18477717. PREDICTION AND IDENTIFICATION OF POTENTIAL RAILWAY SYSTEM ANOMALIES (Robert Bosch GmbH)
PREDICTION AND IDENTIFICATION OF POTENTIAL RAILWAY SYSTEM ANOMALIES
Organization Name
Inventor(s)
Mohamed El-gammal of Windsor CA
PREDICTION AND IDENTIFICATION OF POTENTIAL RAILWAY SYSTEM ANOMALIES
This abstract first appeared for US patent application 18477717 titled 'PREDICTION AND IDENTIFICATION OF POTENTIAL RAILWAY SYSTEM ANOMALIES
Original Abstract Submitted
Systems and methods for predicting anomalies in a wheel system of a railway vehicle and a track. One example method includes determining a speed of the railway vehicle and whether the speed exceeds a speed threshold. The method includes obtaining, in response to the speed exceeding the threshold, a vibration measurement from a vibration sensor and determining, from the measurement, a classified vibration level and determining whether the classified vibration level is indicative of an anomaly, and deriving, in response to the classified vibration level being indicative of the anomaly, a dominant vibration frequency of the measurement. The method includes performing a comparison between the dominant vibration frequency and a predetermined frequency threshold, and identifying, based on the comparison and a reference classified vibration level, the anomaly existing within either or both of the railway vehicle wheel system and the track and performing a mitigation action.