Cheng Qian – författare

This book focuses on the thermal reliability of power semiconductor device by looking at the failure mechanism, thermal parameters monitoring, junction temperature estimation, lifetime evaluation, and thermal management. Theoretical analysis and experimental tests are presented to explain existing reliability improvement techniques. This book is a valuable reference for the students and researchers who pay attention to the thermal reliability design of power semiconductor device.

This book focuses on the thermal reliability of power semiconductor device by looking at the failure mechanism, thermal parameters monitoring, junction temperature estimation, lifetime evaluation, and thermal management. Theoretical analysis and experimental tests are presented to explain existing reliability improvement techniques. This book is a valuable reference for the students and researchers who pay attention to the thermal reliability design of power semiconductor device.

This book focuses on the thermal reliability of power semiconductor device by looking at the failure mechanism, thermal parameters monitoring, junction temperature estimation, lifetime evaluation, and thermal management. Theoretical analysis and experimental tests are presented to explain existing reliability improvement techniques. This book is a valuable reference for the students and researchers who pay attention to the thermal reliability design of power semiconductor device.

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.

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.