Universiti Putra Malaysia Selangor Malaysia Department of Instrumentation and Control Engineering Universiti Kuala Lumpur British Malaysian Institute Bt. 8 Jalan Sungai Pusu Selangor Gombak53100 Malaysia

This study investigates the relationship between the diameter of a D-shaped plastic optical fiber (POF) sensor and its optical response as a function of varying salt concentrations. A simple and efficient dry etching polishing technique was employed to create D-shaped POF sensors with a range of diameters. All the fabricated sensors were carefully developed to maintain a consistent length of 20 cm with a sensing region of 1cm. To evaluate the optical intensity response, each sensor, with its respective diameter, was examined with the salt concentration ranging from (0 to 5%) examination utilizing a spectrometer. The sensor response was characterized by quantifying the variations observed in the intensity of the optical signal propagating through the sensing region. The sensors having a diameter of 500 μm, 700 μm, and 900 μm had a sensitivity of 149 A.U/%salt, 66 A.U/%salt, and 11.2 A.U/%salt respectively. The sensitivity of the 500 μm diameter sensor increased 13 times approximately as compared to the sensor having diameter of 900 μm. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Dry etching

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The Verification of HF Signal Transmission via Grounding System for Online PD Measurement 8

The Verification of HF Signal Transmission via Grounding Sys...

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8th International Conference on engineering, Applied Sciences, and Technology, ICEAST 2022

作者： Srinangyam, Chissanupong Pannil, Pittaya Thungsook, Kittisak Promwong, Sathaporn Nimsanong, Phethai Pattanadech, Norasage School of Engineering King Mongkut's Institute of Technology Ladkrabang Electrical Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Instrumentation and Control Engineering Dept. Bangkok Thailand School of Engineering Rajamangala University of Technology Rattanakosin Electrical Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Telecommunication Engineering Dept. Bangkok Thailand Power System Operation and Control Section 2 Power System Control Dept. Metropolitan Electricity Authority Bangkok Thailand

ISBN: (数字)9781665459198

ISBN: (纸本)9781665459198

This paper discusses signal transmission in the grounding system. During online partial discharge (PD) measurement for the high voltage (HV) apparatus, various PD pulse currents recharge the dielectric of HV apparatus when a PD occurs. One of the noise typologies that affects PD patterns is called the cross-talk, that is, discharges that appear in the measured point due to coupling from another point. In order to study the cross-talk signal, the two PD measuring circuits which are circuit no.1 and circuit no.2, on the same grounding system in the HV laboratory were performed. The distance between two PD measuring circuits is about 20 meters. The artificial PD models were utilized to generate the PD signal injecting to the test circuit no.1, while the cross-talk signals were investigated in circuit no.2. The HFCT sensors were used to measure the PD signal in circuit 1 and the cross-talk signal in circuit 2. The measurement results found that the cross-talk signal transmission in grounding systems provides a bipolar PRPD pattern, and the pulse waveform shows an oscillation shape. Moreover, onsite PD measurements of the generator steam turbine were studied. It is noticeable that the knowledge about cross-talk phenomena in grounding systems can help the PD verification and location for online PD measurement. © 2022 IEEE.

关键词： Partial discharges

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Machine Learning and Intelligent Network System based Covid 19 Health Care System 3

Machine Learning and Intelligent Network System based Covid ...

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3rd International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2022

作者： Basha, Amjath Ali Jakul Saravanan, K. Mangayarkarasi, T. Balarengadurai, C. University of Technology and Applied Sciences Ibra Sultanate of Oman RCC - ENGG Department Computer Engineering Electrical and Electronic Section Department of Engineering Oman R.M.D Engineering College Department of Information Technology Tamil Nadu Chennai India Sri Sairam Engineering College Department of Instrumentation and Control Engineering Tamil Nadu Chennai India Vidyavardhaka College of Engineering Department of Computer Science and Engineering Karnataka Mysuru India

ISBN: (纸本)9781665462754

COVID-19 has lately infected a big number of people worldwide. Medical service frameworks are strained as a result of the infection. The emergency unit, which is part of the medical services area, has experienced several challenges as a result of the low data quality offered by existing ICU clinical equipment. The Internet of Things has enhanced the capability for essential information mobility in medical services in the twenty-first century. Nonetheless, many of today's ideal models use IoT innovation to assess patients' well-being. As a result, executives lack understanding regarding the most effective method to apply such innovation to ICU clinical equipment. The IoT Based Paradigm for Medical Equipment Management Systems, a breakthrough IoT-based paradigm for successfully administering clinical hardware in ICUs, is introduced in this study. During the COVID-19 episode, IoT technology is used to boost the data stream between clinical hardware, executive frameworks, and ICUs, enabling the maximum level of openness and reasonableness in clinical equipment redistribution. IoT MEMS conceptual and functional features were painstakingly drawn. Using IoT MEMS expands the capacity and limits of emergency clinics, effectively easing COVID-19. It will also have a substantial impact on the nature of the data and will improve the partners' trust and transparency. © 2022 IEEE.

