Data Intensive Industrial Asset Management
IoT-based Algorithms and Implementation
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Beschreibung
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.
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
Autor*in
Farhad Balali
Themen in »Data Intensive Industrial Asset Management«
Internet of Things Optimization of Manufacturing Systems Using Internet of Things Predictive Failure Detection Algorithms Big Data Analytics Edge and Cloud Computing quality control, reliability, safety and risk