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:
1) History of HALT and HASS
1) History of HALT and HASS
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.
Reducing Life Cycle Costs through
By Douglas L. Goodman, CEO Ridgetop Group, Inc.
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.
Introduction to PHM
- What is PHM
- Relationship with reliability bathtub curve
- State-of-Health (SoH)
- Remaining Useful Life (RUL)
- What about related terms Integrated Vehicle Health Management (IVHM), CBM, predictive diagnostics, and predictive analytics?
- Linkage with life-cycle and product support eco-system
- Controllability and observability
- 5 level model of diagnostic resolution
- Anomaly detection
- Degradation signatures
- Algorithm and Reasoner technology
- Relationship with MTBF
- HALT and tie-in with PHM
- ISO9000 and AS9100C
Applications and Examples
- Oil/gas industry
- IT / Industrial Networking
Return on Investment (ROI) calculations