Applied Reliability  ECE 510

Class Information

Tuesday and Thursday  5:00P – 6:50P
Location: Capital Center, 185th and Walker Rd.
Room: 1306.

Note: Slides and collateral materials are intended for class use only so they are protected by password.  If you need access, send an email to Glenn or Scott who will provide you with username and password.

Note: Exam will be held on June 9, 5:30P – 7:30P in the regular classroom (room 1306, Capital Center).

Instructors

Glenn Shirley, PSU ECE
Scott Johnson, IntelPh.  (503) 613-3862

Syllabus (Tentative)

Lecture

Day

Topics

Reading
(Prior to class.)

Problems and Projects

Slides

1

Tuesday, March 31, 2009

Preliminaries.  Syllabus. Resources. Etc.
Scope, Definitions.  Human mortality example.

T&T Chapter 1 Descriptive Statistics

Problems for Lecture 1

Slides for Lecture 1

2

Thursday, April 02, 2009

Reliability concepts, data synthesis, censoring, distributions, PDF, CDF, simulation.

T&T Chapter 2 Reliability Concepts

Problems for Lecture 2a
Human Mortality Data

Slides for Lecture 2a
Slides for Lecture 2b

3

Tuesday, April 07, 2009

Basic statistics, exponential distribution, planning experiments, confidence limits, “exbit

T&T Chapter 3 Exponential Distribution

T&T Chapter 4: Weibull Distribution

T&T Chapter 5: Normal and Lognormal Distributions

Problems for Lecture 3
Exponential Data Problem xls file
“Reliability Ruler” Excel Tool

Slides for Lecture 3

4

Thursday, April 09, 2009

Weibull, normal, lognormal distributions.  Synthesis, parameter extraction, least squares, probit, Weibit.

T&T Chapter 4, example 4.4, p. 96.

Problems for Lecture 4
Data set for Problem 4a.1 (Shavali)
Problem 1.2 Solution
Problem 1.3 Solution
Problem 1.4 Solution

Slides for Lecture 4a
Slides for Lecture 4b

5

Tuesday, April 14, 2009

Experimental Design/Parameter Extraction Optimization
Hazard analysis, Kaplan-Meier Analysis.

T&T Chapter 6: Reliability Data Plotting

Problems for Lecture 5
Lecture 3 Problem Reviews (Dave, Satoshi, Dan)

Slides for Lecture 5
Excel Application for Lecture 5

6

Thursday, April 16, 2009

Acceleration models
Maximum Likelihood Estimation (MLE).

T&T Chapter 7: Physical Acceleration Models, JEDEC JEP122E.

Problems for Lecture 6
Lecture 4 Problem Reviews (Shavali, Krit)

Slides for Lecture 6
MLE Excel Demo.

7

Tuesday, April 21, 2009

MLE, Likelihood Ratio Test
Introduction to Infant Mortality Control

Lecture 7 Problems
Lecture 5 Problem Reviews (Biki, Saikiran, Dan)
Solution to 5.1
Solution to 5.2
Special Slides for “Rel Ruler”
New Version of Rel Ruler Excel Tool

Slides for Lecture 7a
Slides for Lecture 7b

8

Thursday, April 23, 2009

Defect Model of Reliability
Burn In Time Methodology,  Fault Tolerance

Glenn's IRPS 1995 Tutorial paper.

Lecture 6 Problem Reviews (Kalyan, Satoshi, Hina)
Solutions to Problems 3.1, 3.2, 4.1, 4.2, 6.1, 6.2,
6.3

Slides for Lecture 8

9

Tuesday, April 28, 2009

Problem Romp.  We’ll spend the lecture doing example problems in preparation for the Exam.

Lecture 7 Problem Reviews
Solution to 7.1
Solution to 7.2
Solution to 7.3

Study Guide

10

Thursday, April 30, 2009

EXAM

 

 Mid-Term Exam Workbook

 Mid-Term Exam

11

Tuesday, May 05, 2009

Review Exam
.
Select Projects for second half of course.

 

Mid-Term Exam Solution
Mid-Term Exam Solution Workbook
Mid-Term Exam Solution Workbook Problem 5
Project Selection

Slides for Lecture 11

12

Thursday, May 07, 2009

Si Mechanisms I Wearout (Scott)

 

 

Slides for Lecture 12

13

Tuesday, May 12, 2009

Si Mechanisms II Soft Error (SER) (Norbert Seifert, Intel)

Baumann,
Biswas et al
Nguyen et al,
Seifert et al,
Tezzaron White Paper

Project Strategy Due

Slides for Lecture 13

14

Thursday, May 14, 2009

III-V Reliability (Bill Roesch, Triquint Fellow). 

Case studies, papers.

