Predictive Maintenance of Industrial Equipment Using IoT and Machine Learning

This study examines the predictive maintenance of industrial equipment. Through a Google form, we gathered various viewpoints from experts in the disciplines of Machine Learning (ML), the Internet of Things (IoT), and Information Technology. We learned from this survey that if we don't take any protective steps to maintain industrial equipment, a lot of rubbish will be produced, which will further contribute to pollution and several other issues, including a lack of equipment and many others. This study examines the predictive maintenance of industrial equipment. Through a Google form, we gathered various viewpoints from experts in the disciplines of machine learning, the Internet of Things, and Information Technology. We learned from this survey that if we don't take any proactive steps to maintain industrial equipment, a lot of rubbish will be produced, which will further contribute to pollution and several other issues, including a lack of equipment and many others. IoT is widely used, and devices are prevalent across numerous industries. To ensure the best operation of machinery and processes, industrial IoT makes use of IoT devices and sensors to monitor machines and environments. One Industrial IoT technology that has gained interest recently is predictive maintenance, which tracks the health of equipment to predict the likely failure of components. Massive volumes of data are gathered, handled, and finally analyzed using Machine Learning algorithms to enable effective Predictive Maintenance.