Department of Electrical and Electronic Engineering, P.M.B. 14, Ekpoma, Edo State, Nigeria; Department of Computer Science, Ambrose Alli University, P.M.B. 14, Ekpoma, Edo State, Nigeria
Obinabo, E.C., Department of Electrical and Electronic Engineering, P.M.B. 14, Ekpoma, Edo State, Nigeria; Ikpotokm, F.O., Department of Computer Science, Ambrose Alli University, P.M.B. 14, Ekpoma, Edo State, Nigeria
This study presents a statistical quality control study for on-condition monitoring of draught fans in a steelmaking process. The study proposes a procedure for obtaining consistent estimates of peak vibration levels for performance assessment the machines based on independent measurements of the variable assuming the time between successive occurrences of the peak vibration were distributed with a probability density function. © Medwell Journals, 2009.