Statistical Modeling Of Reliability Structures And Industrial Processes
Download Statistical Modeling Of Reliability Structures And Industrial Processes PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Modeling Of Reliability Structures And Industrial Processes book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Statistical Modeling of Reliability Structures and Industrial Processes
Author: Ioannis S. Trianntafyllou
language: en
Publisher: CRC Press
Release Date: 2022-09-27
This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications. It comprehensively covers important topics including consecutive-type reliability systems, coherent structures, multi-scale statistical modeling, the performance of reliability structures, big data analytics, prognostics, and health management. It covers real-life applications including optimization of telecommunication networks, complex infrared detecting systems, oil pipeline systems, and vacuum systems in accelerators or spacecraft relay stations. The text will serve as an ideal reference book for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
Statistical Modeling of Reliability Structures and Industrial Processes
Author: Ioannis S Trianntafyllou
language: en
Publisher: CRC Press
Release Date: 2022-07-20
This reference text introduces latest statistical modeling techniques of reliability structures and industrial processes. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
Statistical Methods and Applications in Systems Assurance and Quality
In the era of big data and real-time monitoring, vast amounts of information are generated every second through sensors and advanced tracking systems. The information contained in the data needs to be carefully analyzed and accurate results must be delivered to the users as soon as possible. This book explores the critical role of statistics in modern technologies and applied sciences such as health, informatics, and production systems. Statistical Methods and Applications in Systems Assurance and Quality provides a comprehensive overview of statistical methods for ensuring system quality and reliability. It discusses best practices for improving the quality of manufacturing products by using proper statistical methods. The book covers the current state of statistical methods used for system quality and conveys the importance of healthcare systems and employing statistics in the detection of epidemic outbreaks. Designed for researchers, industry professionals, and academics, this reference is ideal for those working in manufacturing, healthcare, computer engineering, statistical process control, and machine learning applications. It serves as a valuable resource for anyone seeking to enhance system performance through data-driven insights.