Slides for Lecture 14

15

Tuesday, May 19, 2009

Package Reliability (Glenn)
Moisture, HAST. Thermomechanical.  T/C, popcorn. Test Chip Design

Bake JEDEC 22A103C
Steam JEDEC 22A102C
85/85 JEDEC 22A101B
HAST JEDEC 22A110B
T/C JEDEC 22A104B
T/S JEDEC 22A106B
Precond JEDEC 22A113D

Slides for Lecture 15

16

Thursday, May 21, 2009

Quality Control
OC Curves, Control Charts.
System Reliability

T&T Chapter 9

OC Curve Web Application

Slides for Lecture 16

17

Tuesday, May 26, 2009

Si Mechanisms III (Steve Ramey, Intel)

Oxide Breakdown (Suehle, Nicollian, Stathis)

High-k Dielectric Reliability (Ribes)

Bias-Temperature Instability (Schoeder)

Slides for Lecture 17

18

Thursday, May 28, 2009

Project Working Session.  No lecture scheduled.  Glenn and Scott will be in the classroom to help and advise with the projects.

 

19

Tuesday, June 02, 2009

5P to 6P Project Reviews
Biki, Hina, Dan

6P to 7P Big Picture (Babak Sabi, Intel.  VP CQN)

Project Presentations

Slides for Lecture 19

20

Thursday, June 04, 2009

Project Reviews
Dave, Shavali, Kalyan, Satoshi, Saikiran, Krit

Exam Prep.

 

Project Presentations

Study Guide Exam 2

Exam Week

Tuesday, June 09, 2009

EXAM 5:30P - 7:30P, Location: Room 1306 Capital Center.  (Regular classroom.)

 

 

Exam Solution
Exam Solution Workbook
Grade Distributions

 

Books, References and Links

Textbook

P. A. Tobias and D. C. Trindade, “Applied Reliability,”  2nd Edition Van Nostrand Reinhold, New York, 1994.

Other Books

W. Q. Meeker and Luis A. Escobar, “Statistical Methods for Reliability Data” Wiley-Interscience (1998)

W. Nelson, “Applied Life Data Analysis”  Wiley, New York, 1982.

W. Nelson, “Accelerated Testing,”  Wiley, New York, 1990.

References

Agostinelli, Marty; ..Johnson, Scott C.; .. Erratic Fluctuations of SRAM Cache Vmin at the 90nm Process Technology Node, IEEE International Electron Devices Meeting, 2005. IEDM.

Baumann, R. C., “Radiation-induced soft errors in advanced semiconductor technologies”, IEEE Transactions on Device and Materials Reliability, Volume 5,  Issue 3, pp. 305 – 316, 2005

Biswas, A.,  et al., “Computing architectural vulnerability factors for address-based structures”, in proceedings of International Symposium on Computer Architecture (ISCA), pp. 532 – 543, 2005

Black, James R., Current Limitations of Thin Film Conductors , 20th Annual Reliability Physics Symposium, March 1982 Page(s):300 – 306.

Black, James R., Electromigration - A Brief Survey and Some Recent Results, IEEE Transactions on Electron Devices Volume 16, Issue 4, Apr 1969 Page(s):338 – 347.

Black, James R., Electromigration Failure Modes in Aluminum Metallization for Semiconductor Devices, Proceedings of the IEEE. Vol 57. no. 9. September 1969.

Black, James R., Electromigration of Al-Si Alloy Films, 16th Annual Reliability Physics Symposium,. April 1978 Page(s):233 – 240.

Black, James R., Mass Transport of Aluminum by Momentum Exchange with Conducting Electrons, 6th Annual Reliability Physics Symposium, held November 6-8, 1967, in Los Angeles.

Black, James R., Physics of Electromigration, 12th Annual Reliability Physics Symposium, 1974. April 1974 Page(s):142 - 149

Galloway, Jesse E.; Miles, Barry M., Moisture Absorption and Desorption Predictions for Plastic Ball Grid Array Packages, IEEE Transactions on Components, Packaging, and Manufacturing Technology - Part A, Vol. 20, No. 3, September 1997 pp 274-279..

Gu, Chen; Kwasnick, Robert F.; Mielke, Neal R.; Monroe, Eric M.; Shirley, C. Glenn, Ambient Use-Condition Models for Reliability Assessment, Proceedings of 44th Annual Reliability Physics Symposium, pp. 299-306, 2006..

Hicks, J. et al.  45nm Transistor Reliability, Intel Technical Journal, 2008.

JEP122E Failure Mechanisms and Models for Semiconductor Devices, JEDEC Publication.  March 2009

Kitano, Makoto; Nishimura, Asao; Kawai, Sueo; Nishi, Kunihiko, Analysis of Package Cracking During Reflow Solder Process, International Reliability Physics Symposium 1988. 26th Annual Proceedings. pp 90-95.

Nguyen, H.T.,  et al., “Chip-Level Soft Error Estimation Method”, Device and Materials Reliability, IEEE Transactions on, Volume 5,  Issue 3,  Sept. 2005, pp. 365 – 381

Riordan, W. C.; Miller, R.; Sherman, J. M.; Hicks, J., Microprocessor Reliability Performance as a Function of Die Location for a 0.25 micron, Five Layer Metal CMOS Logic Process, 37th Annual International Reliability Physics Symposium, San Diego, California, 1999, pp 1 - 11.

Rzepka, Sven; Banerjee, Kaustav; Meusel, Ekkehard; Hu, Chenming, Characterization of Self-Heating in Advanced VLSI Interconnect Lines Based on Thermal Finite Element Simulation, IEEE Transactions on Components, Packaging, and Manufacturing Technology - Part A, Vol. 21, No. 3, September 1998 pp 406-411.

