Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Differential Voltage Current Conveyor-Based One-Shot Pulse Generator Circuit Implementation Read chapter Read first chapter

2017 | OriginalPaper | Chapter

ANFIS-Based Fault Diagnosis Tool for a Typical Small Aircraft Fuel System

Authors : Vijaylakshmi S. Jigajinni, Vanam Upendranath

Published in: Proceeding of International Conference on Intelligent Communication, Control and Devices

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In the present paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent diagnosis tool for investigating the health of a typical small aircraft fuel system simulation was proposed. The system was designed for identifying the faults present in the aircraft fuel system and to diagnose those conditions with a proper fuel flow to the engine. The ANFIS intelligent tool works based on the logical rules of an expert system, which are developed as per the engine’s fuel consumption and the fuel flow from the tanks. The inputs to train the ANFIS are the fuel flow at the previous instant and the engine’s fuel consumption and the corresponding target is the fuel tank’s control signals. Training of ANFIS, generates the control signals as per the fuel requirement of the engine and the fuel flow to the tanks. The proposed intelligent controller model was implemented in the platform of MATLAB/Simulink and a comparison with the other techniques allowed the effectiveness of the proposed model.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Performance Analysis of AMC-Based Bowtie-Shaped Slotted Antenna for Terahertz (THz) Applications
next chapter Control of Reactive Power of RES-Based Hybrid Isolated Power System Using UPFC
Literature
1.
Zhi-Ling Yang, Wang Bin, Dong Xing-Hui, L I U Hao.: Expert system of fault diagnosis for gear box in wind turbine. In: Systems Engineering Procedia, Vol. 4, pp. 189–195, 2012
2.
Biswas Gautam, Gyula Simon, Nagabhushan Mahadevan, Sriram Narasimhan, John Ramirez, Gabor Karsai.: A robust method for hybrid diagnosis of complex systems. In: Proceedings of the 5th Symposium on Fault Detection, Supervision and Safety for Technical Processes, pp. 1125–1131, 2003
3.
Robert Breda, Vladimir Beno.: Modeling of Control Circuit of Aircraft fuel system. In: Przegląd Elektrotechniczny, Vol. 89, pp. 172–175, 2013
4.
Bohwa Lee, Sejin Kwon, Poomin Park, Keunbae Kim.: Active power management system for an unmanned aerial vehicle powered by solar cells, a fuel cell, and batteries. In: IEEE Transactions on Aerospace and Electronic Systems, Vol. 50, No. 4, pp. 3167–3177, 2014
5.
Insaurralde Carlos C, Miguel A Seminario, Juan F Jimenez, Jose M Giron-Sierra.: Computer tool with a code generator for avionic distributed fuel control systems with smart sensors and actuators. In: IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 38, No. 3, pp. 431–445, 2008
6.
Timothy G Davis.: Aircraft fuel system simulation. In: Proceedings of the IEEE National Conference in Aerospace and Electronics, pp. 905–911, 1990
7.
Ali Zolghadri.: Advanced model-based FDIR techniques for aerospace systems. Progress in Aerospace Sciences, Vol. 53, pp. 18–29, 2012
8.
Kamal M M, D W Yu, D L Yu.: Fault detection and isolation for PEM fuel cell stack with independent RBF model. Engineering Applications of Artificial Intelligence, Vol. 28, pp. 52–63, 2014
9.
Inseok Hwang, Sungwan Kim, Youdan Kim, Chze Eng Seah.: A survey of fault detection, isolation, and reconfiguration methods. In: IEEE Transactions on Control Systems Technology, Vol. 18, No. 3, pp. 636–653, 2010
10.
Zhang Y M, Jin Jiang.: Active fault-tolerant control system against partial actuator failures. In: IEEE proceedings-Control Theory and applications, Vol. 149, No. 1, pp. 95–104, 2002
11.
De Lillo Liliana, Lee Empringham, Pat W Wheeler, Sudarat Khwan-On, Chris Gerada, M Nazri Othman, Xiaoyan Huang.: Multiphase power converter drive for fault-tolerant machine development in aerospace applications. In: IEEE Transactions on Industrial Electronics, Vol. 57, No. 2, pp. 575–583, 2010
