On-line detection of incipient trend changes in lubricant parameters

Abstract

Purpose – The purpose of this paper is to present a data fusion methodology for online oil condition and wear particles monitoring for assessment of a mechanical spur gear transmission system. Design/methodology/approach – In this work, a background understanding of the tribological phenomena behind oil degradation and wear on the contact surface of mechanical elements is presented. Experimental results were obtained from oil continuously sampled from an operating a single-stage gearbox. Sampling was done by a multi-sensor automated prototype and online analysis performed by algorithms implemented in a C-code programmed graphical user interface. Findings – Two sets of experiments were performed to observe different fault events frequently occurred in an industrial environment. Fault detection was achieved in appropriate time under constant operating conditions. Under variable operating conditions, same results were obtained by adjusting analysis parameters to critical operation conditions. Originality/value – The value of this research work is the integration of the hardware and software necessary for online monitoring of oil condition and mechanical wear. The setup integrates online sampling with data acquisition, wireless communication, change detection and fault recognition computation. The approach has application in non-destructive online condition-based maintenance.

A review on lubricant condition monitoring information analysis for maintenance decision support

“…Several studies have reviewed the lubricants parameters, for instance, review of physiochemical, contamination and wear analysis in [41], while a review of elemental (wear) analysis and physiochemical properties was done by Salgueiro et.al [71]. A comprehensive review of oil analysis incorporating all the above categories has been done by several articles [16][31] [72], however, they dwell on the lubricant tests and do not review the techniques used to extract knowledge, analyze and assist in decision making as the current review intends.…”

Studying truck transmission oils using the method of thermal-oxidative stability during vehicle operation

“…Based on available theoretical and applied aspects of the oil state study, it is often impossible to draw a conclusion on operating state of the oil used in hydraulic systems even when diagnostic parameters are within their tolerance field [5]. In the process of operation of mating parts, abrasive particles fall into oil causing destruction of parts and increase in activation of their surface layers that makes impossible to establish exact mechanic effects in hard operating conditions.…”

Online infrared spectra detection of lubricating oil during friction process at high temperature

“…Deterioration of lubricity is mainly caused by the variation in chemical structure of lubricating oil under hightemperature working conditions (Wu et al, 2013a(Wu et al, , 2013bSingh et al, 2011). Because of elevated temperature, oxygen and friction, the lubricating oil may get oxidized to form harmful substances (Salgueiro et al, 2015;Kouame and Liu, 2014), which cause the oxidation resistance to decline and eventually cause lubrication failure (Besser et al, 2014). Hence, the superior thermal oxidative stability of lubricating oil is an important factor to exert effective lubrication in the operation of high temperature (Kalam et al, 2017;Besser et al, 2013).…”