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Fault coverage

About: Fault coverage is a research topic. Over the lifetime, 10153 publications have been published within this topic receiving 161933 citations. The topic is also known as: test coverage.


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Book ChapterDOI
11 Sep 1996
TL;DR: A method for deriving tests with respect to the reduction relation with full fault coverage for deterministic implementations is proposed based on certain properties of the product of specification and implementation machines.
Abstract: In this paper, conformance testing of protocols specified as nondeterministic finite state machines is considered. Protocol implementations are assumed to be deterministic. In this testing scenario, the conformance relation becomes a preorder, so-called reduction relation between FSMs. The reduction relation requires that an implementation machine produces a (sub)set of output sequences that can be produced by its specification machine in response to every input sequence. A method for deriving tests with respect to the reduction relation with full fault coverage for deterministic implementations is proposed based on certain properties of the product of specification and implementation machines.

108 citations

Journal ArticleDOI
TL;DR: In this paper, a new method to perform fault diagnosis for data-correlation based process monitoring is presented, as alternative to the traditional contribution plot method, reconstruction-based contribution of fault detection indices is proposed.

108 citations

Journal ArticleDOI
TL;DR: This paper considers model-based residual generation and data-driven anomaly detection for a small, low-cost unmanned aerial vehicle using both types of approaches and applies those algorithms to experimental faulted and unfaulted flight-test data.
Abstract: Fault detection and identification algorithms may rely on knowledge of underlying system dynamics while some eschew this modeling in favor of data-driven anomaly detection. This paper considers model-based residual generation and data-driven anomaly detection for a small, low-cost unmanned aerial vehicle using both types of approaches and applies those algorithms to experimental faulted and unfaulted flight-test data. The model-based fault detection strategy uses robust linear filtering methods to reject exogenous disturbances, e.g., wind, and provide robustness to model errors. The data-driven algorithm is developed to operate exclusively on raw flight-test data without detailed system knowledge. The detection performance of these complementary, but different, methods is compared.

108 citations

Proceedings ArticleDOI
03 Oct 2005
TL;DR: The proposed lock & key technique provides security while not negatively impacting the design's fault coverage, and requires only that a small area overhead penalty is incurred for a significant return in security.
Abstract: Scan test has been a common and useful method for testing VLSI designs due to the high controllability and observability it provides. These same properties have recently been shown to also be a security threat to the intellectual property on a chip (Yang et al., 2004). In order to defend from scan based attacks, we present the lock & key technique. Our proposed technique provides security while not negatively impacting the design's fault coverage. This technique requires only that a small area overhead penalty is incurred for a significant return in security. Lock & key divides the already present scan chain into smaller subchains of equal length that are controlled by an internal test security controller. When a malicious user attempts to manipulate the scan chain, the test security controller goes into insecure mode and enables each subchain in an unpredictable sequence making controllability and observability of the circuit under test very difficult. We present and analyze the design of the lock & key techniques to show that this is a flexible option to secure scan designs for various levels of security

107 citations

Journal ArticleDOI
TL;DR: In this paper, an adaptive network-based Fuzzy inference system (ANFIS) is used to locate faults in a combined overhead transmission line with underground power cable using Adaptive Network-Based FuzzY Inference System (AN-FIS), which consists of three stages including fault type classification, faulty section detection and exact fault location.

107 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202360
2022135
202167
202089
2019120
2018151