TY  - GEN
AB  - This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system. Provides a comprehensive reference, focused on the Asset Health Management Optimization Approach Using Internet of Things (IoT); Describes a data-driven optimization method, which considers the challenges raise by big data analysis; Enables a multi-objective approach, which includes the healthy index, reliability, availability, and cost, with respect to the optimization methods and computational restrictions which can have various applications.
AU  - Balali, Farhad.
AU  - Nouri, Jessie.
AU  - Nasiri, Adel.
AU  - Zhao, Tian.
CN  - TA169.7
CY  - Cham :
DA  - 2020 :
ET  - 1st ed. 2020.
ID  - 1360293
KW  - Quality control.
KW  - Reliability.
KW  - Industrial safety.
KW  - Buildings
KW  - Building.
KW  - Construction.
KW  - Engineering, Architectural.
KW  - Statistics.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-35930-0
N2  - This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system. Provides a comprehensive reference, focused on the Asset Health Management Optimization Approach Using Internet of Things (IoT); Describes a data-driven optimization method, which considers the challenges raise by big data analysis; Enables a multi-objective approach, which includes the healthy index, reliability, availability, and cost, with respect to the optimization methods and computational restrictions which can have various applications.
PB  - Springer International Publishing,
PB  - Imprint Springer.
PP  - Cham :
PY  - 2020 :
SN  - 9783030359300
SN  - 3030359301
SN  - 3030359298
SN  - 9783030359294
SN  - 9783030359317
SN  - 303035931X
SN  - 9783030359324
SN  - 3030359328
T1  - Data Intensive Industrial Asset Management :IoT-based Algorithms and Implementation /
TI  - Data Intensive Industrial Asset Management :IoT-based Algorithms and Implementation /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-35930-0
ER  -