Results 221 to 230 of about 13,671 (263)

Fault detection and identification in an intelligent restructurable controller

Journal of Intelligent & Robotic Systems, 1988
The fault detection and identification problem in an intelligent restructurable controller is addressed using a combination of algorithmic and artificial intelligence methods. An architecture is developed to address this problem. The integration of a variety of distinct knowledge representations and diagnostic reasoning techniques, and the system ...
Kevin M. Passino, Panos J. Antsaklis
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Sensor Identification and Fault Detection in IoT Systems

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, 2018
The proliferation of Internet of Things (IoT) devices has led to the deployment of various types of sensors in the homes, offices, buildings, lawns, cities, and even in agricultural farms. Due to the diverse nature of IoT deployments and the likelihood of sensor failures in-the-wild, a key challenge in the design of IoT systems is ensuring the ...
Tusher Chakraborty, Akshay Uttama Nambi, Ranveer Chandra, Rahul Sharma 0001, Manohar Swaminathan 0001, Zerina Kapetanovic   +5 more
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Fault Detection and Identification in a Fuel Cell System

2009
In this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink framework and enables early fault detection and identification. During fault detection, the fault diagnosis system should recognize
Escobet Canal, Antoni, Nebot Castells, M. Àngela   +1 more
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Sensor fault detection and identification in a mobile robot

Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 2002
Multiple model adaptive estimation (MMAE) is used to detect and identify sensor failures in a mobile robot. Each estimator is a Kalman filter with a specific embedded failure model. The filter bank also contains one filter which has the nominal model embedded within it. The filter residuals are postprocessed to produce a probabilistic interpretation of
Stergios I. Roumeliotis, Gaurav S. Sukhatme, George A. Bekey   +2 more
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A new unsupervised approach to fault detection and identification

2014 International Joint Conference on Neural Networks (IJCNN), 2014
In this paper, a new fully unsupervised approach to fault detection and identification is proposed. It is based on a two-stage algorithm and starts with the recursive density estimation (RDE) in the feature space. The choice of the features is important and in the real world process that we consider these are control and error related variables.
Bruno Sielly Jales Costa, Plamen Parvanov Angelov, Luiz Affonso Guedes   +2 more
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A new probing scheme for fault detection and identification

2009 IEEE International Conference on Electro/Information Technology, 2009
Probing technology has been used as a fault detection and identification method in computer networks and successful applications have been reported. One of the most appealing features of probing-based schemes is that it is an active approach. A set of probes can be sent on a periodic basis. If a network failure is detected, the outcomes of these probes
Abdul Jalil Mohamed, Otman Basir
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Identification of a chemical process for fault detection application

Proceedings of the 2004 American Control Conference, 2004
This paper presents the application results concerning the fault detection of a dynamic process using linear system identification and model-based residual generation techniques. The first step of the considered approach consists of identifying different families of linear models for the monitored system in order to describe the dynamic behaviour of ...
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Fault detection and identification in Petri net controllers

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004
This paper proposes a methodology for providing fault tolerance to Petri net controllers. In order to provide tolerance against faults that may compromise the functionality of the Petri net controller, we construct a redundant Petri net embedding that allows the detection and identification of place and transition faults.
Li, L., Hadjicostis, Christoforos N., Sreenivas, R. S., Li, L., Hadjicostis, Christoforos N., Sreenivas, R. S.   +5 more
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PWA Dynamic Identification for Nonlinear Model Fault Detection

IFAC Proceedings Volumes, 2006
Abstract This paper addresses the identification of non–linear dynamic systems. A wide class of these systems can be described using non–linear time-invariant regression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy.
SIMANI, Silvio, FANTUZZI, Cesare
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A method of sensor fault detection and identification

Journal of Process Control, 2005
Abstract A method of Bayesian belief network (BBN)-based sensor fault detection and identification is presented. It is applicable to processes operating in transient or at steady-state. A single-sensor BBN model with adaptable nodes is used to handle cases in which process is in transient.
Nasir Mehranbod, Masoud Soroush, Chanin Panjapornpon   +2 more
openaire   +1 more source