Results 211 to 220 of about 23,927 (265)

Nonlinear Multiscale Fault Detection and Identification

IFAC Proceedings Volumes, 2006
Abstract A nonlinear multiscale multivariate statistical process control method is proposed to address fault detection and diagnosis issues at different scales in nonlinear processes. A kernel principal component analysis (KPCA) model is built with the reconstructed data obtained by performing wavelet transform and inverse wavelet transform ...
Sang Wook Choi, Elaine B. Martin, Julian Morris, In-Beum Lee   +3 more
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Fault model identification with Petri nets

2008 9th International Workshop on Discrete Event Systems, 2008
Most of the fault identification problems in the discrete event systems literature assume knowledge of the structure of the net system, including the nature (and behavior) of the possible faults. In this paper we deal with this problem within the framework of Petri nets by removing the requirement that the nature (and behavior) of the fault is known ...
Cabasino, M. P., Giua, A., Hadjicostis, Christoforos N., Seatzu, C., Cabasino, M. P., Giua, A., Hadjicostis, Christoforos N., Seatzu, C.   +7 more
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On-line test for fault-secure fault identification

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2000
In an increasing number of applications, reliability is essential. On-line resistance to permanent faults is a difficult and important aspect of providing reliability. Particularly vexing is the problem of fault identification. Current methods are either domain specific or expensive.
S.N. Hamilton, A. Orailoglu
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A parallel fault identification algorithm

Journal of Algorithms, 1990
Summary: Consider a system of n units, at most ...
Schmeichel, E., Hakimi, S. L., Otsuka, M., Sullivan, G.   +3 more
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Fault Identification of Nonlinear Processes

Industrial & Engineering Chemistry Research, 2013
In this paper, a new kernel partial least-squares (KPLS)-based fault identification method is proposed. Although KPLS is superior to PLS in fault detecting of nonlinear processes, the fault identification methods for KPLS are limited. In this paper, the contributions are (1) The relationship between the input and the output variables are considered and
Yingwei Zhang, Lingjun Zhang, Renquan Lu
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Fault Reconstruction and Identification

2012
This chapter introduces fault reconstruction and identification methods, particularly for those processes whose data follow non-Gaussian distributions. For non-Gaussian fault detection, recent work has demonstrated the effectiveness of Independent Component Analysis (ICA) to extract non-Gaussian source signal and Support Vector Data Description (SVDD ...
Zhiqiang Ge, Zhihuan Song
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Identification of redundant delay faults

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1994
Various defects during fabrication have been shown in the literature to introduce delay faults in logic circuits. This paper analyzes the effects of these defects on the normal operation of logic circuits with the goal of developing an appropriate model for these faults.
D. Brand, V.S. Iyengar
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Fault identification for robot manipulators

IEEE Transactions on Robotics, 2005
Several factors must be considered for robotic task execution in the presence of a fault, including: detection, identification, and accommodation for the fault. In this paper, a nonlinear observer is used to identify a class of actuator faults once the fault has been detected by some other method.
M.L. McIntyre, W.E. Dixon, D.M. Dawson, I.D. Walker   +3 more
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Fault identification in beam structures

Journal of the Franklin Institute, 1992
A methodology based on the measurement of the natural frequencies of the structural system is developed for identification of the magnitude and location of the material defects and/or cracks. The numerical procedure is based on the matrix-transfer technique in which the dynamic characteristics of the system are related from one end to the other end via
Choy, Fred K., Liang, Robert Y., Xu, P.
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Fault Identification Schemes

2013
Fault identification (also called fault estimation) is often integrated into a fault-tolerant system and thus receiving considerable attention in the integrated design of control and fault diagnosis. The first part of this chapter is dedicated to the study on a perfect or optimal fault recovery (estimation/identification) without any assumption on ...
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