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2021 IEEE Transactions on Automatic Control  
Dimarogonas 818 Fault Diagnosability Analysis of Two-Dimensional Linear Discrete Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Pillai 768 A Novel Set-Theoretic Interval Observer for Discrete Linear Time-Invariant Systems . . . . . . F. Xu, S. Yang, and X.  ... 
doi:10.1109/tac.2021.3050318 fatcat:my5w4arxnvfhlmnkzojztjruky

Page 2923 of Mathematical Reviews Vol. , Issue 90E [page]

1990 Mathematical Reviews  
The authors consider the main models of linear sequential machines that include means for generating tests, analysis of output reactions of testable discrete devices, and ring diagnostics.  ...  The two important problems in single-fault set diagnosability the- ory are defined: the sf-diagnosability problem, which is to find algo- rithms for determining whether the given fault set is sf-diagnosable  ... 

List of contents and author index volume 13, 1987

1987 Computers and Mathematics with Applications  
for detecting and locating bridging and stuck-at faults in I/O pins of LSI/VLSI chips The use of linear sums in exhaustive testing Selective I/O scan: a diagnosable design technique for VLSI systems A  ...  DIRK algorithm for the numerical integration of stiff systems of ODEs Automatic numerical differentiation by discrete mollification A nonstandard finite element method for the stationary two-dimensional  ... 
doi:10.1016/0898-1221(87)90070-8 fatcat:rlciaa5g5jfglmjobqxnkpstca

Diagnosis by a Waiter and a Mars Explorer

N. Defreitas, R. Dearden, F. Hutter, R. Morales-Menendez, J. Mutch, D. Poole
2004 Proceedings of the IEEE  
We demonstrate these techniques in two scenarios: a mobile waiter robot and planetary rovers designed by NASA for Mars exploration.  ...  This paper shows how state-of-the-art state estimation techniques can be used to provide efficient solutions to the difficult problem of real-time diagnosis in mobile robots.  ...  Ghahramani for his EM code for linear dynamic models.  ... 
doi:10.1109/jproc.2003.823157 fatcat:xwcjxus7wjat3powfvoqjri7ym

Methods for Fault Diagnosability Analysis of a Class of Affine Nonlinear Systems

Xiafu Peng, Lixiong Lin, Xunyu Zhong, Chengrui Liu
2015 Mathematical Problems in Engineering  
This paper deals with the problem of the evaluation of detectability and separability for the diagnosability analysis of affine nonlinear system.  ...  Second, the related matrix between the faults and outputs of the system and the fault separable matrix are designed for quantitative fault diagnosability calculation and fault separability calculation,  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant no. 61305117), 973 subproject, and National Key Laboratory Foundation of China (Grant no. 9140c59030411ht05  ... 
doi:10.1155/2015/409184 fatcat:pyvclaac3nczdbaral74lmjjgq

Modified DWT for Feature Extraction of Bear Failure Vibration Signal

Junjiang Zhu, Lingsong He
2015 The Open Mechanical Engineering Journal  
In this paper, bear fault is automatically diagnosed by using pattern recognition. To improve the resolution of lower frequency part, we introduce scale factors to discrete wavelet composition (DWT).  ...  Therefore it can not only reveal the characteristics of non-linear relationship between amounts of features, but also help to improve the speed and accuracy of classification.  ...  ACKNOWLEDGEMENTS This paper is supported by the 'Fundamental Research Funds for the Central Universities', (HUST:CXY12Q023) and the ministry of science and technology of the People's Republic of China,  ... 
doi:10.2174/1874155x01509010973 fatcat:whusd7h2wnhb3bearyjdcgzgsq

Thermal Image Based Fault Diagnosis of Gears using Support Vector Machines

In this paper, a thermal image based non-contact methodology has been proposed to diagnose the gear faults using support vector machines (SVM).  ...  Condition monitoring and fault diagnosis of working machines have gained significant attention due to their prospective benefits, such as enhanced productivity, decreased repair and maintenance costs and  ...  SVM and linear discriminant analysis to categorize the different faults.  ... 
doi:10.35940/ijitee.a3957.119119 fatcat:mprq55of6za6bhrlddwwqrcavu

Monitoring and Fault Diagnosis of Hybrid Systems

F. Zhao, X. Koutsoukos, H. Haussecker, J. Reich, P. Cheung
2005 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Many networked embedded sensing and control systems can be modeled as hybrid systems with interacting continuous and discrete dynamics.  ...  and abrupt faults in hybrid systems.  ...  Kurien for comments on drafts of the paper.  ... 
doi:10.1109/tsmcb.2005.850178 pmid:16366248 fatcat:nwecbfjf2zg3pozvedukmozowa

