Assessing remaining useful life of lubricant using Fourier transform infrared spectroscopy

Abstract

Purpose – The purpose of this paper is to check the actual life of lubricating oil. Design/methodology/approach – Present work aims to find the remaining useful life of the lubricant based on study of periodic deterioration of oil. Chronological samples of oil were selected from the dumper of a local open cast mine. The deterioration in oil was studied using Fourier transform infrared (FTIR) spectroscopy. Findings – The data obtained from FTIR spectroscopy was used in vector projection approach and analytical hierarchy process to evaluate the remaining useful life of the lubricating oil. Originality/value – FTIR spectra were used to study the periodic deterioration of oil. IR radiation with all frequencies in the range was passed through the sample. Radiations at certain frequency, depending upon the molecular structure of compounds in the sample were absorbed and rest was transmitted by the sample. A spectrum representing molecular absorption or transmission was obtained. Transmission spectra have been used in the study. Comparing the percent value of transmission peak of different chronological sample with that of fresh oil was used to represent the periodic degradation in oil.

Experimental and statistical analysis of wear on gear material

“…The presence of sulfation, oxidation, water and soot is determined by the presence of S O (1100-1200 cm À1 ), C O (1660-1800 cm À1 ), OH (3150-3800 cm À1 ) and (C C, C H) ($2000 cm À1 ) bond respectively that spreads over a defined range given in Table 2. 5,6,[23][24][25] Absorbance increases for sulfation, oxidation, water and soot as . Formation of OH compound refers to the presence of water molecules that has been reported to be responsible for increase in corrosion and decrease in viscosity.…”

“…2000 cm À1 has been marked in Figure 1 as the highest peak in the defined range as given in Table 2. 5 The absorbance percentage of the highest pick of attributes with respect to time has been tabulated in Table 3. It is evident from Figure 1 and Table 3 that the absorbance level of details is increasing with an increase in running days of machinery.…”

“…It is found in heavy earthmoving machinery (HEMM) that oxidation, sulfation, water content and soot level increase as the increase in running hour of HEMM. 5,6 Wear debris analysis is also used to monitor the tribo-machinery without dismantling. 7,8 Based on the diagnostic report of wear debris, scheduled preventive maintenance can be prepended or postponed to avoid catastrophic failure.…”

“…These two parameters are identified by the specified wave number on the spectrum of FTIR. It is found in heavy earthmoving machinery (HEMM) that oxidation, sulfation, water content and soot level increase as the increase in running hour of HEMM 5,6 . Wear debris analysis is also used to monitor the tribo‐machinery without dismantling 7,8 .…”

A data mining approach for lubricant-based fault diagnosis

“…Thirdly, besides the analysis considering univariate parametric interpretation, the analyst's interpretation is generally limited to a particular sample, without considering historical data. Multiple parametric interpretations and interactions of the parameters are rarely considered (Wakiru et al , 2017a); hence, ignoring such parametric interactions may yield an invalid interpretation of the parametric behaviour of the lubricant data (Kumar and Kumar, 2016). Lastly, errors in the sampling procedure may influence the results of the used oil analysis, and if no benchmarking is done, substantial information may go unnoticed or erroneously dismissed.…”