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Tutorial 1: 30 Years of HALT: What we have learned
By Mike Silverman, Founder Ops A La Carte
About 30 years ago, some of the
first papers on Strife and Tri-Axial Vibration Screening started being
published. A few years later, the terms HALT and HASS were coined.
By the early 90’s there were two different companies making equipment that
could perform HALT. By the late 90’s, there were many more.
Over the past 30 years, there have been many advances in
the methodologies of HALT, but many of the techniques have remained the same.
I have been working in the area of HALT for 20 years and I
would like to share with you what I have learned over these years. And I
would like to look ahead to the next 20 years to see what we can expect and
what we may need from reliability testing tools. Some of the areas we will cover in this tutorial are:
Mike is founder
and managing partner at Ops A La Carte, a Professional Consulting Company that
has an intense focus on helping customers with end-to-end reliability. Mike
has over 25 years of experience in reliability engineering, reliability
management and reliability training. He is an experienced leader in
reliability improvement through analysis and testing. Through Ops A La Carte,
Mike has had extensive experience as a consultant to high-tech companies, and
has consulted for over 500 companies in over 100 different industries in most
of the United States and 15 countries around the world. A few of the main
industries are telecommunications, networking, medical, semiconductor
equipment, consumer electronics, power, energy, and defense electronics. Mike
is an expert in accelerated reliability techniques and owns HALT and HASS
Labs, one of the oldest and most experienced reliability labs in the world.
Mike has recently completed his first book on reliability entitled “How
Reliable Is Your Product: 50 Ways to Improve Product Reliability”. The
book was published December, 2010. Mike has authored and published 25 papers
on reliability techniques and has presented these around the world including
Canada, China, Germany, Japan, Korea, Singapore, Taiwan, and the USA. He has
also developed and currently teaches over 30 courses on reliability
techniques. Mike has a BS degree in Electrical and Computer Engineering from
the University of Colorado at Boulder, and is a Certified Reliability Engineer
(CRE) through American Society for Quality (ASQ). Mike is a member of ASQ,
IEEE, Stanford PRN, PRG, SME, ASME, PATCA, and IEEE Consulting Society. Mike
is currently the IEEE Reliability Society Santa Clara Valley Chapter Chair.
Tutorial 2:
Reducing Life Cycle Costs through By Douglas L. Goodman, CEO Ridgetop Group, Inc.
Tutorial Abstract As companies seek to reduce the costs of deploying complex systems, many have found PHM methods to be a viable and cost-effective solution. Prognostics, or predictive diagnostics, offers users the ability to avoid catastrophic failures, while reducing unscheduled maintenance costs. This tutorial will cover the motivation for PHM, technologies involved, Return on Investment (ROI) calculations, and practical examples.
This tutorial will begin with definitions and taxonomy of PHM, and
related terms such as Condition-based maintenance (CBM), and their
relationship with the classical bath tub reliability curve and mean time
between failure (MTBF). The technologies associated with PHM will be
discussed, where physical evidence of degradation (through signature
extraction) can be leveraged to optimize the maintenance intervals on critical
systems. In harsh environments, systems will age faster while in mild
environments, not as fast. Thus, condition-based maintenance can guide
more advanced and cost-saving measures for systems. The role of Highly Accelerated Life Test (HALT), seeded fault analysis and their relationship with PHM will also be explored, with extensions in the development of accurate fault-to-failure progression models.
Application examples from aerospace, automotive, oil/gas industry
and industrial networking will be provided.
Tutorial Outline
Introduction to PHM
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What is PHM
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Relationship with reliability bathtub curve
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State-of-Health (SoH)
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Remaining Useful Life (RUL)
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What about related terms Integrated Vehicle Health Management (IVHM), CBM,
predictive diagnostics, and predictive analytics?
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Linkage with life-cycle and product support eco-system
Technologies
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Controllability and observability
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5 level model of diagnostic resolution
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Anomaly detection
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Degradation signatures
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Algorithm and Reasoner technology
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Relationship with MTBF
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HALT and tie-in with PHM
Standards
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OSA-CBM
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IEEE
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SAE
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ISO9000 and AS9100C
Applications and Examples
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Aerospace
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Semiconductor
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Oil/gas industry
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Automotive
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IT / Industrial Networking
Return on Investment (ROI) calculations
Summary
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