On the generation of small dictionaries for fault location

Pomeranz,; Reddy,

doi:10.1109/iccad.1992.279361

Cited by 91 publications

(33 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Rather, the detection will observe a failure at the port of the hardware component or at the port of another component. The errors causing the failure and an appropriate self-healing operation are stored in a fault dictionary [113]. This fault dictionary associates failures in the system with sets of errors causing these failures.…”

Section: Claudia Priesterjahnmentioning

confidence: 99%

Methods of Improving the Dependability of Self-optimizing Systems

Dorociak

Gausemeier

2014

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Abstract. Various methods have been developed in the Collaborative ResearchCenter 614 which can be used to improve the dependability of self-optimizing systems. These methods are presented in this chapter. They are sorted into two categories with regard to the development process of self-optimizing systems. On one hand, there are methods which can be applied during the Conceptual Design Phase. On the other hand, there are methods that are applicable during Design and Development.There are domain-spanning methods as well as methods that have been specifically developed for particular domains, e.g., software engineering or control engineering. The methods address different attributes of dependability, such as reliability, availability or safety.Each section is prefaced with a short overview of the classification of the described method regarding the corresponding domain(s), as well as its dependability attributes, to provide the reader with a brief outline of the methods' areas of application. Information about independently applicable methods or existing relationships and interactions with other methods or third-party literature is also provided.The development process for self-optimizing mechatronic systems which was introduced in Chap. 2 consists of two main phases: Conceptual Design and Design and Development. The main result of the Conceptual Design is the Principle Solution, which includes all information required for the concrete development during the second phase. Conceptual Design PhaseEven as early as during the specification of the Principle Solution, the dependability of self-optimizing mechatronic systems can be evaluated and improved by employing appropriate methods. The result is an improved Principle Solution, as such methods take the whole system into account before splitting it up into domain-specific tasks for the following development phase.

show abstract

Section: Claudia Priesterjahnmentioning

confidence: 99%

Methods of Improving the Dependability of Self-optimizing Systems

Dorociak

Gausemeier

2014

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…There has been much work done on reducing the size of full-response dictionaries [9,17,21]. Most techniques focus on reducing the size by managing the organization and encoding of the dictionary.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Test Set Minimization and Full-Response Fault Dictionary

Shukoor

Agrawal

2012

J Electron Test

View full text Add to dashboard Cite

We minimize a given test set without loss of diagnostic resolution in full-response fault dictionary. An integer linear program (ILP), formulated from fault simulation data, provides ultimate reduction of test vectors while preserving fault coverage and pairwise distinguishability of faults. The complexity of the ILP is made manageable by two innovations. First, we define a generalized independence relation between pairs of faults to reduce the number of fault pairs that need to be distinguished. This significantly reduces the number of ILP constraints. Second, we propose a two-phase ILP approach. In the first phase, using an existing procedure, we select a minimal detection test set. In the second phase, additional tests are selected for the undiagnosed faults using a newly formulated diagnostic ILP. The overall minimized test set may be only slightly longer than a one-step ILP optimization, but has advantages of reducing the minimization problem complexity and the test time required by the minimized tests. Benchmark results show potential for significantly smaller diagnostic test sets.

show abstract

“…The study shows that pass-fail dictionary provides high diagnostic power (much higher than frequency based dictionary but slightly lower than full response dictionary) and higher space compaction (much higher space compaction than full response dictionary). Therefore in order to conserve storage requirements for the dictionaries we used a passfail dictionary [4]. However conclusions drawn through the experiments reported in this work are expected to hold if other diagnosis procedures are used (including full response dictionary or effect-cause diagnosis procedure [1], [13]).…”

mentioning

confidence: 99%

Diagnosis of Multiple-Voltage Design With Bridge Defect

Khursheed

Al-Hashimi

Reddy

et al. 2009

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

View full text Add to dashboard Cite

Abstract-Multiple-voltage is an effective dynamic power reduction design technique, commonly used in low power ICs. To the best of our knowledge there is no reported work for diagnosing multiple-voltage enabled ICs and the aim of this paper is to propose a method for diagnosing bridge defects in such ICs. Using synthesized ISCAS benchmarks, with realistic extracted bridges and a parametric fault model, the paper investigates the impact of varying supply voltage on the accuracy of diagnosis and demonstrates how the additional voltage settings can be leveraged to improve the diagnosis resolution through a novel multi-voltage diagnosis algorithm. In addition it also identifies the most useful voltage settings to reduce diagnosis cost by eliminating tests at certain voltage setting using the proposed multi-voltage diagnosis approach thereby achieving high diagnosis accuracy at reduced cost.

show abstract

On the generation of small dictionaries for fault location

Cited by 91 publications

References 5 publications

Methods of Improving the Dependability of Self-optimizing Systems

Methods of Improving the Dependability of Self-optimizing Systems

Diagnostic Test Set Minimization and Full-Response Fault Dictionary

Diagnosis of Multiple-Voltage Design With Bridge Defect

Contact Info

Product

Resources

About