Title :
Condition monitoring for reciprocating aircraft engines using fuzzy logic
Author :
Mair, Andreas ; Thurner, Thomas
Author_Institution :
Adv. Eng., BRP-Powertrain, Gunskirchen, Austria
Abstract :
This paper describes a method for monitoring the condition of reciprocating aircraft engines. In contrast to existing solutions our method is based on information from a single acceleration sensor attached onto the motor block. Model based signal processing using modal analysis and fuzzy logic in a hierarchical estimation scheme enables the possibility to observe engine health level. For each cylinder of the reciprocating system misfire detection and the identification of combustion failures on a per cylinder basis is possible.
Keywords :
aircraft; condition monitoring; engines; fuzzy logic; modal analysis; signal processing; acceleration sensor; combustion failures identification; condition monitoring; fuzzy logic; modal analysis; model based signal processing; reciprocating aircraft engines; reciprocating system misfire detection; Acceleration; Aircraft propulsion; Combustion; Engines; Estimation; Monitoring; Torque; aircraft engine; condition monitoring; fuzzy logic; misfire detection; order analysis; reciprocating engine;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on
Conference_Location :
Taranto
Print_ISBN :
978-1-4244-7228-4
DOI :
10.1109/CIMSA.2010.5611773