关键词： COVID-19

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Experience in Partial Discharge Investigation of a 155 MVA Air-Cooled Generator

Experience in Partial Discharge Investigation of a 155 MVA A...

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International Conference on Properties and Applications of Properties and Applications of Dielectric Materials

作者： Khomsan Pathanrat Komin Chumpiboon Siwakorn Jeenmuang Tehneht Worthong Pittaya Pannil Norasage Pattanadech Electrical Engineering Dept. School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Maintenance Electrical Section Manager – Maintenance Electrical Phase 3‐5 Coal Fired Units Global Power Synergy Public Co. Ltd. Rayong Thailand Instrumentation and Control Engineering Dept. School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350374605

ISBN: (纸本)9798350386165

This paper presents the Partial Discharge (PD) and Polarization and Depolarization Current (PDC) investigation for a 155 MVA air-cooled generator. The visual inspection of the stator winding insulation was carried out during the annual preventive maintenance. Several defects in the area of the end winding stator were evidenced. Thereafter, the refurbishment of these problems was performed to improve the stator winding insulation condition, and the offline PD & PDC test was conducted accordingly. Besides, the online PD was continuously monitored, through capacitive PD sensors which have been installed on the terminal of the generator two units per phase. The operating conditions during online PD measurement were also recorded. In this paper, the results from both offline and online PD measurements were presented.

关键词： Partial discharges Partial discharge measurement Insulation Visualization Windings Stator windings Inspection Generators Discharges (electric) Monitoring

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Polarization and Depolarization Current Analysis for Underground Cable Problems

SSRN

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SSRN 2024年

作者： Pattanadech, Norasage Pannil, Pittaya Maneerot, Sakda Worthong, Tehneht Jeenmuang, Siwakorn Bunlaksananusorn, Chanin Department of Electrical Engineering School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand Department of Instrumentation and Control Engineering School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand TESLA Power Co. Ltd. Om Noi Samut Sakhon74130 Thailand Maintenance Electrical Section Manager - Maintenance Electrical Phase 3-5 Coal Fired Units Global Power Synergy Public Co. Ltd. Rayong21150 Thailand

The polarization and depolarization current (PDC) measurement was developed for diagnosis of the insulation system integrity in high voltage equipment and potentially be a valuable new analytical tool for industry in helping to determine the general condition of these modern insulation systems. The main objective of this study is to develop analytical equations regarding complex capacitance, interfacial polarization and conduction loss factor as derived from the general PDC test results which can describe and determine the experimental derivation, thereby helping to validate and enhance the theoretical foundation on which this research was based. The PDC experiments as described were performed on a 22 kV underground cable, both with and without cable joint. The PDC test results as presented prove that the advanced analytical techniques investigated are able to provide useful information to deeply understand high-voltage apparatus condition in relation to insulation condition and insulation performance of the high voltage equipment. © 2024, The Authors. All rights reserved.

关键词： Capacitance

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Biosignal-Based Attention Monitoring for Evaluating Train Driver Safety-Relevant Tasks

SSRN

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SSRN 2024年

作者： Kim, Jung Hwan Kim, Yeongjun Cho, Younggeol Kim, Tae Kyun Jang, Tongil Park, Chanwoo Kang, Seongkeun Advanced Instrumentation & Control Research Section Korea Atomic Energy Research Institute Daejeon Korea Republic of Department of Nuclear & Quantum Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of School of Computing Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Department of Railroad Electrical & Electronic Engineering Korea National University of Transportation Uiwang Korea Republic of System Safety Research Department Korea Railroad Research Institute Uiwang Korea Republic of

This study explores the impact of phone usage on train driver performance, a critical aspect influencing the safety of railroad operations. The persistent problem of phone distractions, which severely impair situational awareness and contribute to accidents, necessitates innovative solutions to enhance operational safety. Leveraging advancements in technology, this study introduces a novel approach combining electroencephalogram (EEG)-based analysis with deep learning algorithms to assess the effects of phone usage on the attention states of train drivers. Utilizing a full-type train simulator to replicate real-life scenarios, this study conducts an experimental design involving scenarios with and without phone engagement, aiming to provide a comprehensive assessment of phone usage on performance in critical situations. The deep learning model employed achieved an impressive classification accuracy of approximately 85.6% in distinguishing attention states among 25 participants, with high precision and recall values indicating its efficacy in detecting phone interaction. Moreover, findings reveal that phone usage leads to a 1.4 times increase in response time to situational awareness, significantly affecting driver performance. These findings highlight the significant impact of phone usage on train driver attention and underscore the potential of EEG-based analysis and deep learning in improving railroad safety measures. This study contributes to the growing body of safety literature by focusing on train drivers, offering fresh insights and practical implications for enhancing the safety and efficiency of railroad operations. © 2024, The Authors. All rights reserved.

关键词： Railroads

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