Prognostics and remaining useful life (RUL) estimation predicting with confidence / Diego Galar, Kai Goebel, Peter Sandborn, Uday Kumar.
| Author/creator | Galar, Diego |
| Other author | Goebel, Kai. |
| Other author | Sandborn, Peter A., 1959- |
| Other author | Kumar, Uday (Professor of mechanical engineering) |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2022. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Information in maintenance -- Predictive maintenance programs and servitization maintenance as a service (MaaS) creating value through prognosis capabilities -- RUL estimation powered by data-driven techniques -- Context awareness and situation awareness in prognostics -- Black swans and physics of failure -- Hybrid prognostics combining physics-based and data-driven approaches -- Prognosis in prescriptive analytics -- Uncertainty management and the confidence of RUL predictions -- RUL estimation of dynamic and static assets -- Principles of digital twin -- Application of prognosis in industry, energy, and transportation. |
| Abstract | "Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method and Prognostics forms a key element of a CBM program which is based on mathematical models for predicting the remaining useful life (RUL). Current book compares the techniques and models used to estimate the RUL of different assets including review of the relevant literature on prognostic techniques and their use in the industrial field. It describes different approaches and prognosis methods for different assets backed up by appropriate case studies"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2021035042 |
| ISBN | 9780367563066 (hardback) |
| ISBN | (ebook) |