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Stuck-at fault

About: Stuck-at fault is a research topic. Over the lifetime, 9707 publications have been published within this topic receiving 160254 citations.


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Journal ArticleDOI
TL;DR: The proposed fuzzy FDI architecture was able to detect and isolate the simulated abrupt and incipient faults and uses a fuzzy decision making approach to isolate faults, which is based on the analysis of the residuals.
Abstract: Model-based fault detection and isolation (FDI) is an approach with increasing attention in the academic and industrial fields, due to economical and safety related matters. In FDI, the discrepancies between system outputs and model outputs are called residuals, and are used to detect and isolate faults. This paper proposes a model-based architecture for fault detection and isolation based on fuzzy methods. Fuzzy modeling is used to derive nonlinear models for the process running in normal operation and for each fault. When a fault occurs, fault detection is performed using the residuals. Then, the faulty fuzzy models are used to isolate a fault. The FDI architecture proposed in this paper uses a fuzzy decision making approach to isolate faults, which is based on the analysis of the residuals. Fuzzy decision factors are derived to isolate faults. An industrial valve simulator is used to obtain several abrupt and incipient faults, which are some of the possible faults in the real system. The proposed fuzzy FDI architecture was able to detect and isolate the simulated abrupt and incipient faults.

76 citations

Proceedings ArticleDOI
25 Oct 2000
TL;DR: Analyzing at an early stage of the design the potential faulty behaviors of a circuit becomes a major concern due to the increasing probability of faults using fault injections in RT-level VHDL descriptions and hardware prototyping of the circuit under design.
Abstract: Analyzing at an early stage of the design the potential faulty behaviors of a circuit becomes a major concern due to the increasing probability of faults. It is proposed to carry out such an analysis using fault injections in RT-level VHDL descriptions and hardware prototyping of the circuit under design. Injection of erroneous transitions is automated and results are presented.

76 citations

Journal ArticleDOI
TL;DR: The authors have delimited, for every reconvergent fan-out stem, a region of the circuit outside of which the stem fault does not have to be simulated, and experimental results are shown for the well-known benchmark circuits.
Abstract: An exact fault simulation can be achieved by simulating only the faults on reconvergent fan-out stems, while determining the detectability of faults on other lines by critical path tracing within fan-out-free regions. The authors have delimited, for every reconvergent fan-out stem, a region of the circuit outside of which the stem fault does not have to be simulated. Lines on the boundary of such a stem region, called exit lines, have the following property: if the stem fault is detected on the line and the line is critical with respect to a primary output, then the stem fault is detected at that primary output. Any fault simulation technique can be used to simulate the stem fault within its stem region. The fault simulation complexity of a circuit is shown to be directly related to the number and size of stem regions in the circuit. The concept of stem regions has been used as a framework for an efficient fault simulator for combinational circuits. The concept allows a static reduction of the circuit area of explicit analysis for single- as well as multiple-output circuits. A dynamic reduction of processing steps is also achieved as the fault simulation progresses and fault coverage increases. The simulation algorithm is described, and experimental results are shown for the well-known benchmark circuits. >

76 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a fault diagnosis approach for a class of reciprocating, electro-mechanical equipment referred to as single-throw mechanical equipment (STMEs).

76 citations

Journal ArticleDOI
TL;DR: Radial basis functions networks (RBFN) are used to process circuit input–output measurements, and to perform soft fault location, and results show that the developed nets succeeded in classifying faults.

76 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202336
202298
20219
20206
20199
201846