Information-Theoretic Syndrome Evaluation, Statistical Root-Cause Analysis, and Correlation-Based Feature Selection for Guiding Board-Level Fault Diagnosis-Reference-Cited by-同舟云学术

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Information-Theoretic Syndrome Evaluation, Statistical Root-Cause Analysis, and Correlation-Based Feature Selection for Guiding Board-Level Fault Diagnosis

Published:2015-06 Issue:6 Volume:34 Page:1014-1026
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Ye Fangming,Zhang Zhaobo,Chakrabarty Krishnendu,Gu Xinli

Funder

research grant from Huawei Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/7110649/07031434.pdf?arnumber=7031434

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Three-Stage Root Cause Analysis for Logistics Time Efficiency via Explainable Machine Learning;Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2022-08-14

2. Knowledge-Intensive Diagnostics using Case-Based Reasoning and Synthetic Case Generation;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022

3. An EEG-Based Identity Authentication System with Audiovisual Paradigm in IoT;Sensors;2019-04-08

4. Blind-Stage Search Algorithm for the Key-Variable Search Scheme;IEEE Robotics and Automation Letters;2017-10

5. Introduction;Knowledge-Driven Board-Level Functional Fault Diagnosis;2016-08-20

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