Method and apparatus for anomaly analysis of a subsystem or component of a vehicle that experiences mechanical vibration during rotation of the subsystem or component of the vehicle

Abstract

Anomaly analysis is performed for a subsystem or component of a vehicle that experiences mechanical vibration during rotation of the subsystem or component using a database of trends of the axis of rotation and trends of vibrational frequencies of a plurality of different subsystems or components with known anomalies, and an artificial intelligence (AI) model. In operation, a first processor triangulates a location of the axis of rotation of the subsystem or component of the vehicle at any instance of time using motion data collected from a plurality of motion measurement sensors that are attached to the subsystem or component, thereby defining locations of the axis of rotation at a plurality of successive instances of time. A second processor determines, using the AI model and the trends of the axis of rotation in the database, points of interest from the locations of the axis of rotation of the subsystem or component at the successive instances of time. The anomaly of the subsystem or component is identified using the AI model and the trends of the axis of rotation and trends of vibrational frequencies in the database, wherein the AI model uses the points of interest in its processing. One or both of a cause of the anomaly and a recommended corrective action to be taken to address the anomaly is generated using the AI model, wherein the AI model uses the identified anomaly of the subsystem or component in its processing. The AI model outputs one or both of the cause of the anomaly, and the recommended corrective action to be taken to address the anomaly.