• 제목/요약/키워드: Semiconductor Failure

검색결과 158건 처리시간 0.021초

A Technique for Analyzing LSI Failures Using Wafer-level Emission Analysis System

  • Higuchi, Yasuhisa;Kawaguchi, Yasumasa;Sakazume, Tatsumi
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제1권1호
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    • pp.15-19
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    • 2001
  • Current leakage is the major failure mode of semiconductor device characteristic failures. Conventionally, failures such as short circuit breaks and gate breakdowns have been analyzed and the detected causes have been reflected in the fabrication process. By using a wafer-level emission-leakage failure analysis method (in-line QC), we analyzed leakage mode failure, which is the major failure detected during the probe inspection process for LSIs, typically DRAMs and CMOS logic LSIs. We have thus developed a new technique that copes with the critical structural failures and random failures that directly affect probe yields.

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수율향상을 위한 반도체 EDS공정에서의 불량유형 자동분류 (Automatic Classification of Failure Patterns in Semiconductor EDS Test for Yield Improvement)

  • 한영신;이칠기
    • 한국시뮬레이션학회논문지
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    • 제14권1호
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    • pp.1-8
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    • 2005
  • In the semiconductor manufacturing, yield enhancement is an urgent issue. It is ideal to prevent all the failures. However, when a failure occurs, it is important to quickly specify the cause stage and take countermeasure. Reviewing wafer level and composite lot level yield patterns has always been an effective way of identifying yield inhibitors and driving process improvement. This process is very time consuming and as such generally occurs only when the overall yield of a device has dropped significantly enough to warrant investigation. The automatic method of failure pattern extraction from fail bit map provides reduced time to analysis and facilitates yield enhancement. The automatic method of failure pattern extraction from fail bit map provides reduced time to analysis and facilitates yield enhancement. This paper describes the techniques to automatically classifies a failure pattern using a fail bit map.

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Premature Failure Analysis of Servovalve Components for a Thermal Power Plant

  • Chang, Sung-Yong;Chang, Joong-Chel;Kim, Bum-Soo;Seo, Min-Woo;Choi, Chel-Jong
    • 대한금속재료학회지
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    • 제49권9호
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    • pp.708-714
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    • 2011
  • The premature failure of a servovalve used for six months in a thermal power plant has been analyzed. The servovalve was made of stainless steel, containing 16Cr-0.44Mo, along with other elements. An overload of oil-supply pumping and an abnormal increase in the oil flux were observed during operation. A study revealed that erosion and corrosion could be the main causes of the failure. The visual examination of the servovalve did not show any appreciable damage. However, corrosion and erosion of the servovalve were observed using scanning electron microscopy (SEM). Upon examination of the servovalve, the corrosion was found to have occurred throughout the bushing and spool; however, erosion occurred at only the edge-side. In addition, the condition of the electrohydraulic control system (EHC) oil was investigated with respect to its satisfaction of the management standard.

기계학습을 이용한 로봇 관절부 고장진단에 대한 연구 (Study on the Failure Diagnosis of Robot Joints Using Machine Learning)

  • 김미진;구교문;심재홍;김효영;김기현
    • 반도체디스플레이기술학회지
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    • 제22권4호
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    • pp.113-118
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    • 2023
  • Maintenance of semiconductor equipment processes is crucial for the continuous growth of the semiconductor market. The process must always be upheld in optimal condition to ensure a smooth supply of numerous parts. Additionally, it is imperative to monitor the status of the robots that play a central role in the process. Just as many senses of organs judge a person's body condition, robots also have numerous sensors that play a role, and like human joints, they can detect the condition first in the joints, which are the driving parts of the robot. Therefore, a normal state test bed and an abnormal state test bed using an aging reducer were constructed by simulating the joint, which is the driving part of the robot. Various sensors such as vibration, torque, encoder, and temperature were attached to accurately diagnose the robot's failure, and the test bed was built with an integrated system to collect and control data simultaneously in real-time. After configuring the user screen and building a database based on the collected data, the characteristic values of normal and abnormal data were analyzed, and machine learning was performed using the KNN (K-Nearest Neighbors) machine learning algorithm. This approach yielded an impressive 94% accuracy in failure diagnosis, underscoring the reliability of both the test bed and the data it produced.

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수율 향상을 위한 반도체 공정에서의 불량 유형 자동 분류 (Automatic classify of failure patterns in semiconductor fabrication for yield improvement)

  • 한영신;최성윤;김상진;황미영;이칠기
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2003년도 추계학술대회 및 정기총회
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    • pp.147-151
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    • 2003
  • Yield enhancement in semiconductor fabrication is important. Even though DRAM yield loss may be attributed to many problems, the existence of defects on the wafer is one of the main causes. When the defects on the wafer form patterns, it is usually an indication for the identification of equipment problems or process variations. In this paper describes the techniques to automatically classify a failure pattern using a fail bit map.

