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  • Open Access


    Fault Recognition of Multilevel Inverter Using Artificial Neural Network Approach

    Aravind Athimoolam1,*, Karthik Balasubramanian2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1331-1347, 2023, DOI:10.32604/iasc.2023.033465

    Abstract This paper focuses on the development of a diagnostic tool for detecting insulated gate bipolar transistor power electronic switch flaws caused by both open and short circuit faults in multi-level inverter time-frequency output voltage specifications. High-resolution laboratory virtual instrument engineering workbench software testing tool with a sample rate data collection system, as well as specialized signal processing and soft computing technologies, are used in this proposed method. On a single-phase cascaded H-bridge multilevel inverter, simulation and experimental investigations of both open and short issues of the insulated gate bipolar transistor components are performed out. In More >

  • Open Access


    Fault Tolerant Optical Mark Recognition

    Qamar Hafeez1, Waqar Aslam1, M. Ikramullah Lali2, Shafiq Ahmad3, Mejdal Alqahtani3, Muhammad Shafiq4,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3829-3847, 2023, DOI:10.32604/cmc.2023.026422

    Abstract Optical Mark Recognition (OMR) systems have been studied since 1970. It is widely accepted as a data entry technique. OMR technology is used for surveys and multiple-choice questionnaires. Due to its ease of use, OMR technology has grown in popularity over the past two decades and is widely used in universities and colleges to automatically grade and grade student responses to questionnaires. The accuracy of OMR systems is very important due to the environment in which they are used. The OMR algorithm relies on pixel projection or Hough transform to determine the exact answer in… More >

  • Open Access


    Effects of Spark Energy on Spark Plug Fault Recognition in a Spark Ignition Engine

    A. A. Azrin1,*, I. M. Yusri1,2, M. H. Mat Yasin3, A. Zainal4

    Energy Engineering, Vol.119, No.1, pp. 189-199, 2022, DOI:10.32604/EE.2022.017843

    Abstract The increasing demands for fuel economy and emission reduction have led to the development of lean/diluted combustion strategies for modern Spark Ignition (SI) engines. The new generation of SI engines requires higher spark energy and a longer discharge duration to improve efficiency and reduce the backpressure. However, the increased spark energy gives negative impacts on the ignition system which results in deterioration of the spark plug. Therefore, a numerical model was used to estimate the spark energy of the ignition system based on the breakdown voltage. The trend of spark energy is then recognized by… More >

  • Open Access


    Fault Aware Dynamic Resource Manager for Fault Recognition and Avoidance in Cloud

    Nandhini Jembu Mohanram1,2,*, Gnanasekaran Thangavel3, N. M. Jothi Swaroopan4

    Computer Systems Science and Engineering, Vol.38, No.2, pp. 215-228, 2021, DOI:10.32604/csse.2021.015027

    Abstract Fault tolerance (FT) schemes are intended to work on a minimized and static amount of physical resources. When a host failure occurs, the conventional FT frequently proceeds with the execution on the accessible working hosts. This methodology saves the execution state and applications to complete without disruption. However, the dynamicity of open cloud assets is not seen when taking scheduling choices. Existing optimization techniques are intended in dealing with resource scheduling. This method will be utilized for distributing the approaching tasks to the VMs. However, the dynamic scheduling for this procedure doesn’t accomplish the objective… More >

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