Author
Kishore Bingi
Other affiliations: Universiti Teknologi Petronas, Petronas, Abubakar Tafawa Balewa University
Bio: Kishore Bingi is an academic researcher from VIT University. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 8, co-authored 63 publications receiving 335 citations. Previous affiliations of Kishore Bingi include Universiti Teknologi Petronas & Petronas.
Papers
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27 Aug 2021TL;DR: In this paper, an adaptive weighted whale optimization algorithm that helps avoid the getting trap at local minima during the convergence was developed, where the adaptive weight during each iteration of the algorithm also helps achieve optimal solutions during exploration and exploitation.
Abstract: This paper focuses on developing an adaptive weighted whale optimization algorithm that helps avoid the getting trap at local minima during the convergence. The adaptive weight during each iteration of the algorithm also helps achieve optimal solutions during exploration and exploitation. Further, various adaptive weights, including the chaotic consequences and traditional algorithm, are executed on multiple benchmark functions. The statistical results determined in terms of mean, best and standard deviation depict that the proposed adaptive weighted algorithm performs a higher level than conventional and chaotic weighted algorithms. The results also highlighted that the developed technique showed preferable performance for most minor functions than the traditional technique on achieving the worst global minima.
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TL;DR: In this paper, a bearing fault detection model for induction motors using line currents was developed using the park's vector approach and envelope based on the Hilbert transform, which has been evaluated on currents measured from eight different types of induction motors.
Abstract: This paper focuses on the development of a bearing fault detection model for induction motors using line currents. The graphical and numerical analysis of the model has been developed using the park's vector approach and envelope based on the Hilbert transform. The proposed model has been evaluated on currents measured from eight different types of induction motors. The graphical results from the Concordia pattern between d- and q-components of stator currents show that healthy bearing behaviour is circular compared to the faulty bearing's elliptical. The numerical results show that the minimum and maximum envelope of d- and q-components of stator currents is more significant than one. The sum of Kurtosis for the envelope of d- and q-components of stator currents is less than 5.0.
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TL;DR: In this article , a prediction-based adaptive duty cycle (PADC) MAC protocol has been proposed, which incorporates current and future harvested energy information using the mathematical formulation to improve network performance.
Abstract: The dynamic nature of energy harvesting rate, arising because of ever changing weather conditions, raises new concerns in energy harvesting based wireless sensor networks (EH-WSNs). Therefore, this drives the development of energy aware EH solutions. Formerly, many Medium Access Control (MAC) protocols have been developed for EH-WSNs. However, optimizing MAC protocol performance by incorporating predicted future energy intake is relatively new in EH-WSNs. Furthermore, existing MAC protocols do not fully harness the high harvested energy to perform aggressively despite the availability of sufficient energy resources. Therefore, a prediction-based adaptive duty cycle (PADC) MAC protocol has been proposed, called PADC-MAC, that incorporates current and future harvested energy information using the mathematical formulation to improve network performance. Furthermore, a machine learning model, namely nonlinear autoregressive (NAR) neural network, is employed that achieves good prediction accuracy under dynamic harvesting scenarios. As a result, it enables the receiver node to perform aggressively better when there is sufficient inflow of incoming harvesting energy. In addition, PADC-MAC uses a self-adaptation technique that reduces energy consumption. The performance of PADC-MAC is evaluated using GreenCastalia in terms of packet delay, network throughput, packet delivery ratio, energy consumption per bit, receiver energy consumption, and total network energy consumption using realistic harvesting data for 96 consecutive hours under dynamic solar harvesting conditions. The simulation results show that PADC-MAC provides lower average packet delay of the highest priority packets and all packets, energy consumption per bit, and total energy consumption by more than 10.7%, 7.8%, 81%, and 76.4%, respectively when compared to three state-of-the-art protocols for EH-WSNs.
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01 Jan 2020TL;DR: In this chapter, a Scilab based toolbox has been developed for fractional-order chaotic systems and the numerical solution has been obtained using Grunwald-Letnikov’s definition for fractiona-order derivative.
Abstract: In this chapter, a Scilab based toolbox has been developed for fractional-order chaotic systems. The systems include fractional-order Van der Pol and duffing oscillators and fractional-order Lorenz, Chen and Rossler’s systems. The dynamic behavior of these systems has been analyzed for various commensurate and non-commensurate orders using Scilab. In all these cases, the numerical solution has been obtained using Grunwald-Letnikov’s definition for fractional-order derivative.
1 citations
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TL;DR: The principles of a number of energy harvesting technologies applicable to industrial machines are overviews by investigating the power consumption of WSNs and the potential energy sources in mechanical systems.
Abstract: Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.
147 citations
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TL;DR: Explicit formulas and graphs of few special functions are derived in this article on the basis of various definitions of various fractional derivatives and their applications are also reviewed in the paper, where the authors also review their applications.
Abstract: Explicit formula and graphs of few special functions are derived in the paper on the basis of various definitions of various fractional derivatives and various fractional integrals. Their applications are also reviewed in the paper.
140 citations
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TL;DR: This review provides a concise and comprehensive summary of the progress made in the development of VO-FC analytical and computational methods with application to the simulation of complex physical systems.
Abstract: Variable-order fractional operators were conceived and mathematically formalized only in recent years. The possibility of formulating evolutionary governing equations has led to the successful application of these operators to the modelling of complex real-world problems ranging from mechanics, to transport processes, to control theory, to biology. Variable-order fractional calculus (VO-FC) is a relatively less known branch of calculus that offers remarkable opportunities to simulate interdisciplinary processes. Recognizing this untapped potential, the scientific community has been intensively exploring applications of VO-FC to the modelling of engineering and physical systems. This review is intended to serve as a starting point for the reader interested in approaching this fascinating field. We provide a concise and comprehensive summary of the progress made in the development of VO-FC analytical and computational methods with application to the simulation of complex physical systems. More specifically, following a short introduction of the fundamental mathematical concepts, we present the topic of VO-FC from the point of view of practical applications in the context of scientific modelling.
127 citations
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TL;DR: In this article, the authors explore existing networking communication technologies for the Internet of Things (IoT), with emphasis on encapsulation and routing protocols, and the relation between the IoT network protocols and the emerging IoT applications is also examined.
Abstract: Internet of Things (IoT) constitutes the next step in the field of technology, bringing enormous changes in industry, medicine, environmental care, and urban development. Various challenges are to be met in forming this vision, such as technology interoperability issues, security and data confidentiality requirements, and, last but not least, the development of energy efficient management systems. In this paper, we explore existing networking communication technologies for the IoT, with emphasis on encapsulation and routing protocols. The relation between the IoT network protocols and the emerging IoT applications is also examined. A thorough layer-based protocol taxonomy is provided, while how the network protocols fit and operate for addressing the recent IoT requirements and applications is also illustrated. What is the most special feature of this paper, compared to other survey and tutorial works, is the thorough presentation of the inner schemes and mechanisms of the network protocols subject to IPv6. Compatibility, interoperability, and configuration issues of the existing and the emerging protocols and schemes are discussed based on the recent advanced of IPv6. Moreover, open networking challenges such as security, scalability, mobility, and energy management are presented in relation to their corresponding features. Lastly, the trends of the networking mechanisms in the IoT domain are discussed in detail, highlighting future challenges.
127 citations