This work introduces the on-board vibrational condition monitoring of aircrafts
powerplants by its original novel approach of distributed WSN based vibrational
condition monitoring.
Proposed approach allows to employ computationally intensive methods of vibra-
tional signal processing and methods of condition monitoring in computationally
weak wireless sensor network.
It introduces the fault detection method based on novelty detection which is executed
directly in wireless sensor nodes.
The novel framework of WSN condition monitoring system with its key attributes
Adaptivity, Recon gurability and Three phases of operation enables the immediate
fault detection capability while providing long-term monitoring.
The proposed methods and framework were evaluated by the means of experiment
on the small turbojet engine.
cze
dc.language.iso
en
en
dc.title
Distributed Signal Processing in Wireless Sensor Networks for Diagnostics
en
dc.type
disertační práce
cze
dc.description.department
Katedra měření
theses.degree.discipline
Měřicí technika
theses.degree.grantor
České vysoké učení technické v Praze. Fakulta elektrotechnická. Katedra měření