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Titlebook: Data Intensive Industrial Asset Management; IoT-based Algorithms Farhad Balali,Jessie Nouri,Tian Zhao Book 2020 Springer Nature Switzerland

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Josep Domingo-Ferrer,David Sánchez design patterns of the cloud platforms and cloud-based IoT tools to build an efficient, maintainable, and customizable IoT application. This chapter will review the cloud-based IoT tools of Microsoft Azure platform.
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Implementation Tools of IoT Systems, design patterns of the cloud platforms and cloud-based IoT tools to build an efficient, maintainable, and customizable IoT application. This chapter will review the cloud-based IoT tools of Microsoft Azure platform.
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Book 2020ques, 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..
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Data Analytics,re conveniently. The main focus of this chapter is on the value of data analytics. Data analytics can have various applications depending on the time of the execution. In general, analytics can be classified as descriptive, diagnostic, predictive, and prescriptive. The details of each level of data analytics are presented in this chapter.
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Book 2020tudy 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 techni
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Industrial Asset Management and Maintenance Policies,et. The outputs of the optimization problem can highly affect the high-level decisions, which mainly seek to minimize the costs and maximize the reliability in a component, unit, or system..Industries with an IoT network can use smart assets with connection capabilities to send real-time data on the
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Asset Aging Through Degradation Mechanism,urred as a soft failure. It should be considered that some types of degradation mechanisms can be measured or observed with less effort compared to other types. For instance, the degradation mechanism due to the length of the crack can be easily monitored by measuring the crack length, while the deg
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Predictive Degradation Models,estructive or non-destructive test to collect information regarding the performance indicator or asset characteristics. The main target of the non-destructive degradation-based model is estimating the distribution of the time-to-failure data estimated based on the first time which degradation profil
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