Cover is for reference only

Prognostics and remaining useful life (RUL) estimation : predicting with confidence /

"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 o...

Full description

Saved in:
Bibliographic Details
Main Authors: Galar, Diego
Group Author: Goebel, Kai; Sandborn, Peter A., 1959-; Kumar, Uday (Professor of mechanical engineering)
Published: CRC Press,
Publisher Address: Boca Raton :
Publication Dates: 2022.
Literature type: Book
Language: English
Edition: First edition.
Subjects:
Machinery > Maintenance and repair > Management.
Machinery > Reliability > Forecasting.
Service life (Engineering) > Forecasting.
Replacement of industrial equipment > Forecasting.
Machines > Gestion. > Gestion.
Machines > Prévision. > Prévision.
Durée de vie (Ingénierie) > Prévision.
Entreprises > Prévision. > Prévision. > Prévision.
Machinery > Management. > Management.
Summary: "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"--
Carrier Form: xxviii, 461 pages : illustrations ; 26 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9780367563066
0367563061
9780367563097
0367563096
Index Number: TJ174
CLC: TH17
Call Number: TH17/G146-1
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.

Related Book Recommendations