This paper describes the design and implementation of an embedded wireless vibration condition monitoring device. The goal was to design a device that uses machine learning techniques for fault diagnosis. A MEMS accelerometer attached to a microcontroller measures vibration and transmits the data wirelessly to a gateway. It is shown that the device is able to diagnose faults.