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Accelerated testing has been widely used in reliability estimation for highly reliable products. Among different accelerated testing techniques, accelerated degradation testing is probability the most powerful one. In such tests, the degradation measurements of a product or material under different conditions are collected over time and modeled using various methods. In this tutorial, different methods...
Condition Based Maintenance (CBM), Prognostics and Health Management (PHM), Reliability Centered Maintenance (RCM), and the analytics supporting all these catchy and sounds-too-good-to-be-true after-market service solutions, such as Big Data, Predictive Service, have become so loud it is literally impossible to ignore them. The big driver, of course, is customer demands. These days, customers have...
Fault diagnosis and prognosis (FDP) plays an important role in the modern complex industrial systems. Diagnosis aims to monitor the fault state in real-time while prognosis predicts the evolution of fault state and remaining useful life (RUL). Traditional Riemann sampling-based FDP (RS-FDP) takes samples and executes algorithms periodically and, in most cases, requires significant computational resources,...
To date, most practical implementations of Prognostics and Health Management (PHM) have focused on the health management aspects with only minor attention being given to fault prediction. Commercial and military aerospace systems often employ a wide variety of embedded and on-board sensors to track and estimate the health of systems, and this information is being employed in frameworks such as reliability...
Through the deployment of the Internet of Things (IoT) and the associated explosive evolution of connectivity, issues surrounding reliability, security, privacy and safety have become sources of ever increasing concern. Furthermore, as Big Data is becoming the fabric and currency that bonds the IoT, we have seen an increased demand for advanced data mining and analytics tools over the last decade...
Machine learning has improved to a point where it can achieve near-human accuracy on difficult tasks such as image recognition, speech recognition, and machine translation. However, efficient implementation of machine learning algorithms, particularly for real-time applications remains a challenge. This presentation will first detail the improved Energy, Parallelism, Interface and Customisation (EPIC)...
This topic is based on Physics of Failure. Physics of failure based qualification is also known as Knowledge based qualification (KBQ), which is a different paradigm as compared to standards based qualification (SBQ) of electronic products. Prognostics is often used with physics of failure methods to provide a robust product qualification. This topic will cover that as well.
In this talk, we shall present a few industrial cases in which reliability assessments are needed for making decisions relating to fleet management, product design and replacement strategies. These cases highlight the use of engineering knowledge with statistical modeling for better decision making. In particular, we look into approaches in analyzing large fleets of repairable systems, how to improve...
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