04143nam a22005895i 4500 978-981-99-0275-0 DE-He213 20251030111407.0 cr nn 008mamaa 240130s2024 si | s |||| 0|eng d 9789819902750 978-981-99-0275-0 10.1007/978-981-99-0275-0 doi T55.4-60.8 TGP bicssc TEC009060 bisacsh TGP thema Ren, Yi. author. aut http://id.loc.gov/vocabulary/relators/aut 70181 Model-Based Reliability Systems Engineering [electronic resource] / by Yi Ren, Cheng Qian, Dezhen Yang, Qiang Feng, Bo Sun, Zili Wang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 338 p. 216 illus., 34 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Development phase of reliability systems engineering -- Fundamentals of model based reliability systems engineering (MBRSE) -- MBRSE unified model and global evolution method -- System fault identification and control method based on functional model -- Fault identification and control method based on physical model -- MBRSE R&D process model -- Integrated design platform of model based reliability systems engineering -- MBRSE engineering application case -- MBRSE future outlook. This book introduces a new Model-Based Reliability System Engineering (MBRSE) methodology, including its concept connotation, basic theory and technologies, framework of integrated platform and engineering application cases. Different from traditional Reliability System Engineering (RSE) methods that mainly rely on the management of documents, MBRSE is model centric method, with which the design for hexability (including “reliability, maintainability, testability, supportability, environmental adaptability and safety”) is performed by the revolution of united models in complete R&D fields and the process of closed- loop failure mitigation. This method can integrate all techniques and approaches of reliability engineering into the main process of R&D, and therefore is considered as a generalized hexability design and analysis tool. Furthermore, the future perspectives in the development of MBRSE are also presented through the combination of Digital Twin technology. The main objective of the book is to provide the readers who have engaged in theoretical and technical researches, project management and engineering design applications of reliability engineering, as well as for teachers, senior undergraduates and postgraduates in colleges and universities working on reliability engineering and system engineering. Industrial engineering. Production engineering. Control engineering. Robotics. 59148 Automation. 59149 Industrial and Production Engineering. Control, Robotics, Automation. Qian, Cheng. author. aut http://id.loc.gov/vocabulary/relators/aut 70182 Yang, Dezhen. author. aut http://id.loc.gov/vocabulary/relators/aut 70183 Feng, Qiang. author. aut http://id.loc.gov/vocabulary/relators/aut 70184 Sun, Bo. author. aut http://id.loc.gov/vocabulary/relators/aut 70185 Wang, Zili. author. aut http://id.loc.gov/vocabulary/relators/aut 70186 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819902743 Printed edition: 9789819902767 Printed edition: 9789819902774 https://doi.org/10.1007/978-981-99-0275-0 ZDB-2-ENG ZDB-2-SXE 57378 57378