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Decision trees for fault diagnosis in circuits and switching networks
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Decision trees for fault diagnosis in circuits and switching networksby Monther Busbait ... [et al.].
其他作者:
Busbait, Monther.
出版者:
Cham :Springer Nature Switzerland :2023.
面頁冊數:
xii, 130 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Electric fault location.
電子資源:
https://doi.org/10.1007/978-3-031-39031-9
ISBN:
9783031390319$q(electronic bk.)
Decision trees for fault diagnosis in circuits and switching networks
Decision trees for fault diagnosis in circuits and switching networks
[electronic resource] /by Monther Busbait ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xii, 130 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4932198-4190 ;. - Studies in systems, decision and control ;v.3..
Introduction -- Diagnosis of constant Faults at Inputs of Gates in Circuits -- Diagnosis of Embedding Faults in Circuits -- Diagnosis of Extensions of Constant Faults in Circuits -- Diagnosis of Retaining Faults in Circuits -- Diagnosis of Constant Faults in Switching Networks.
In this book, we study decision trees for fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions. We consider two main cases: when the scheme (circuit or switching network) has the same mode of operation for both calculation and diagnostics, and when the scheme has two modes of operation-normal for calculation and special for diagnostics. In the former case, we get mostly negative results, including superpolynomial lower bounds on the minimum depth of diagnostic decision trees depending on scheme complexity and the NP-hardness of construction diagnostic decision trees. In the latter case, we describe classes of schemes and types of faults for which decision trees can be effectively used to diagnose schemes, when they are transformed into so-called iteration-free schemes. The tools and results discussed in this book help to understand both the possibilities and challenges of using decision trees to diagnose faults in various schemes. The book is useful to specialists both in the field of theoretical and technical diagnostics. It can also be used for the creation of courses for graduate students.
ISBN: 9783031390319$q(electronic bk.)
Standard No.: 10.1007/978-3-031-39031-9doiSubjects--Topical Terms:
455901
Electric fault location.
LC Class. No.: TK3226
Dewey Class. No.: 620.00452
Decision trees for fault diagnosis in circuits and switching networks
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Introduction -- Diagnosis of constant Faults at Inputs of Gates in Circuits -- Diagnosis of Embedding Faults in Circuits -- Diagnosis of Extensions of Constant Faults in Circuits -- Diagnosis of Retaining Faults in Circuits -- Diagnosis of Constant Faults in Switching Networks.
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In this book, we study decision trees for fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions. We consider two main cases: when the scheme (circuit or switching network) has the same mode of operation for both calculation and diagnostics, and when the scheme has two modes of operation-normal for calculation and special for diagnostics. In the former case, we get mostly negative results, including superpolynomial lower bounds on the minimum depth of diagnostic decision trees depending on scheme complexity and the NP-hardness of construction diagnostic decision trees. In the latter case, we describe classes of schemes and types of faults for which decision trees can be effectively used to diagnose schemes, when they are transformed into so-called iteration-free schemes. The tools and results discussed in this book help to understand both the possibilities and challenges of using decision trees to diagnose faults in various schemes. The book is useful to specialists both in the field of theoretical and technical diagnostics. It can also be used for the creation of courses for graduate students.
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