NDLI: The condition trend analysis of aircraft key components based on D-S evidence theory

Content Provider	IEEE Xplore Digital Library
Author	Jianguo Cui Jianqiang Shi Shiliang Dong Liying Jiang Rui Lv Haigang Liu
Copyright Year	2012
Description	Author affiliation: School of Automation, Shenyang Aerospace University, 110136, China (Jianguo Cui; Jianqiang Shi; Liying Jiang) \|\| Shenyang Aircraft Design & Research Institute, 110035, China (Shiliang Dong; Rui Lv; Haigang Liu)
Abstract	In order to improve and heighten the accuracy of condition trend analysis to key components of aircraft, to grasp their running state in time and avoid accidents, In the beginning, the paper analyze a lot of characteristic dates of running state from a large number of long-term tests deeply. On this basis, two condition trend analysis models: GM(1,1) and ARMA model are established, using these two models to analyze the condition trend of key components of aircraft, and operating the decision-level fusion of the results of the above models with D-S evidence theory. The research shows that both of GM(1, 1) model and ARMA model can predict the condition trend of key components of aircraft, and we can get the better result after using D-S evidence theory fusion. So this paper gives a good trend analysis method, and it has a good value of engineering application.
Starting Page	2264
Ending Page	2269
File Size	542188
Page Count	6
File Format	PDF
ISBN	9781457720734
e-ISBN	9781457720741
DOI	10.1109/CCDC.2012.6244363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Key Components of Aircraft Atmospheric modeling ARMA (n,m) Predictive models GM (1,1) Data models Condition Trend Analysis Mathematical model D-S Evidence Theory Aircraft Aircraft propulsion
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

Prediction of rural electricity consumption based on Grey-Markov model

Combined model of GM (0, N) and neural network algorithm for civil aircraft cost estimation

A research on parameters of accumulating method GM(1,1) model by matrix analysis

GM (1,1) model application in power load forecasting based on moving average method

The error analysis in GM(1,1) model via fractional power of grey generating

Development cost estimation of civil aircraft based on combination model of GM (1, N) and MLP neural network

Modeling solution and properties research on the General GM(1,1) model

Study of rainfall prediction model based on GM (1, 1) - Markov chain

Non-Equigap GM(1,1) Model via Weakening Buffer Operator and Its Application

The condition trend analysis of aircraft key components based on D-S evidence theory

Similar Documents

Prediction of rural electricity consumption based on Grey-Markov model

Combined model of GM (0, N) and neural network algorithm for civil aircraft cost estimation

A research on parameters of accumulating method GM(1,1) model by matrix analysis

GM (1,1) model application in power load forecasting based on moving average method

The error analysis in GM(1,1) model via fractional power of grey generating

Development cost estimation of civil aircraft based on combination model of GM (1, N) and MLP neural network

Modeling solution and properties research on the General GM(1,1) model

Study of rainfall prediction model based on GM (1, 1) - Markov chain

Non-Equigap GM(1,1) Model via Weakening Buffer Operator and Its Application

The condition trend analysis of aircraft key components based on D-S evidence theory