An Algorithm for Determination of Bearing Health Through Automated Vibration Monitoring
Abstract:
This report investigates considerations involved in designing an expert system capable of real-time monitoring of turbine engine vibration data to detect rolling element bearing faults. Topics include development of the fundamental bearing fault frequencies, data analysis techniques, results of manual analysis, and considerations in bearing health criteria and monitoring. Methodologies are described for characterization of engine family vibration across the engines envelope, and a bearing health monitoring algorithm is discussed in detail. Work reported will be extended and automated to encompass a complete vibration based turbine engine Health Monitoring System HEMOS. When completely developed, HEMOS will likely augment the multifaceted capabilities of the Computer Assisted Dynamic Data Monitoring and Analysis System CADDMAS under development by the Directorate of Technology - Propulsion Division DOTP of Arnold Engineering Development Center AEDC, Air Force Materiel Command AFMC, Arnold AFB, TN.