Data-Driven Detection of Wheel Imbalance Using Accelerometer Signals and Fuzzy Logic
This paper presents an experimental study of imbalance detection in a rotating bicycle wheel using vibration measurements from a tri-axial accelerometer. A laboratory test bench, in which a bicycle wheel equipped with an in-wheel motor has been mounted on a stand and instrumented with an accelerometer for real-time vibration monitoring, has been developed. Experiments have been conducted under balanced conditions and under controlled imbalance introduced by adding external mass to the wheel rim. Acceleration signals have been collected and analyzed in time and frequency domains.