dc.contributor.author |
Ranganayakulu, Chennu |
|
dc.date.accessioned |
2023-11-10T04:09:19Z |
|
dc.date.available |
2023-11-10T04:09:19Z |
|
dc.date.issued |
2021 |
|
dc.identifier.uri |
https://www.igi-global.com/chapter/optimization-of-aerospace-big-data-including-integrated-health-monitoring-with-the-help-of-data-analytics/263223 |
|
dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/12985 |
|
dc.description.abstract |
The objective of this chapter is to present the role and advantages of big data governance in the optimal use of integrated health monitoring systems with a specific reference to the aerospace industry. Aerospace manufacturers and many passenger airlines have realized the benefits of sharing and analyzing the huge amounts of data being collected by their latest generation airliners and engines. While aero engines are already equipped with integrated engine health monitoring concepts, aircraft systems are now being introduced with integrated vehicle health monitoring concepts which require large number of sensors. The data generated by these sensors is enormously high and grows over a period of time to constitute a big data to be monitored and analyzed. This chapter aims to give an overview of various systems and their data logging processes, simulations, and data analysis. Various sensors that are required to be used in important systems of a typical fighter aircraft and their functionalities emphasizing the huge volume of data generated for the analysis are presented in this chapter. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IGI Global |
en_US |
dc.subject |
Mechanical Engineering |
en_US |
dc.subject |
Big Data Analytics |
en_US |
dc.subject |
Data Analytics |
en_US |
dc.subject |
Aerospace |
en_US |
dc.title |
Optimization of Aerospace Big Data Including Integrated Health Monitoring With the Help of Data Analytics |
en_US |
dc.type |
Article |
en_US |