Prioritize Maintenance Using Fuzzy Logic
This project depicts the design and advancement of a Fuzzy Logic-based computerized system for prioritizing industrial machines maintenance work. Our system receives continuous real-time data such as temperature, lubricant level, sound, etc. from the current status of industrial machines. This data is passed on to our innovatively designed fuzzy controller. As an output, we get a priority index for each machine, based on input data and fuzzy logic algorithm. With the help of this priority index, we can schedule the maintenance. This is a user-friendly and easy to setup system that aims to improvise the schedule for maintenance at the industrial level. 
Keywords - Fuzzy logic, Prioritize Maintenance Work.