ESD Stress Data Analysis with Machine Learning: A Case Study

被引：0

作者：

Middaugh, Caige ^{[1
]}

Nourani, Mehrdad ^{[1
]}

Duvvury, Charvaka ^{[2
]}

Schichl, Joe ^{[2
]}

机构：

[1] Univ Texas Dallas, Richardson, TX 75083 USA

[2] iT2 Technol, Troy, NY USA

来源：

2023 45TH ANNUAL EOS/ESD SYMPOSIUM, EOS/ESD | 2023年

关键词：

D O I：

10.23919/EOS/ESD58195.2023.10287736

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a pioneering examination of using Machine Learning (ML) for applications to ESD data analysis. It involves demonstrating how post ESD stress IV curve data can lead to machine learning opportunities. The proposed technique can significantly reduce the iterations between product test and ESD design engineers and thus shortening time to market.

引用

页数：9

共 50 条

[31] Pure Data-Driven Machine Learning Challenges for pFMEA: A Case Study
Mokhtarzadeh, Mahdi
Rodriguez-Echeverria, Jorge
Zeren, Zafer
Van Noten, Johan
Gautama, Sidharta
IFAC PAPERSONLINE, 2024, 58 (19): : 658 - 663
[32] Impact of data quality on supervised machine learning: Case study on drilling vibrations
Srivastava, Saket
Shah, Rushit N.
Teodoriu, Catalin
Sharma, Aditya
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 219
[33] Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery
Qi, Bill
Fiori, Laura M.
Turecki, Gustavo
Trakadis, Yannis J.
INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2020, 23 (08): : 505 - 510
[34] Application of machine learning for 'what if?' stress analysis
Sheen, Bemin
Nowell, David
JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 2025, 60 (02): : 75 - 87
[35] Machine learning for survival analysis: a case study on recurrence of prostate cancer
Zupan, B
Demsar, J
Kattan, MW
Beck, JR
Bratko, I
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2000, 20 (01) : 59 - 75
[36] Machine learning for survival analysis: A case study on recurrence of prostate cancer
Zupan, B
Demsar, J
Kattan, MW
Beck, JR
Bratko, I
ARTIFICIAL INTELLIGENCE IN MEDICINE, 1999, 1620 : 346 - 355
[37] COMPARATIVE ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR FORECASTING WEATHER: A CASE STUDY
Diaz-Ramirez, Jorge
Badilla-Torrico, Ximena
Munoz, Fabian Santiago
Bernabe, Miguel Pinto
Quenaya-Quenaya, Ernie
INTERCIENCIA, 2024, 49 (05) : 305 - 313
[38] Predictive modelling of stress, anxiety and depression: A network analysis and machine learning study
Ganai, Umer Jon
Sachdev, Shivani
Bhushan, Braj
BRITISH JOURNAL OF CLINICAL PSYCHOLOGY, 2024, 63 (04) : 522 - 542
[39] Production data evaluation analysis model: a case study of broaching machine
Yu, Chun-Min
Chen, Kuen-Suan
Guo, Yun-Yu
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2021, 44 (07) : 673 - 682
[40] ECG Data Analysis with IoT and Machine Learning
Shrestha, Abhigya Pote
Yu, Chen-Hsiang
2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2022, : 323 - 327

← 1 2 3 4 5 →