Data Migration
4.1 Introduction
For the continued evolution of the Health and Usage Monitoring Systems, it is of vital importance to be able to aggregate the experience already obtained by the systems currently in service. For an airframe OEM, this involves collecting data at regular intervals from all of its .eet, typically involving multiple HUMS models and versions produced by delivered HUMS OEMs. Collecting and fusing data from di.erent HUMS models and versions poses several technical challenges, as each system organizes its data storage in di.erent ways. This chapter presents a data handling system which has been developed as part of this PhD study. The data handling system is designed to fuse the data from di.erent systems and system versions into a common database, so that this data can be accessed through a single interface. Such a tool is essential for extracting and aggregating the experience obtained through
all
HUMS
solutions
currently
and
formerly
in
use
[49].
4.2 Analysis Process
Although each HUMS solution on the market does things slightly di.erent, the
overall
process
is
more
or
less
the
same
(Fig.
4.1).
This
includes
the
datatypes that are recorded or derived by the HUMS. The fundamental data sources for usage monitoring are the .ight data parameters, i.e. informa-tion like airspeed, altitude and engine torque. These are used for generating event markers like engine overheat and rotor overspeed. The usage moni-toring function also calculates usage cycles, and generates event markers for components reaching their retirement age in terms of accumulated cycles. Each marker is stored with the contextual information relevant to its type.
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