One of the most common reasons for problems in rotating machinery is bearing failure, which can be catastrophic and result in expensive downtime. Finding the fault at an early stage and alerting the operator before it worsens into a catastrophic failure is one of the primary concerns in bearing prognostics. Signal de-noising and extraction of the weak signature are essential for the sensor-based method’s bearing prognostics since the measurement mechanism’s inherent flaw frequently adds a significant amount of noise to the signal. Additionally, because a damaged bearing detector’s signature spans a large frequency range, noise and low-frequency effects can easily hide it. Typically, a vibration sensor mounted on a bearing detector collects the vibration signals.
