Results 261 to 270 of about 8,566 (306)

Gaining diagnostic information for fault isolation

2013 IEEE International Conference on Information and Automation (ICIA), 2013
Robots in dynamic and uncertain environments are vulnerable to mission failures due to external perturbation or internal malfunctions. Diagnosis is the process to detect, locate or even assess the fault. Since robots rely on their function modules to sense the external environment, it is difficult to locate the fault under uncertainties of robot ...
Jun Tang, Jun Zhang, Xiaojun Wang, Zeyang Xia, Ying Hu 0001, Jianwei Zhang 0001   +5 more
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Characterization of probabilistic faults diagnostic models

2006 International Conference on Information Technology: Research and Education, 2006
This paper suggests a characterization of probability-based search models describing various fault diagnostics processes, which are widely used in the current practice of complex computer systems and networks systems maintenance and service. The characterization is performed in terms of some tuples including: characteristics of fault models ...
Sergey Frenkel, Eugene Levner, Victor N. Zakharov   +2 more
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A novel approach to fault diagnostics and prognostics

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004
A novel fault diagnostics and prognostics algorithm based on hidden Markov model (HMM) is proposed. The algorithm combines fault diagnostics and prognostics in a unified framework. The algorithm has been fully tested by using experimental data from a rotating shift testbed in our laboratory.
Chiman Kwan, Xiaodong Zhang 0004, Roger Xu, Leonard Haynes   +3 more
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Experiences with concurrent fault simulation of diagnostic programs

International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 1990
A methodology is presented for fault-simulation of system level diagnostic programs involving large models (50000 to 200000 gates) and long test sequences. Accuracy of memory models, interplay of target faults with diagnostic program development, and creation of shorter diagnostics are topics covered.
Stephen R. Demba, Ernst G. Ulrich, Karen Panetta, David Giramma   +3 more
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Combination of techniques for the fault diagnostics

2017 18th International Carpathian Control Conference (ICCC), 2017
Each autonomous technological process requires an early fault detection system as an integral part of its infrastructure. Complex fault diagnostics system must be able not only to quickly detect any unwanted deviation from nominal function, but also to make a competent estimate of the type and source of possible failure.
Pavel Trnka, Milan Hofreiter, Jan Sova
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A sampling technique for diagnostic fault simulation

Proceedings of 14th VLSI Test Symposium, 2002
The quality of diagnostic test sets (DTS) are determined using diagnostic fault simulation (DFS). We propose a novel approximation algorithm, called "EC/IC Sampling", for DFS. It samples the set of equivalence classes (EC)/indistinguishable classes (IC).
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Integrated intelligent fault diagnostics

Proceedings of IEEE National Telesystems Conference - NTC '94, 2002
Since the 1970s, awareness, interest, and emphasis in the testability discipline have been increasing. This discipline is an extension of system design, reliability assessment, and test engineering and is an increasingly important part of Integrated Product Development (IPD) teams.
G.C. Hadfield, C.M. Cigich
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A Fault Diagnostic Algorithm for Fault Tolerant Control Systems

IFAC Proceedings Volumes, 1986
Abstract A new fault diagnostic algorithm for locating a fault and estimating its magnitude in control systems is proposed for use in the fault tolerant control system. The proposed algorithm is found to be highly effective for control systems with multiple PID controllers, which is demonstrated by a simulation experiment.
Z. Bien, M.J. Youn, M.J. Chung, J.H. Kim, B.C. Moon, B.K. Kim   +5 more
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A Diagnostic Fault Simulation Method for a Single Universal Logical Fault Model

2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), 2017
Fault diagnosis methods for specified fault models might deduce wrong faults as suspicious candidate faults (misprediction). The methods might not be able to also deduce suspicious candidate faults (non-prediction). In this paper, a fault diagnosis method for a single universal logical fault model in scan testing is proposed.
Toshinori Hosokawa, Hideyuki Takano, Hiroshi Yamazaki, Koji Yamazaki   +3 more
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Bayesian belief networks for system fault diagnostics

Quality and Reliability Engineering International, 2008
AbstractFault diagnostic methods aim to recognize when faults exist on a system and to identify the failures that have caused the fault. The symptoms of the fault are obtained from readings from sensors located on the system. When the observed readings do not match those expected then a fault can exist.
Mariapia Lampis, J. D. Andrews
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