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Memorias de investigación
Research Publications in journals:
Systematic Process for Building a Fault Diagnoser Based on Petri Nets Applied to a Helicopter
Year:2015
Research Areas
  • Automatic
Information
Abstract
This work presents a systematic process for building a Fault Diagnoser (FD), based on Petri Nets (PNs) which has been applied to a small helicopter. This novel tool is able to detect both intermittent and permanent faults. The work carried out is discussed from theoretical and practical point of view. The procedure begins with a division of the whole system into subsystems, which are the devices that have to be modeled by using PN, considering both the normal and fault operations. Subsequently, the models are integrated into a global Petri Net diagnoser (PND) that is able to monitor a whole helicopter and show critical variables to the operator in order to determine the UAV health, preventing accidents in this manner. A Data Acquisition System (DAQ) has been designed for collecting data during the flights and feeding PN diagnoser with them. Several real flights (nominal or under failure) have been carried out to perform the diagnoser setup and verify its performance. A summary of the validation results obtained during real flight tests is also included. An extensive use of this tool will improve preventive maintenance protocols for UAVs (especially helicopters) and allow establishing recommendations in regulations
International
Si
JCR
Si
Title
Mathematical Problems in Engineering
ISBN
1024-123X
Impact factor JCR
1,082
Impact info
Datos JCR del año 2013
Volume
10.1155/2015/963756
Journal number
From page
1
To page
13
Month
SEPTIEMBRE
Ranking
Participants
  • Autor: Miguel Angel Trigos Martínez (UPM)
  • Autor: Antonio Barrientos Cruz (UPM)
  • Autor: Jaime del Cerro Giner (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Robótica y Cibernética
  • Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
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