This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

This book attempts to document and analyse the complicated role new media play in the adaptation and integration of China's new generation of migrant workers. By analysing the interviews and observations of more than five hundred migrant workers under the age of 25 between 2010 and 2015, the author tries to understand how new media shape the experiences of this significant group of people at different stages of their lives. This study profiles the daily life of this new generation of migrant workers and examines the intricate connections between media and the reconstruction of migrant workers' identity, as well as their urban life adaptation and social inclusion. Not only is their interaction with new media a key factor in decisions to migrate to the city in the first place, but it continues to play a crucial role in how their outlook on life, sense of identity, lifestyle, personal relationships, and aspirations change as they navigate their new environment. These findings reveal the impact of new media on China's accelerating urbanization and modernization. This book will be of interest to students and scholars of Contemporary China Studies, and those who are interested in the urbanization of China in general.

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.