[Study on the characteristic parameter of oil spectrometric analysis].
This paper establishes a new mathematics model of fault diagnosis basis of oil spectrometric analysis by means of long time following up the mechanical equipment's lubrication oil. The characteristic parameter of oil spectrometric analysis has been confirmed using a new way that the laboratory experiment study and the mechanical equipment's lubrication oil spectrometric analysis are combined in order to confirm the time of fault and avoid serious fault. It will provide the academic and actual basis for RCM and enhance the dependability. The result of examples proves that the characteristic parameter of oil spectrometric analysis has very high stability and veracity. This method has been proved that it was effective in fault diagnosis basis of oil spectrometric analysis.
Wei
Hai-jun
HJ
Marine Engineering College, Dalian Maritime University, Dalian, China.
Wang
Hong-zhi
HZ
Sun
Pei-ting
PT
Yu
Hong-liang
HL
Guan
De-lin
DL
Hu
Qing-cun
QC
Yin
Feng
F
D000535:Aluminum / Q000032:analysis; D003300:Copper / Q000032:analysis; D019544:Equipment Failure Analysis / Q000379:methods; D007501:Iron / Q000032:analysis; D007854:Lead / Q000032:analysis; D008153:Lubrication / Q000592:standards; D008962:Models, Theoretical; D009821:Oils / Q000032:analysis* / Q000737:chemistry; D015203:Reproducibility of Results; D013057:Spectrum Analysis / Q000379:methods*; D014001:Tin / Q000032:analysis; D001335:Vehicle Emissions / Q000032:analysis
D009821:Oils; D001335:Vehicle Emissions; D007854:Lead; D014001:Tin; D003300:Copper; D000535:Aluminum; D007501:Iron