12.
Yu Xiang, Jin Jiang.: Hybrid fault-tolerant flight control system design against partial actuator failures. In: IEEE Transactions on Control Systems Technology, Vol. 20, No. 4, pp. 871–886, 2012
13.
Isermann Rolf, Peter Balle.: Trends in the application of model-based fault detection and diagnosis of technical processes. In: Control engineering practice, Vol. 5, No. 5, pp. 709–719, 1997
14.
Zhang Xiaodong, Thomas Parisini, Marios M Polycarpou.: Sensor bias fault isolation in a class of nonlinear systems. In: IEEE Transactions on Automatic Control, Vol. 50, No. 3, pp. 370–376, 2005
15.
Xu Yufei, Bin Jiang, Zhifeng Gao, Ke Zhang.: Fault tolerant control for near space vehicle: a survey and some new results. In: Journal of Systems Engineering and Electronics, Vol. 22, No. 1, pp. 88–94, 2011
16.
Talebi H A, K Khorasani.: A neural network-based multiplicative actuator fault detection and isolation of nonlinear systems. In: IEEE Transactions on Control Systems Technology, Vol. 21, No. 3, pp. 842–851, 2013
17.
Muenchhof Marco, Mark Beck, Rolf Isermann.: Fault-tolerant actuators and drives-Structures, fault detection principles and applications. In: Annual Reviews in Control, Vol. 33, No. 2, pp. 136–148, 2009
18.
Kelly Emma M, L M Bartlett.: Improved fault diagnostics of a dynamic aircraft fuel system using the digraph approach. In: Proceedings of the European Safety and Reliability Conference, Risk, Reliability and Societal Safety, pp. 801–808, 2007
19.
Yousef Shatnawi, Mahmood Al-Khassaweneh.: Fault Diagnosis in Internal Combustion Engines Using Extension Neural Network. In: IEEE Transactions on Industrial Electronics, Vol. 61, No. 3, pp. 1434–1443, 2014
20.
Tayarani-Bathaie Seyed Sina, Zakieh Nasim Sadough Vanini, Khashayar Khorasani.: Dynamic neural network-based fault diagnosis of gas turbine engines. Neurocomputing, Vol. 125, No. 11, pp. 153–165, 2014
21.
Papadopoulos Yiannis.: Model-based system monitoring and diagnosis of failures using state charts and fault trees. In: Reliability Engineering & System Safety, Vol. 81, No. 3, pp. 325–341, 2003
22.
Jimenez Juan F, Jose M Giron-Sierra, C Insaurralde, M Seminario.: A simulation of aircraft fuel management system. In: Simulation Modelling Practice and Theory, Vol. 15, No. 5, pp. 544–564, 2007
23.
Narasimhan Sriram, Gautam Biswas.: Model-based diagnosis of hybrid systems. In: IEEE Transactions on Systems, Man, and Cybernetics, Vol. 37, No. 3, pp. 348–361, 2007
24.
Bartlett Lisa M, E E Hurdle, Emma M Kelly.: Integrated system fault diagnostics utilising digraph and fault tree-based approaches. In: Reliability Engineering & System Safety, Vol. 94, No. 6, pp. 1107–1115, 2009
25.
Shen Ting, Fangyi Wan, Weimin Cui, Bifeng Song.: Application of prognostic and health management technology on aircraft fuel system. In: Prognostics and Health Management Conference of IEEE, pp. 1–7, 2010
26.
T.R. Sumithira, A. Nirmal Kumar.: Elimination of Harmonics in Multilevel Inverters Connected to Solar Photovoltaic Systems Using ANFIS: An Experimental Case Study. In: Journal of Applied Research and Technology, vol. 11, pp. 124–132, February 2013
27.
J.J. Mora, G. Carrillo, L. Perez.: Fault Location in Power Distribution Systems using ANFIS Nets and Current Patterns. In: Transmission and Distribution Conference and Exposition Latin America, pp. 1–6, 2006
Metadata
Title
ANFIS-Based Fault Diagnosis Tool for a Typical Small Aircraft Fuel System
Authors
Vijaylakshmi S. Jigajinni
Vanam Upendranath
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceeding of International Conference on Intelligent Communication, Control and Devices

Print ISBN: 978-981-10-1707-0

Electronic ISBN: 978-981-10-1708-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1708-7_45

Premium Partner

    Image Credits