HUMS CASE STUDY Enabling Predictive
Maintenance At Duke Energy in Charlotte, North Carolina, the GPMS Foresight system warned of an emerging problem with an ACC duplex bearing on the company’s Bell 407. According to a report from the Duke maintenance team, the predicted remaining useful life estimate indicated that the component had about 50 hours before risking collateral damage. Because the aircraft was coming in for a 2,500-hour inspection, the team decided to replace the bearing proactively. Following disassembly of the main gearbox, scuffing was noted on the ACC ball element and metallic fuzz on the chip detector. Although the degraded bearing may not have caused a safety event, Foresight’s capability to detect a problem and provide prognostics enabled maintenance to optimally schedule the part’s removal and move from a reactive to a predictive footing.
Bell 407GX
HUMS CASE STUDY Amplifying Efficiencies
Reuben Mann of SKYTRAC Systems explains how his Real-Time HUMS product helped one operator solve several challenges
resulting from his legacy HUMS installation, including: A 20- to 25-minute download process to get the data card from the aircraft to the station, including sign-off
A loss of up to 15% of weekly data per aircraft Approximately 100 man-hours each week to collect FDM data
fleetwide. “On this one project,” says Mann, “we were able to eliminate this time-consuming HUMS and FDM data download process and complete it within minutes after landing. At the same time, we enabled the HUMS data to be analyzed while the aircraft was flying, as we now host the Leonardo HUMS library on the aircraft. It monitors all defined HUMS parameters in real time and, if an exceedance occurs, it immediately lets someone on the ground know.”
AW139
Mann says the data that’s automatically downloaded after each flight helps operators plan for parts and repairs ahead of time. “SKYTRAC reduces both turnaround and unscheduled maintenance downtimes while also improving the safety of flight.”
2020 Q3 ROTOR 37
TOP: BELL PHOTO; BOTTOM: LEONARDO PHOTO
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