Fault Detection and Diagnosis of Railway Point Machines by Sound Analysis

Jonguk Lee, Heesu Choi, Daihee Park, Yongwha Chung, Hee-Young Kim, Sukhan Yoon
2016 Sensors  
We present a data mining solution that utilizes audio data to efficiently detect and diagnose faults in railway condition monitoring systems.  ...  Experimental results show that the system enables cost-effective detection and diagnosis of faults using a cheap microphone, with accuracy exceeding 94.1% whether used alone or in combination with other  ...  Two SVMs are used to detect and diagnose fault sounds, respectively.  ... 
doi:10.3390/s16040549 pmid:27092509 pmcid:PMC4851063 fatcat:hb7vrn4kzvdzlfgjilg5lsjcfm

Support Vector Machine for Vibration Fault Classification of Steam Turbine-Generator Sets

Huo-Ching Sun, Yann-Chang Huang
2011 Procedia Engineering  
Thus, the feasibility of applying the proposed method to the practical vibration fault diagnosis of the STGS has been confirmed.  ...  To solve the vibration fault diagnosis of steam turbine-generator sets (STGS), this paper presents support vector machine (SVM) to extract the support vector from database for vibration fault diagnosis  ...  Introduction Artificial intelligence (AI)-related techniques have been adopted to diagnose vibration faults of STGS.  ... 
doi:10.1016/j.proeng.2011.11.2598 fatcat:m4jqlghtvbhvvfc32zvk3n6n2i

Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration

Alexander Feldman, Gregory Provan
Fault diagnosis of analogue linear systems poses many challenges, such as the size of the search space that must be explored and the possibility of simulation instabilities introduced by particular fault  ...  We provide a theoretical framework for predicting the speedups, which depends on the topology of the model.  ...  Hard faults can be difficult to diagnose for two reasons. First, the space of failure behaviours may be very large and difficult to search.  ... 
doi:10.1609/aaai.v28i1.9127 fatcat:q2ssk2prcnh2nbsce2qw5vebhm

A Neural-Fuzzy Approach for Fault Diagnosis of Hybrid Dynamical Systems: Demonstration on Three-Tank System

Mohammed Said Achbi, Sihem Kechida, Lotfi Mhamdi, Hedi Dhouibi
2021 Acta Mechanica et Automatica  
This work is part of the diagnostic field of hybrid dynamic systems (HDS) whose objective is to ensure proper operation of industrial facilities.  ...  Then, fault diagnosis technique is synthesised using artificial intelligence (AI) techniques.  ...  The goal is to design a diagnoser to analyse, detect and locate a class of fault affecting a system.  ... 
doi:10.2478/ama-2021-0001 fatcat:tl72zki5rngdncjwys7n2tvjoa

Fault Detection and Diagnosis of Air Handling Unit: A Review

Cheng Yew Leong, Lim Meng Hee
2019 MATEC Web of Conferences  
The background of AHU system, general fault detection and diagnosis framework and typical faults in AHU is described.  ...  The efficiency of the system is very much depending on the proper functioning of sensors. Faults arising from the sensors and control systems are a major contribution to the energy wastage.  ...  and diagnose faults.  ... 
doi:10.1051/matecconf/201925506001 fatcat:4ug5jqgj3feqfjj3b3oo5hao4q

Complete Diagnosability of Abrupt Faults Using Set-based Sensitivities

Anton Savchenko, Philipp Rumschinski, Stefan Streif, Rolf Findeisen
2012 IFAC Proceedings Volumes  
We investigate the sensitivity of the measured outputs with respect to abrupt or parametric faults for polynomial hybrid systems.  ...  The upper bounds can be used to select or optimize sensors to guarantee complete fault diagnosibility.  ...  In this contribution we present a set-based approach to determine the detectibility/diagnosability of faults that are modeled as discrete or continuous changes in polynomial systems, as described in Section  ... 
doi:10.3182/20120829-3-mx-2028.00153 fatcat:ni3x356f6jgsrkjzk4tmacldfy

Wavelet Transform in Fault Diagnosis of Analogue Electronic Circuits [chapter]

Lukas Chruszczyk
2012 Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology  
. two-dimensional Euclid distance: , = ∑ , − , , , = , , … , = , , … , (34) where i = 1, 2 for passive CUT or i = 1, 2, 3, 4 for active CUT; 2. two-dimensional linear Pearson correlation: = ∑∑ , , , ,  ...  in form of a wavelet coefficients , , ) is calculated as: where i = 1, 2 for passive CUT or i = 1, 2, 3, 4 for active CUT; 2. two-dimensional linear Pearson correlation: = ∑∑ , , ,  ...  The applications were carefully selected and grouped in five main sections -Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering.  ... 
doi:10.5772/36423 fatcat:r3stfiwbxzdwllkwookeyerri4
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