Failure Modes And Prognostic Techniques For H-60 Tail Rotor Drive System Bearings

Anomaly detection: A robust approach to detection of unanticipated faults

“…As more appropriate test data become available, these findings will be further improved, tuned and validated. Under the framework of the Air Vehicle Diagnostic and Prognostic Improvement Program, a joint effort carried out by the Army Research Laboratories (ARL), Impact Technologies and Georgia Tech, an intended task is to propose techniques to improve existing u.s. Army detection capabilities for UH-60 oil cooler fan bearing faults, such as those described in [2] and [22]. In an initial effort to demonstrate the basic capabilities of the anomaly detection methodology discussed in this paper, the team proceeded to test enhanced anomaly detection techniques on an industrial bearing with a small, naturally-occurring fault.…”

The modeling method on failure prognostics uncertainties in maintenance policy decision process

“…Extensive research on this technology has been carried out at home and abroad [8], [9], [10], [11] . The maintenance support policy with failure prognostics is based on the real time monitoring on the situation of the equipment.…”