Sensors-Based Electric Machine Design for Industry

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 04 | 01 | Page :
    By

    Shaikh Heena T,

  • Dr. Kazi Kutubuddin Sayyad Liyakat,

  1. Assistant Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  2. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, ensuring that the wheels of industry turn with unparalleled precision and resilience. The relentless drive for efficiency, reliability, and intelligence in modern industrial operations necessitates a paradigm shift in electric machine design. This abstract introduces the transformative concept of sensors-based electric machine design, wherein sensing capabilities are not merely added as afterthoughts but are intrinsically integrated into the foundational architecture of motors, generators, and actuators from the conceptual stage. This approach moves beyond traditional control loops, fostering machines that are “self-aware.” By embedding a diverse array of sensors—measuring parameters like speed, torque, temperature, vibration, current, voltage, and magnetic flux—designers can create systems that offer unparalleled precision control, real-time diagnostics, and predictive maintenance capabilities. This integration enables sophisticated closed-loop control algorithms, facilitates digital twin creation for virtual commissioning and lifecycle management, and lays the groundwork for truly autonomous and self-optimizing industrial electromechanical systems. Ultimately, sensors-based design is key to unlocking new levels of performance, energy optimization, and operational longevity, positioning industry for the demands of Industry 4.0 and beyond.

Keywords: Sensor, Electric Motor, Industry 4.0, Electric Machine, Speed, Torque.

How to cite this article:
Shaikh Heena T, Dr. Kazi Kutubuddin Sayyad Liyakat. Sensors-Based Electric Machine Design for Industry. International Journal of Electrical Machine Analysis and Design. 2026; 04(01):-.
How to cite this URL:
Shaikh Heena T, Dr. Kazi Kutubuddin Sayyad Liyakat. Sensors-Based Electric Machine Design for Industry. International Journal of Electrical Machine Analysis and Design. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijemad/article=2026/view=240174


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Ahead of Print Subscription Review Article
Volume 04
01
Received 02/12/2025
Accepted 21/02/2026
Published 16/04/2026
Publication Time 135 Days
2

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