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A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning

A fault detection method for FADS system based on interval-valued neutrosophic sets, belief rule base, and D-S evidence reasoning
Author: Qianlei Jia
Publisher: Infinite Study
Total Pages: 20
Release:
Genre: Mathematics
ISBN:

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Fault detection, with the characteristics of strong uncertainty and randomness, has always been one of the research hotspots in the field of aerospace. Considering that devices will inevitably encounter various unknown interference in the process of use, which greatly limits the performance of many traditional fault detection methods. Therefore, the main aim of this paper is to address this problem from the perspective of uncertainty and randomness of measurement signal. In information engineering, interval-valued neutrosophic sets (IVNSs), belief rule base (BRB), and Dempster-Shafer (D-S) evidence reasoning are always characterized by the strong ability in revealing uncertainty, but each has its drawbacks. As a result, the three theories are firstly combined in this paper to form a powerful fault detection algorithm. Besides, a series of innovations are proposed to improve the method, including a new score function based on p-norm for IVNSs and a new approach of calculating the similarity between IVNSs, which are both proved by authoritative prerequisites. To illustrate the effectiveness of the proposed method, flush air data sensing (FADS), a technologically advanced airborne sensor, is adopted in this paper. The aerodynamic model of FADS is analyzed in detail using knowledge of aerodynamics under subsonic and supersonic conditions, meanwhile, the high-precision model is established based on the aerodynamic database obtained from CFD software.


The Facts on File Dictionary of Marine Science

The Facts on File Dictionary of Marine Science
Author: Barbara Charton
Publisher: Infobase Publishing
Total Pages: 481
Release: 2009
Genre: Science
ISBN: 1438109466

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The Facts On File Dictionary of Marine Science, New Edition contains nearly 3,000 entries.


System Identification (SYSID '03)

System Identification (SYSID '03)
Author: Paul Van Den Hof
Publisher: Elsevier
Total Pages: 2080
Release: 2004-06-29
Genre: Science
ISBN: 9780080437095

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The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.


Automatic Control in Aerospace 2004

Automatic Control in Aerospace 2004
Author: Alexander Nebylov
Publisher: Elsevier
Total Pages: 776
Release: 2005-10-03
Genre: Science
ISBN: 9780080440132

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Large Scale Systems 2004

Large Scale Systems 2004
Author: Masao Ikeda
Publisher: Elsevier
Total Pages: 400
Release: 2005-12-28
Genre: Science
ISBN: 9780080442723

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