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  • Open Access

    ARTICLE

    An Efficient IIoT-Based Smart Sensor Node for Predictive Maintenance of Induction Motors

    Majida Kazmi1,*, Maria Tabasum Shoaib1,2, Arshad Aziz3, Hashim Raza Khan1,2, Saad Ahmed Qazi1,2

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 255-272, 2023, DOI:10.32604/csse.2023.038464 - 26 May 2023

    Abstract Predictive maintenance is a vital aspect of the industrial sector, and the use of Industrial Internet of Things (IIoT) sensor nodes is becoming increasingly popular for detecting motor faults and monitoring motor conditions. An integrated approach for acquiring, processing, and wirelessly transmitting a large amount of data in predictive maintenance applications remains a significant challenge. This study presents an IIoT-based sensor node for industrial motors. The sensor node is designed to acquire vibration data on the radial and axial axes of the motor and utilizes a hybrid approach for efficient data processing via edge and… More >

  • Open Access

    ARTICLE

    Fault Diagnosis of Industrial Motors with Extremely Similar Thermal Images Based on Deep Learning-Related Classification Approaches

    Hong Zhang1,*, Qi Wang1, Lixing Chen1, Jiaming Zhou1, Haijian Shao2

    Energy Engineering, Vol.120, No.8, pp. 1867-1883, 2023, DOI:10.32604/ee.2023.028453 - 05 June 2023

    Abstract Induction motors (IMs) typically fail due to the rate of stator short-circuits. Because of the similarity of the thermal images produced by various instances of short-circuit and the minor interclass distinctions between categories, non-destructive fault detection is universally perceived as a difficult issue. This paper adopts the deep learning model combined with feature fusion methods based on the image’s low-level features with higher resolution and more position and details and high-level features with more semantic information to develop a high-accuracy classification-detection approach for the fault diagnosis of IMs. Based on the publicly available thermal images More > Graphic Abstract

    Fault Diagnosis of Industrial Motors with Extremely Similar Thermal Images Based on Deep Learning-Related Classification Approaches

  • Open Access

    ARTICLE

    Indirect Vector Control of Linear Induction Motors Using Space Vector Pulse Width Modulation

    Arjmand Khaliq1, Syed Abdul Rahman Kashif1, Fahad Ahmad2, Muhammad Anwar3,*, Qaisar Shaheen4, Rizwan Akhtar5, Muhammad Arif Shah5, Abdelzahir Abdelmaboud6

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6263-6287, 2023, DOI:10.32604/cmc.2023.033027 - 28 December 2022

    Abstract Vector control schemes have recently been used to drive linear induction motors (LIM) in high-performance applications. This trend promotes the development of precise and efficient control schemes for individual motors. This research aims to present a novel framework for speed and thrust force control of LIM using space vector pulse width modulation (SVPWM) inverters. The framework under consideration is developed in four stages. To begin, MATLAB Simulink was used to develop a detailed mathematical and electromechanical dynamic model. The research presents a modified SVPWM inverter control scheme. By tuning the proportional-integral (PI) controller with a… More >

  • Open Access

    ARTICLE

    Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

    Majid Hussain1,2,*, Tayab Din Memon3,4, Imtiaz Hussain5, Zubair Ahmed Memon3, Dileep Kumar2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 435-470, 2022, DOI:10.32604/cmes.2022.020583 - 21 July 2022

    Abstract Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current Signature Analysis (MCSA) is widely reported as a condition monitoring technique in the detection and identification of individual and multiple Induction Motor (IM) faults. However, checking the fault detection and classification with deep learning models and its comparison among themselves or conventional approaches is rarely reported in the literature. Therefore, in this work, we present the detection and identification of induction motor faults with MCSA and three Deep Learning (DL)… More >

  • Open Access

    ARTICLE

    Synchronization of Robot Manipulators Actuated By Induction Motors with Velocity Estimator

    Felipe J. Torres1,*, Gerardo V. Guerrero2, Carlos D. García2, Ricardo Zavala-Yoe3, Mario A. García1, Adolfo R. López4

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 609-630, 2019, DOI:10.32604/cmes.2019.07153

    Abstract A complete modeling (including the actuator dynamics) of a robot manipulator that uses three-phase induction motors is presented in this paper. A control scheme is designed to synchronize robot manipulators actuated by induction motors under a masterslave scheme in the case where the joint velocity of the slave robots is estimated. All of the research on the synchronization of robot manipulators assumes the use of ideal actuators to drive the joints; for that reason, in this work, a three-phase induction motor is considered to be a direct-drive actuator for each joint. An entire model of… More >

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