fault detection
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Real-Time Fault Detection and Diagnosis in Switched Reluctance Motor Using Advance Deep Neural Network for Electrical Vehicles and Industrial Applications
Abstract: In today world, electric motor play very big role in industry and daily life. Switched reluctance motor (SRM) is one of the important types of motor because it is simple in construction, low cost and high efficiency but SRM also faces many problems like noise, vibration and fault in power converter or winding. When these faults come, performance of motor goes down and sometime full system stops working. To solve …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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An Intelligent IoT-Based Approach for Smart Grid Monitoring and Fault Detection
Abstract: The modernization of power systems has led to the development of smart grids, integrating advanced communication and control technologies. This study presents an Internet of Things (IoT)- based smart grid monitoring and fault detection system. The proposed system includes sensors, microcontrollers, and cloud platforms that will be used to monitor the parameters of the grid, including voltage, current and frequency. Fault detection is achieved through threshold based and data analytics …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Machine Learning Based Optical Fiber Fault Detection and Localization Using OTDR Signals
Abstract: Optical fiber networks provide high bandwidth, low transmission loss, and immunity to electromagnetic interference, making them fundamental to modern communication infrastructure. However, fiber faults caused by cable cuts, excessive bending, connector degradation, splicing defects, and physical disturbances can significantly affect network reliability. Optical time-domain reflectometry (OTDR) is widely used for identifying and locating such faults, but conventional OTDR interpretation often depends on threshold-based signal processing and manual analysis. This study …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 · pp. 41–52 Read article