Utilizing On-Aircraft Distributed Fault Data to Improve the Removal Decision Process

摘要

This paper uses data from a UH-60 BLACKHAWK bearing monitored by the Integrated Mechanical Diagnostics - Health and Usage Monitoring System (IMD-HUMS) from early degradation identification to removal. The paper examines the effectiveness of the condition indicators, explores additional bearing resonances and improves the removal decision making process. Spectral data collected by the system is reviewed to determine the frequency ranges of the dominant bearing resonances and the time rate of change of the bearing energy in selected frequency bands. Short segments of vibration data in the time domain were used to analyze two additional resonance bands. These additional bands provided no improvement in identification of the fault over the IMD-HUMS band. There was no clear evidence of fault energy migrating from high to low frequency and exponential growth in bearing energy before the component was removed from service.