NDLI: Robust monitoring of turbofan sensors

Content Provider	IEEE Xplore Digital Library
Author	Lacaille, J.
Copyright Year	2014
Description	Author affiliation: Snecma (Safran Group), Moissy-Cramayel, France (Lacaille, J.)
Abstract	Bench development tests of new turbofan engines make an important use of sensor measurements to help engineers understand the behavior of new components design. Such tests are expensive and may be completely compromised if any measurement is missing. One of the big challenges about development tests is to minimize the number of sensors as each measurement has a non-negligible cost. However, if we suppress most of the existing redundancy it becomes very important to ensure a nominal working of the surviving sensors. On another hand, development tests are aimed to excite the systems in very specific configurations, often at the edge of the normal operational range, so very specific and original observations are frequent; thus testing if the sensor behaves according to specification is a challenge. Some sensor failures such as harness intermittencies are easy to detect because the fault pattern is specific, but a drift, a bias or even a trend caused by regulation and correction are not easy to highlight. To compensate the context variation, we model each sensor measurement, some models use only context dependencies given by nearby or redundant information and others make use of the temporal relations to consider the time dependency and continuity. The sensor model does not need to be very precise and more specifically it may be limited to specific regimes chosen among the m o s t recurrent configurations, hence improving local robustness. An autoadaptive clusterisation algorithm calibrated on the fly, identifies such recurrent configurations. The sensor models may be updated on line and the quality of each sensor is finally observed by analyzing the evolution of its model parameters or its frequency response for time dependent models. Clearly, the resulting model may be polluted by dependent and potentially faulty measurements, especially on controlled systems. Anyway, from these computations, clues to detect the specific faulty acquisition chains among a set of measurements are given and the methodology proposes an algorithmic correction scheme. The fault diagnostic is implemented in two steps: the detection of a problem, then its localization. The faulty measurement may be replaced by an estimation that corrects the physical observation according to past and validated measurements.
Sponsorship	IEEE Aerosp. Electron. Syst. Soc.
Starting Page	1
Ending Page	8
File Size	1658923
Page Count	8
File Format	PDF
e-ISBN	9781479916221
DOI	10.1109/AERO.2014.6836193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Engines Temperature measurement Sensor phenomena and characterization Computational modeling Pollution measurement Market research
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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