Remote Vibration FFT Analyzer –Using Mobile App IOT and MATLAB Application

A new system to check machine vibrations from far away has been created. It uses sensor and IoT technology and MATLAB to show data. It's better than old ways because it uses new technology to watch things right away. Here's how it works: M5StickC device on the machine. This thing has a 3-axis IMU digital sensor that measures the acceleration. Then, it sends this info to phones using Bluetooth. This makes it a small, flexible IoT platform that collects reliable data. After that, an app sends this stuff to a cloud platform. There, a MATLAB program does something called Fast Fourier Transform (FFT) analysis. This gives you pictures of the signals in remotely showing how they change over time and how often they happen. Methods like remote vibration tests can spot equipment problems such as unbalance, gears and bearing issues on. This real-time data review and evaluation boost productivity and make things more accurate while cutting down on repair costs and time when machines aren't working. It allows factories to use predictive upkeep, which makes equipment more reliable and accurate. This means less downtime and cheaper maintenance overall. Key Words: IoT (Internet of Things), Fast Fourier Transform (FFT), Predictive maintenance