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A fault diagnosis method based on ANFIS and bearing fault diagnosis
2014 International Conference on Information Science, Electronics and Electrical Engineering, 2014An integrated method of fuzzy clustering, rough sets theory, and adaptive neuro-fuzzy inference system (ANFIS) for fault diagnosis was presented. Xie-Beni cluster-validity was introduced into fuzzy c-means clustering algorithm, and a combination of genetic algorithm and gradient descent approach was applied, to discretize the feature parameters and ...
Junhong Zhang, Wenpeng Ma, Liang Ma
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Fault Diagnosis and Fault Model Aliasing
IEEE Computer Society Annual Symposium on VLSI: New Frontiers in VLSI Design (ISVLSI'05), 2005During fault diagnosis, the existence of equivalent faults, or faults that are not distinguished by the test set applied to the circuit, can create ambiguity as to the location of a defect. This happens if the circuit-under-test produces a response that matches the circuit response in the presence of two faults in different locations of the circuit ...
Sudhakar M. Reddy +2 more
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Isolability of faults in sensor fault diagnosis
Mechanical Systems and Signal Processing, 2011Abstract A major concern with fault detection and isolation (FDI) methods is their robustness with respect to noise and modeling uncertainties. With this in mind, several approaches have been proposed to minimize the vulnerability of FDI methods to these uncertainties.
Reza Sharifi, Reza Langari
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1990
Publisher Summary This chapter focuses on the applications of neural networks in fault diagnosis. Neural networks have been shown to be successful tools for the diagnosis of real-time and non-real-time data. Neural networks are well suited to process performance data and search for problems.
Robert L. Gezelter +2 more
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Publisher Summary This chapter focuses on the applications of neural networks in fault diagnosis. Neural networks have been shown to be successful tools for the diagnosis of real-time and non-real-time data. Neural networks are well suited to process performance data and search for problems.
Robert L. Gezelter +2 more
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, 1998 Testing fabricated chips for correct temporal behavior is typically done by applying a set of input vector pairs at-speed to the chip under test, and comparing the sampled circuit outputs with their expected logic values. Assuming that the chip is functionally correct, i.e., it produces the correct output values given sufficient time, any discrepancy ...
Andrzej J. Strojwas, Mukund Sivaraman
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Fault Diagnosis for Industrial Robots
2007In the last decade considerable research efforts have been spent to seek for systematic approaches to Fault Diagnosis (FD) in dynamical systems. Special attention has been put in robotic systems, especially for those operating in remote or hazardous environments, where a high degree of safety as well as self-diagnostics capabilities are required.
F. CACCAVALE, VILLANI, LUIGI
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The Journal of the Acoustical Society of America, 1981
An engine diagnostic apparatus includes a first transducer positioned in the oil filler neck of the engine for translating the crankcase pressure waveform into a corresponding electrical waveform having a frequency component proportional to engine speed.
Lee R. Armstrong +2 more
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An engine diagnostic apparatus includes a first transducer positioned in the oil filler neck of the engine for translating the crankcase pressure waveform into a corresponding electrical waveform having a frequency component proportional to engine speed.
Lee R. Armstrong +2 more
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2014
The article describes the detection and isolation (diagnosis) of faults (major equipment and sensor/actuator malfunctions) in engineering systems. The simpler, and less powerful methods do not rely on any mathematical model of the system; these include limit checking, special and multiple sensors, frequency analysis, and fault-tree analysis.
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The article describes the detection and isolation (diagnosis) of faults (major equipment and sensor/actuator malfunctions) in engineering systems. The simpler, and less powerful methods do not rely on any mathematical model of the system; these include limit checking, special and multiple sensors, frequency analysis, and fault-tree analysis.
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Control Engineering Practice, 1997
Abstract This paper gives a summary of methods that can be applied to automatic fault diagnosis. In the beginning, the focus is on classification and diagnostic reasoning using fuzzy logic. Subsequently, some of the ideas which have led to the emerging neuro-fuzzy algorithms are discussed.
Mihiar Ayoubi, Steffen Leonhardt
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Abstract This paper gives a summary of methods that can be applied to automatic fault diagnosis. In the beginning, the focus is on classification and diagnostic reasoning using fuzzy logic. Subsequently, some of the ideas which have led to the emerging neuro-fuzzy algorithms are discussed.
Mihiar Ayoubi, Steffen Leonhardt
openaire +2 more sources