Induction Motor Condition Monitoring Using Hybrid AI and IoT System

We use a variety of electrical devices in our day-to-day operations. Home appliances, industrial applications, automobile applications, and other gadgets are among the devices available. So many electrical instruments rely on the electrical machine as their heart. If a fault arises in the machine, it will cause the instrument to malfunction. It can sometimes result in a dangerous situation. To avoid this, we must constantly monitor the electrical machine. If a problem arises, we must be informed as soon as possible. Only then will we be able to take corrective action and prevent fault occurrence. This way, we can leverage Artificial Intelligence (AI) and the Internet of Things (IoT) for electrical machine condition monitoring. AI focuses on creating intelligent machines that think and work like humans. The IoT is a network of connected systems that can collect and transfer data wirelessly without human involvement. We can take condition monitoring, control, and information exchange to the next level by combining these two approaches (AI-IoT). This study employs an induction motor for analysis purposes because it is one of the most widely used electric motors worldwide in a broad range of applications. Throughout its various operating stages, the induction motor is continuously monitored, and the state of the motor is updated to the user accordingly. Additionally, utilizing IoT and modern communication technologies makes it possible to remotely monitor and control the induction motor.We can achieve numerous advantages over traditional methods by combining these two methodologies (AI-IoT).

Keywords: AI-IoT, Artificial Intelligence (AI), Condition monitoring, Internet of Things (IoT), Induction otor.