1.   A Bird’s Eye View on the Global Experience in PHM Development and Implementation

Michael Pecht, Professor, University of Maryland, USA

Many leading transnational companies in US and Europe are currently working on the implementation of various PHM methodologies and solutions into their products and systems. The area of application ranges from automobile, computers, power supply, consumer products, avionics and aerospace, medical devices and health care, software development, equipment qualification and testing, and many others. These leading companies are fast realizing the effective benefit and the competitive advantage which PHM can create for their business in the longer term. It is now widely acknowledged that the eventual Return-of-Investment (ROI) is significant for organizations in applying PHM to the effective management of the product life cycle and the health status of the product at any given time frame.  The presentation will provide a broad view of the most update adaptation of PHM and its methodology.

2.  Research Challenges in Reliability Computing

Hoang Pham, Professor, Rutgers University, USA

Reliability computing has become a greater concern in recent years due to a spacious array of complex machinery and equipment as well as information-data for our everyday safety, security, mobility and economic welfare. In this talk, I will discuss several research aspects in reliability computing including shared-load systems with consideration of statistical inferences and mortality data analysis.

3.  Reliability Excellence for Enterprise Process

     -- Re-Engineering Business Process via Reliability Methodologies

 

Eden Hsien-Chang Chen, Ph.D.

CTI-Group, International, USA

 

 

 

4.  Prospect on Reliability Requirements Growing Fast in Chinese Industries

Rui Kang, Professor, Beihang University, China

This presentation looks back on the histories of the development on Chinese aviation, electronics, railway, mechanical, automobile, electric power systems and network industries, etc., summarizes the status of applying reliability technologies in these industries, and looks forward to the reliability requirements in Chinese industries within future 20 years according to the research and application on reliability technologies, the requirements on reliability engineering and its professional persons, organization flow in industries, and the development of reliability industries, etc.  

 

5.  Economics and Impact of Reliability Engineering

Elsayed A. Elsayed, Professor, Rutgers University, USA

The intense competitions in the world economy and the ever higher expectations of the customers for “high” quality and “highly reliable” products have placed the role of reliability engineering in the forefront of most businesses.  In this presentation, we will provide examples of the reliability impact on the business and service provider.  We address approaches to improve system reliability to effectively compete in the international economy. Life-cycle cost, system design and maintenance strategies and the effect of the introduction of new technologies on the overall system reliability will be presented.

6.  New Directions and Trends in Reliability, Maintainability and Supportability

K.C.Kapur, Professor, University of Washington, USA

A system has infinite qualities and terms such as reliability, maintainability and supportability [RMS] are “time oriented” qualities. In addition, there are many other qualities that are becoming increasingly popular and useful such as robustness, resilience and sustainability. Thus for RMS to be effective and useful, it must be integrated with other qualities. The purpose of this presentation is to present this trend and an approach to integrate RMS with all the other qualities.

7.   Future Trends in Embedded Reliability and Smart Self-Maintenance Systems

Jay Lee, Professor, University of Cincinnati, USA

This presentation discusses the current research advances on autonomous computing and embedded prognostics technologies for next-generation smart machines and self-maintenance systems. First, a brief introduction on unmet needs in predictive maintenance is given.  Second, emerging infotronics technologies and predictive tools that enable product and systems to achieve near-zero-downtime performance will be introduced.  Third, examples will be given to illustrate the systematic approach and methodology.  Finally, future research direction in the areas of self-maintenance and intelligent sustainable systems will be discussed.

8.   Software Reliability Models and Applications

Min Xie, Professor, National University of Singapore, Singapore

Complex systems consist of both software and hardware. While hardware reliability is a well-development area, software reliability is difficult to deal with. Research on software reliability has been going on for a few decades, but few models have been successfully applied in practice. In this talk, we will discuss some of the issues related to software reliability models with the emphasis on software testing and system reliability analysis. Some useful models will be presented.

9.   Fault diagnostics and prognostics: looking at the past to assess the present and predict the future

Enrico Zio, Professor, Politecnico di Milano, Italy

Failure diagnostics & prognostics focus on the detection and prediction of the health status of engineered equipment, for its optimal management. This is of interest in diverse application areas such as aerospace, transportation, automotive, energy and industrial automation. The lecture addresses some issues involved, both with respect to the model-based techniques, which make use of a quantitative analytical model of the equipment behavior and the knowledge-based or model-free methods, which rely on empirical models built on available data.

10.   Non-probabilistic reliability: An introductory overview

Hong-Zhong Huang, Professor, University of Electronic Science and Technology of China, China

In many real structural problems, it is difficult to estimate precise values of parameters because of inaccurate and insufficient information. To overcome these problems, a new non-probabilistic set model for reliability assessment of structural system is presented. In the proposed model, interval variables are used to represent the uncertainty of parameters. The non-probabilistic reliability index of structure is defined as the satisfaction degree between the stress-interval and the strength-interval. The interval analysis based on the first-order Taylor series is used to calculate the corresponding reliability index. The illustrative example is presented to demonstrate the technique.