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Fault detection and classification for flight control electromechanical actuators

Ismail, Mohamed A.A. and Balaban, Edward and Spangenberg, Holger (2016) Fault detection and classification for flight control electromechanical actuators. In: 2016 IEEE Aerospace Conference. IEEE Aerospace Conference, 5.-12. Mrz. 2016, Big Sky, MT, USA.

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Future aircraft architectures will incorporate more energy-efficient electromechanical actuators (EMA) for flight controls actuation. Development of reliable health monitoring techniques for EMAs promises to maintain or even increase the overall availability and safety of these new aircraft designs. When it comes to EMAs and similar mechanisms, certain fault types clearly manifest themselves through loss of functionality. Other faults, referred to as latent, do not immediately result in a significantly compromised actuator performance, thus making them challenging to detect. This paper presents a new vibration-based hybrid technique for detecting latent EMA faults without needing an initial stage of fault feature learning. The two faults considered in the study are a high-criticality jam and a low-criticality spall (metal flaking) in the actuator ballscrew mechanism. The actuator position is used to resample variable-speed vibration measurements of a single accelerometer into constant-rate measurements. A set of health characterization signatures is derived theoretically based on the EMA ballscrew kinematics. These theoretical signatures are compared with the signatures extracted from vibration signals measured experimentally on the EMA test articles. The vibration signatures approach is also compared to the diagnostic approach based on EMA motor current measurements. The ability to detect and classify latent faults early as high- or low-critical can improve maintenance planning and increase aircraft dispatch reliability. The technique has been validated on fault-injected data sets collected on the NASA Ames Research Center Flyable Electro-Mechanical Actuator (FLEA) test stand.

Item URL in elib:https://elib.dlr.de/103574/
Document Type:Conference or Workshop Item (Lecture)
Title:Fault detection and classification for flight control electromechanical actuators
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ismail, Mohamed A.A.Mohamed.Ismail (at) dlr.deUNSPECIFIED
Balaban, EdwardEdward.Balaban (at) nasa.govUNSPECIFIED
Spangenberg, HolgerHolger.Spangenberg (at) dlr.deUNSPECIFIED
Date:5 March 2016
Journal or Publication Title:2016 IEEE Aerospace Conference
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Vibration based diagnosis, Rolling contact fatigue, Ball-screw actuator, Angular resampling,
Event Title:IEEE Aerospace Conference
Event Location:Big Sky, MT, USA
Event Type:international Conference
Event Dates:5.-12. Mrz. 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Safety Critical Systems and Systems Engineering
Deposited By: Ismail, Dr. Mohamed AA
Deposited On:23 Mar 2016 15:55
Last Modified:01 Dec 2018 19:52

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