Method and apparatus for anomaly analysis of a plurality of subsystems or components of a vehicle that experiences mechanical vibration during operation of the vehicle

Abstract

Anomaly analysis is performed for a plurality of subsystems or components of a vehicle that experiences mechanical vibration during operation of the vehicle using a database of vibrational profiles of a plurality of different subsystems or components of the vehicle with known anomalies, and an artificial intelligence (AI) model. Vibrational data is collected of each subsystem or component at any instance of time by a plurality of motion measurement sensors. The plurality of motion measurement sensors are located in the plurality of subsystems or components. The vibrational data is processed in the AI model to create a vibrational profile for each subsystem or component. The anomaly of each subsystem or component is identified by matching, using the AI model, the vibrational profile for each subsystem or component to a profile of an anomaly in the database. The AI model outputs, using the identified anomaly of each subsystem or component, one or both of a cause of the anomaly of each subsystem or component, and a recommended corrective action to be taken to address the anomaly of each subsystem or component.