Data: Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model

Autor:	MejiaCruz, Yohanna, Caicedo, Juan, Jiang, Zhaoshuo, Franco lozada, Jean michel
Rok vydání:	2022
Předmět:	PFEEL algorithm Bayesian inference Gaussian regression process event detection floor vibrations probabilistic event detection
DOI:	10.17605/osf.io/uhkrd
Popis:	Random excitations on an aluminum plate were generated using an impact hammer. The accelerations caused by the impact were recorded using four accelerometers dispersed on the plate. The data was developed to validate the probabilistic force estimation and event localization PFEEL algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b33fbd5eae842d6e9092488fabf1135c Zobrazit plný text záznamu