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.