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Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter covers two widely used classes of multivariate data analysis methods, classification and clustering methods. Classification methods are meant: (i) to statistically distinguish or “discriminate” between differences in two or more grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::322b52f3e658a38936819fb5a6a40211
https://doi.org/10.1007/978-1-4419-9613-8_8
https://doi.org/10.1007/978-1-4419-9613-8_8
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter starts by presenting some basic notions and characteristics of different types of data collection systems and types of sensors. Next, simple ways of validating and assessing the accuracy of the data collected are addressed. Subsequently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29feb2e7dbdb0184dec940d04d672d2e
https://doi.org/10.1007/978-1-4419-9613-8_3
https://doi.org/10.1007/978-1-4419-9613-8_3
Autor:
T. Agami Reddy
Publikováno v:
ASME 2008 2nd International Conference on Energy Sustainability, Volume 1.
Research has been ongoing during the last several years on developing robust automated fault detecting and diagnosing (FDD) methods applicable for process faults in chillers used in commercial buildings. These FDD methods involve using sensor data fr