Fault detection in reactive ion etching systems using one-class support vector machines

T Sarmiento, SJ Hong, GS May - IEEE/SEMI Conference and …, 2005 - ieeexplore.ieee.org
A robust method to detect faults in reactive ion etching systems using optical emission
spectroscopy data is proposed. The approach is based on one-class support vector …

Vacuum leak detection method using index regression and correction for semiconductor equipment in a vacuum chamber

T Ha, H Shin - Applied Sciences, 2021 - mdpi.com
In semiconductor manufacturing, fault detection is an important method for monitoring
equipment condition and examining the potential causes of a fault. Vacuum leakage is …

A parallel algorithm for robust fault detection in semiconductor manufacturing processes

WK Loh, JY Yun - Cluster computing, 2014 - Springer
The semiconductor manufacturing consists of a number of processes, and even a small fault
occurring at any point can damage the product quality. The fast and accurate detection of …

[PDF][PDF] Fault detection in the semiconductor etch process using the seasonal autoregressive integrated moving average modeling

MZ Arshad, JM Nawaz, SJ Hong - Journal of Information …, 2014 - koreascience.kr
In this paper, we investigated the use of seasonal autoregressive integrated moving average
(SARIMA) time series models for fault detection in semiconductor etch equipment data. The …

Advanced etch applications using tool-level data

A Skumanich, J Yamartino, D Mui… - Solid State …, 2004 - go.gale.com
OVERVIEW Semiconductor-manufacturing process control has historically relied on the dual
approach of fixed statistical process-control (SPC) limits and limited metrology sampling …

Robust Fault Analysis Using Sensors in Semiconductor Manufacturing Processes

WK Loh, YK Kim - … IEEE International Conference on Internet of …, 2018 - ieeexplore.ieee.org
Since the first introduction of integrated circuits (ICs), there has been dramatic improvements
in semiconductor manufacturing technologies. To minimize even slightest faults in …

Achieving significant cost reduction in solar through the targeted use of AI and Machine Learning

A Skumanich, M Ghiassi - 2021 IEEE 48th Photovoltaic …, 2021 - ieeexplore.ieee.org
The current DOE targets for solar are to achieve 50 year lifetimes, and 50% cost reductions
(50/50) by 2030. These goals are challenging from both a fundamental physics mode as …

Application of Symbolic Representation Method for Fault Detection and Clustering in Semiconductor Fabrication Processes

WK Loh, SJ Hong - Journal of KIISE: Computing Practices and …, 2009 - koreascience.kr
Since the invention of the integrated circuit (IC) in 1950s, semiconductor technology has
undergone dramatic development up to these days. A complete semiconductor is …

[图书][B] Real-time malfunction diagnosis and prognosis of reactive ion etching using neural networks

SJ Hong - 2003 - search.proquest.com
For modern semiconductor manufacturing in this era of submicron technology, device size is
continuously decreasing as component density increases. As a result of the nature of the …

In-tool process control for advanced patterning based on integrated metrology and tool-level data stream analysis

A Skumanich, J Yamartino, D Mui - 2004 IEEE/SEMI Advanced …, 2004 - ieeexplore.ieee.org
Advanced Process Control (APC) and Advanced Equipment Control (AEC) which has come
to the foreground with current design nodes is expected that the 65nm node requires …