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Kirjailija

Farhad Balali

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2020–2021, suosituimpiin kuuluu Data Intensive Industrial Asset Management. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 2020–2021.

Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management

Farhad Balali; Jessie Nouri; Adel Nasiri; Tian Zhao

Springer Nature Switzerland AG
2021
nidottu
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.
Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management

Farhad Balali; Jessie Nouri; Adel Nasiri; Tian Zhao

Springer Nature Switzerland AG
2020
sidottu
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.