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Research Paper | Electrical Engineering | Volume 15 Issue 5, May 2026 | Pages: 412 - 418 | India
Implementation of an Advanced Soft-Start Induction Motor System with Integrated IoT-Based Monitoring Technique: A Comprehensive Review
Abstract: Induction motors are extensively used in industrial and electric vehicle applications due to their robustness, cost-effectiveness, and low maintenance requirements. However, their performance is often affected by electrical, mechanical, and environmental faults, leading to reduced efficiency and unexpected failures. This review paper presents a comprehensive analysis of recent advancements in induction motor monitoring, fault diagnosis, and control techniques, with a focus on integrating soft-start mechanisms and Internet of Things (IoT)-based systems. Conventional methods such as Motor Current Signature Analysis (MCSA), vibration analysis, and thermal monitoring are discussed alongside modern approaches including artificial intelligence and data-driven techniques for enhanced fault detection. Furthermore, the role of IoT in enabling real-time monitoring, remote control, and predictive maintenance is critically examined. Recent developments in energy-efficient motor drives and soft-start technologies are also reviewed to highlight their impact on reducing inrush current and improving operational reliability. The study identifies key challenges such as lack of integrated systems and limited real-time decision-making capabilities. Finally, it emphasizes the need for intelligent, IoT-enabled, and energy-efficient solutions to enhance motor performance, reliability, and lifespan in modern industrial environments.
Keywords: Induction Motor, IoT, Soft Start, Fault Diagnosis, Predictive Maintenance
How to Cite?: Minakshi Ratnakarrao Kalambe, "Implementation of an Advanced Soft-Start Induction Motor System with Integrated IoT-Based Monitoring Technique: A Comprehensive Review", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 412-418, https://www.ijsr.net/getabstract.php?paperid=SR26504211849, DOI: https://dx.dx.doi.org/10.21275/SR26504211849