Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohamed Al-Naemi"'
Publikováno v:
2013 IEEE Conference on Prognostics and Health Management (PHM).
Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy approach has been adopted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f060fcdff317ce4756b74273c84a2432
https://doi.org/10.1109/icphm.2013.6621411
https://doi.org/10.1109/icphm.2013.6621411
Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection and isolation (MSFDI) algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80957716a3dff7a838cf2ae6c5b4363d
https://hdl.handle.net/10576/29831
https://hdl.handle.net/10576/29831
The paper presents a new low cost and accurate method for determining the angle from sine and cosine signals produced by resolvers and sinusoidal encoders. In the proposed scheme, multiple phase-shifted sinusoids (PSS) are derived from these signals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbc34b8742d6529662ee07a0f14f8bbf
https://hdl.handle.net/10576/36658
https://hdl.handle.net/10576/36658