Improving fault diagnosis accuracy by automatic test set modification

Amati, Luca; Bolchini, Cristiana; Salice, F.; Franzoso, Federico

doi:10.1109/test.2010.5699250

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…Through the following section another method for fault detection and localization is described, based on the estimation of the fault probability of the system components. This method was inspired by the work of Amati et al [27,28], in which they make use of Bayesian Belief Network to model the 12 …”

Section: Probabilistic Fault Detection and Localizationmentioning

confidence: 99%

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Veronese¹,

Comai²,

Salice³

2015

ICST Transactions on Ubiquitous Environments

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Thanks to the diffusion of wearable devices there are several indoor tracking systems. Among them, RF-based have been deeply studied for their flexibility and limited costs. These systems can be employed as assistive tools only being dependable, identifying faults. We propose two methods to provide multiuser tracking with concurrent localization of natural hardware and human-made faults. The first method relies on independent measurement systems and on a model-based fault localization apparatus, checking for discrepancies in the subsystems behavior. The second provides an estimation of the fault probability for each device, based on the data collected at runtime. These methods aim to provide dependable tracking for fragile people (such as elderly or people with small impairments). We present examples of Indoor Human Tracking simulations in a large environment, and an implemented case-study. The collected data confirm the validity of both the approaches and highlight their diversity.

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Section: Probabilistic Fault Detection and Localizationmentioning

confidence: 99%

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Veronese¹,

Comai²,

Salice³

2015

ICST Transactions on Ubiquitous Environments

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“…Here we adopt a model, at a functional level, for the specification of the system under consideration, S, taken from [8] and similar to the one reported in [5], except for the direct use of faults instead of components (which can be seen as aggregators of faults). In particular, a general system S is described as constituted by n c components (C = {c 1 , c 2 , .…”

Section: System Model and Fault/test Informationmentioning

confidence: 99%

“…All these techniques are based on a low abstraction-level fault model, suitable only for digital circuits of limited size. In [8], authors presented an approach for an automatic modification of the adopted test set to improve diagnostic accuracy. The work focuses on the test vectors to be selected after the first initial phase, when at least one of the executed tests have failed, and the main diagnostic process takes place.…”

Section: Introductionmentioning

confidence: 99%

“…The approach is suitable for diagnosis at the functional level, where a generic fault model relating faults and test outcomes (syndromes) is adopted, information on the tests' fault coverage is not accurate, and probabilistic probabilistic relations between the presence of a fault in a system and the capability of each test of the test suites to detect it is available, as in [9], [8]. Nevertheless, it can also be adopted at lower abstraction levels, offering results comparable to those achieved by using an ATPG-based approach.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Test Set Selection for Fault Diagnosis Improvement

Amati

Bolchini

Salice

2011

2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems

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This paper proposes an approach for improving the diagnostic capability of a test-set used in the initial phases of the diagnosis process, when the system is quickly tested with a set of vectors aimed at making the fault observable with the smallest number of vectors. The selection policy identifies the optimal test set with respect to both minimal cardinality and maximum coverage, exploiting an ILP problem formulation. Approach and rationale are supported by analytical methods and criteria, and validated by a set of experimental results.

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“…Fault grading is critical for tracing the root cause of a test failure and is useful for improving both the manufacturing testing process and the manufacturability of the fabrication process [2], [15], [17]. The fault grading quality is evaluated by diagnosis accuracy, a metric that quantifies the likelihood of diagnosis result to be correct and by diagnosis resolution, a metric that quantifies the amount of information revealed by the diagnosis result [3].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of power switches with power-distribution-network consideration

Tenentes

Rossi

Khursheed

et al. 2015

2015 20th IEEE European Test Symposium (ETS)

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Abstract-This paper examines diagnosis of power switches when the power-distribution-network (PDN) is considered as a high resolution distributed electrical model. The analysis shows that for a diagnosis method to perform high diagnosis accuracy and resolution, the distributed nature of PDN should not be simplified by a lumped model. For this reason, a PDN-aware diagnosis method for power switches fault grading is proposed. The proposed method utilizes a novel signature generation design-fortestability (DFT) unit, the signatures of which are processed by a novel diagnosis algorithm that grades the magnitude of faults. Through simulations of physical layout SPICE models, we explore the trade-offs of the proposed method between diagnosis accuracy and diagnosis resolution against area overhead and we show that 100% diagnosis accuracy and up to 98% diagnosis resolution can be achieved with negligible cost.

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Improving fault diagnosis accuracy by automatic test set modification

Cited by 7 publications

References 9 publications

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

Optimal Test Set Selection for Fault Diagnosis Improvement

Diagnosis of power switches with power-distribution-network consideration

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