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직접 확산 방식을 이용한 반도체 장비 통신 프로토콜 구현 (The Implementation of Communication Protocol for Semiconductor Equipments using Directed Diffusion)

  • 김두용;조현찬
    • 반도체디스플레이기술학회지
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    • 제12권2호
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    • pp.39-43
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    • 2013
  • The semiconductor equipments generate necessary data through communication networks for the effective manufacturing processes and automation of semiconductor equipments. For transferring data between semiconductor equipments and sending data to monitor equipments, several standards for communication protocols have been proposed. Communication networks in semiconductor manufacturing systems will transmit a lot of data traffic, which can be vulnerable in data delay and network failure. Therefore, it is required that data traffic need to be distributed. To accomplish this objective, we recommend the use of a redundant and valuable communication path which is constructed by a wireless sensor network. In this paper, the directed diffusion method for wireless sensor networking is suggested for networking semiconductor equipments. It is shown that how the directed diffusion is employed to connect semiconductor equipments. Also, we show how to implement the SECS of semiconductor equipments communication protocols based on the directed diffusion.

전력 손실 평균화 기법에 의한 3상 전압형 인버터의 소손 모드에 관한 연구 (A Study of Failure Mode for 3 Phase VSI by Power Loss Averaging Technique)

  • 조수억;박성준
    • 전기학회논문지
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    • 제59권3호
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    • pp.575-580
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    • 2010
  • This paper is to design an optimum power conversion device for the system required for development of a low cost 3-phase power inverter. For this purpose, in order to meet with endurance required by the industry, failure mode is standardized to guarantee lifetime of a power semiconductor by monitoring real time power loss and to facilitate failure mode analysis. As normality of heat loss of a power semiconductor is identified remaining in a certain range by comparing heat rise slope between that is calculated by using average current or average loss and that is measured at a heat sink, its feasibility is confirmed by experiment.

델파이법을 이용한 금융통장 정보 인식용 광학필터 결정인자 도출에 관한 연구 (A Study on the Selecting Determine Factors of Optical Filter for Recognition Financial Account Using Delphi Method)

  • 유형근;이강원
    • 한국전기전자재료학회논문지
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    • 제27권1호
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    • pp.61-69
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    • 2014
  • In this paper, we have researched semiconductor optical filters to solve the problem of the high failure rate that are recognize bad of financial account, jam of financial account and the ATM service interruption due to failure of accurate location information among the operation of the ATM (automatic teller machine) systems. A semiconductor optical filters that have high resolution and less diffuse, high transmittance are able to detect the information of financial account surface accurately. Therefore, it is a stable filter that is able to minimize the incidence of disability. In this paper, we drew the determinants by element for implement an excellent semiconductor optical filters. Based on this, we had to be able to implement the semiconductor optical filter that is able to be mounted on the actual ATM system through future studies.

유도전동기의 고정자 고장 진단을 위한 CNN의 활성화 함수 선정 (A Activation Function Selection of CNN for Inductive Motor Static Fault Diagnosis)

  • 김경민;김용현;박근호;이범;이상로;고영진
    • 한국전자통신학회논문지
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    • 제16권2호
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    • pp.287-292
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    • 2021
  • 본 논문에서는 유도전동기 고정자 고장 진단에 있어서 활성화 함수가 미치는 영향을 분석하여 효율적인 CNN 활용 방법을 제안하였다. 일반적으로 유도전동기 고정자 고장 진단의 주된 목적은 미세한 턴 단락을 빠르게 진단함으로 고장을 미리 방지함에 있다. 이에 활성화 함수 활용에 있어서 전반적인 고정자 고장에는 ReLu가 우수성을 보임을 알 수 있었으나, 미세한 턴 단락인 2턴 단락에 있어서는 Sigmoid 함수가 ReLu 함수보다 진단의 정확도에 있어서 23.23% 유용함을 실험을 통해 확인할 수 있었다.

초음파를 이용한 반도체의 신뢰성 평가 (Reliability Evaluation of Semiconductor using Ultrasonic)

  • 장효성;하욥;장경영;김정규
    • 한국신뢰성학회:학술대회논문집
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    • 한국신뢰성학회 2001년도 정기학술대회
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    • pp.239-244
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    • 2001
  • Today, Ultrasonic is used as an important non-destructive test tool of semiconductor reliability evaluation and failure analysis. The semiconductor packaging trend goes to develop thin package, this trend makes difficult to inspect to defect in semiconductor package. One of the important problem in all semiconductor is moisture absorption in the atmosphere. This moisture causes crack or delamination to package when the semiconductor package is soldered on PCB. Reliability evaluation of semiconductor's object is investigating the effect of this moisture. For that reason, this study is investigating the effect of this moisture and reliability evaluation of semiconductor after preconditioning test and scanning acoustic microscope.

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