Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
A machine failure is often characterized by a sudden increase in the vibration acceleration level. We propose a wireless and battery-free vibration sensor and a method for condition monitoring and predictive maintenance of vibrating objects such as machines and engines. The principal part of our system is a piezoelectric transducer that acts both as a vibration intensity sensor and in addition as an energy source for the sensor circuitry. Our system consists of a battery-free sensor attached to the monitored object that transmits vibration data to a remote Base Station (BS) wirelessly via Bluetooth Low Energy (BLE) beacons. The vibration data is interpreted remotely by the BS via time-domain readout by analyzing the advertising time Tadv of the beacons received by the BS, that can monitor the vibrations and can send a standby signal to the machines in case of emergent faults.