IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

Abstract

Internet of Things (IoT) has seen rapid growth along with the recent advancement in information and communication area. With the introduction of new technologies, it has become easier to interact with machines and communicate with them. IoT cannot only be used to communicate and control these machines but it can be used further in diagnostics related to the detection or prediction of faults. As the infrastructure is advancing at a rapid speed, it has also become a need of the hour to update the way diagnostics and maintenance are carried out over them, to not only save cost but also time. This paper is a work in progress, where these opportunities will be explored in the context of IoT industrial applications.

Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learning

“…Researchers adapted the recent methods developed on IoT [20][21] more commonly due to ease of operation and access. Although this system is still in development and has a slow sample rate, further research is still ongoing with the increase in the sample rate and decrease in data loss [22].…”

Perspective Chapter: Fault Detection and Predictive Maintenance of Electrical Machines

“…More researchers are including these boards in their research because of their scalability. There have already been researches going on like the development of a condition monitoring system for wind turbines [14], weather sensors [15], electrical machines [16][17][18], autonomous vehicles [19], and robotics [20,21]. Most of these condition monitoring systems are still in development and might need much more improvement before they can become stable and be used on a large scale.…”

Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System

“…Computer-aided technologies, including Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), Computer-Aided Manufacturing (CAM), Finite Element Analysis (FEA), Product Data Management (PDM), etc., are quickly developing and playing a vitally critical role in the modern industry [2,3]. Advanced data analytics and the Internet of Things (IoT) connectivity have increased the volume of data usable from manufacturing, healthcare, and smart city environments [4]. IoT environment, coupled with data analytics, provides an essential resource for predictive maintenance, fault detection, the future health of manufacturing processes, and smart city developments [5].…”