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Prognostics and Remaining Useful Life (RUL) Estimation

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 based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies. FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audience This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.

Moms with ADD

Agonize no more, frustrated moms! Moms with ADD is here to help. Rather than pathologize ADD or speculate on causes or medical rationales,Moms with ADD enables readers to recognize ADD and optimize their parenting skills. Filled with anecdotes, quotations, and examples, Christine A. Adamec, coauthor of Do You Have Attention Deficit Disorder?, offers practical coping strategies for family- and job-related concerns. This easy-to-read manual is guaranteed to make moms with ADD happier at home and in the office.

Assistive Technology for Persons with Disabilities