Results 251 to 260 of about 30,992 (298)

Fault detection, diagnosis, and fault tolerant control with flight applications

Journal of the Franklin Institute, 2013
Hugh H.T.
Liu, H.H.T., Shi, P., Jiang, B.
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Fault detection and fault diagnosis techniques for lookup table FPGAs

Proceedings of the 11th Asian Test Symposium, 2002. (ATS '02)., 2003
In this paper, we present a novel fault detection and fault diagnosis technique for field programmable gate arrays (FPGAs). The cell is configured to implement a bijective function to simplify the testing of the whole cell array. The whole chip is partitioned into disjoint one-dimensional arrays of cells. The input patterns can be easily generated with
Shyue-Kung Lu, Chung-Yang Chen
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Incipient Fault Detection and Diagnosis: A hidden information detection problem

2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), 2015
In this paper, we propose an overview of the Fault Detection and Diagnosis concept as the detection and characterisation of a hidden information as usually addressed in Data Hiding approaches. In fact, on one side Fault Detection and Diagnosis is generally studied as the detection and characterization of changes (abrupt or not) in a signal describing ...
Claude Delpha, Demba Diallo
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Fault detection and diagnosis of networked control system

International Journal of Systems Science, 2008
Consider the plant of Multiple-input Networked Control System (NCS) with long reduced delay. The effect of the disturbances to the NCS is discussed and the iterative method is used to compensate the delay when design a reduced-order state observer with a γ-stability margin (0 < γ < 1) for system.
Yingwei Zhang, Yu Chen, Jie Sheng, Tim Hesketh   +3 more
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On-line fault detection and diagnosis for chiller system

2016 IEEE International Conference on Automation Science and Engineering (CASE), 2016
Fault detection and diagnosis for heating, ventilation and air conditioning system (HVAC) significantly impact energy efficiency and human thermal comfort. A model-based fault diagnosis method is presented in this paper to provide reliable estimation of multiple and simultaneous fault conditions at the component level, in the presence of measurement ...
P. Wang, Robert Gao
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Fault detection and diagnosis of automated manufacturing systems

Proceedings of the 27th IEEE Conference on Decision and Control, 1988
The authors develop a controller methodology for fault detection and diagnosis using Petri nets and fault trees in automated manufacturing systems. The controller has two levels. At the first level there are dedicated diagnostic systems for each of the subsystems, such as machine centers, robots, conveyers, etc.
N. Viswanadham, T.L. Johnson
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Automated Fault Detection and Diagnosis in Mechanical Systems

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2007
In this work, a fault detection method is developed based on a neural network (NN) learning model. The robust observer is designed for monitoring fault, without NN learning, when the system of concern is operating in the normal healthy mode. By comparing appropriate states with their signatures, the fault diagnosis can be carried out and the NN ...
Huang, S.N., Tan, K.K., Lee, T.H.
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A memory-based approach to fault detection and diagnosis

1999 European Control Conference (ECC), 1999
Fault detection and diagnosis are functions with enormous importance to advanced intelligent supervisory control systems. In the quest for improved quality and safer operations, we adopt a different approach to fault diagnosis based on the memory-based learning paradigm.
Petya I. Ivanova, Rudolf Kulhavý
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Fault detection and diagnosis of a motor bearing shield

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
Recent years have seen increased attention to the Preventive Maintenance (PM) where corrective actions are promptly taken before small faults manifest themselves to be serious failures. Also, these undetected incipient faults present in an unhealthy machine can result in unnecessary waste of energy.
Jittiwut Suwatthikul, Sunisa Sornmuang
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Sensor fault detection and diagnosis in the presence of outliers

Neurocomputing, 2019
Abstract In this paper, a sensor fault detection and diagnosis (FDD) method is proposed for linear state-space models in the presence of outliers. The t-distribution with unknown scale matrix and degrees of freedom (dof) parameter is used to describe the measurement noise. By using the variational Bayesian inference, the states, the scale matrix, and
Chen Xu 0009, Shunyi Zhao, Fei Liu 0001
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