Seifert, N.,  et al., “Radiation Induced Clock Jitter and Race”, International Physics Reliability Symposium (IRPS, San Jose, CA), April 2005, pp.215-222

Schafft, Harry; Lechner, James A.; Sabi, Babak; Mahaney, Mike; Smith, Ron C., Statistics for Electromigration Testing, International Reliability Physics Symposium 1988. 26th Annual Proceedings. pp 192-202.

Shirley, Carvin Glenn, A Defect Model of Reliability, From Tutorial Notes, 33rd Annual International Reliability Symposium, Las Vegas, Nevada April 3, 1995, pp. 3.1 - 3.56.

Shirley, Carvin Glenn, Analysis and Synthesis of Correlated Data, Intel Corporation, 2004.

Shirley, Carvin Glenn, New Generation HAST System, Intel Corporation, 1994.

Shirley, Carvin Glenn, Steady-state temperature profiles in narrow thin-film conductors, American J. Appl. Phys. 57 (3), 1 February 1985.

Shirley, Carvin Glenn; Bose, Subroto; Blish II, Richard C., Application of Test Chips in Packaging and Assembly, University of California, Berkeley, 1986.

Shirley, Carvin Glenn; Shell-DeGuzman, Melissa, Moisture-Induced Gold Bond Degradation of Polyimide-Passivated Devices in Plastic Packages, Proceedings of 31st Annual Reliability Physics Symposium, pp. 217-226, 1993..

Weibull, Waloddi, A Statistical Distribution of Wide Applicability, Journal of Applied Mechanics, 1951 pp. 293-297

Oxide Breakdown

        John S. Suehle, “Ultrathin Gate Oxide Reliability: Physical Models, Statistics, and Characterization,” IEEE TED, vol. 49, no. 6, June 2002 p. 958.

        Paul E. Nicollian, Anand T. Krishnan, Cathy A. Chancellor, Rajesh B. Khamankar, Srinivasan Chakravarthi, Chris Bowen, and Vijay K. Reddy, “The Current Understanding of the Trap Generation Mechanisms that Lead to the Power Law Model for Gate Dielectric Breakdown,” IRPS 2007 p. 197.

        James H. Stathis, “Physical and Predictive Models of Ultrathin Oxide Reliability in CMOS Devices and Circuits,” IEEE TDMR, vol. 1, no. 1, march 2001. p.43.

 

High-K

        G. Ribes, J. Mitard, M. Denais, S. Bruyere, F. Monsieur, C. Parthasarathy, E. Vincent, and G. Ghibaudo, “Review on High-k Dielectrics Reliability Issues,” IEEE TDMR, vol. 5, no. 1, march 2005 p. 5.

 

Bias-Temperature Instability (BTI)

        Dieter K. Schroder and Jeff A. Babcock, “Negative bias temperature instability: Road to cross in deep submicron silicon semiconductor manufacturing,” JAP volume 94, n.1, July 1, 2003, pp. 1-18.

 

Links

Electromigration - Wikipedia

International Technology Roadmap for Semiconductors (ITRS, 2007)

Intel Technology Journal

Sematech

NIST Engineering Statistics Handbook.

Tezzaron Semiconductor – “Soft Errors in Electronic Memory – A White Paper

Course Description

Reliability is a critical element in the performance and cost optimization for components and systems.  It can even determine the feasibility of a product.  So it is important to have a good understanding of methods used to specify, design-in, validate, and control reliability of electronic components and systems at all stages of the product lifecycle from design to manufacturing.  After establishing fundamental concepts and methods, we will cover examples of design-for-reliability features, silicon and package failure mechanisms, test technologies, quality control methods, and product specification and qualification examples.  The mainly statistical methods utilize simple tools such as hand calculators, and Excel.  Also covered are system-level reliability design methods, manufacturing quality control methods applied to reliability, and the role of industry standards.

Prerequisites

Elementary statistics, including probability, descriptive statistics, and statistical distributions.

Experience with Excel, particularly built-in statistical functions and VBA.

Learning Goals

Reliability Models.  Mastery of formal theory needed to model reliability of components and systems.  Includes reliability statistics, distributions, acceleration, scaling models.

Parameter Extraction.  Methods to extract reliability model parameters from data.  Understand variability and confidence limits of figures of merit used in decision-making.  Design experiments to extract parameters with prescribed confidence levels.  Particular emphasis on simulation methods.

Reliability Prediction.  Use of reliability models to compute indicators and figures of merit.  Analytical and simulation methods.

Mechanisms.  Understand the most important component reliability mechanisms – silicon, III/V, package.  Thermally-accelerated, voltage-accelerated, thermo-mechanical, moisture, soft error.  Defect, random, wearout.

System Reliability.  Beyond MIL HDBK 217 to platform qual – integration risks.

Product Qualification. Understand pros/cons of approaches to product qualification.  Stress-based qual, knowledge-based qual, “physics of failure”-based qual.  Role of industry standards in product qualification.