Data Intensive Industrial Asset Management
Author | : Farhad Balali |
Publisher | : Springer Nature |
Total Pages | : 247 |
Release | : 2020-01-22 |
ISBN-10 | : 9783030359300 |
ISBN-13 | : 3030359301 |
Rating | : 4/5 (00 Downloads) |
Download or read book Data Intensive Industrial Asset Management written by Farhad Balali and published by Springer Nature. This book was released on 2020-01-22 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.