Journal Bearing Wear Monitoring via On-Line Visual Ferrography

Abstract

Wear condition of journal bearing was experimentally monitored with an On-Line Visual Ferrograph (OLVF) system. The round bearing was made of 45# steel with babbitt alloy bushing and the bearing journal was made of 45# steel. High stress of the water content of 0%,1%,3% in lubricant, 10 times of a normal load of 2200 N, and the rotating speeds at 500, 1000, 2000 rpm were adopted in accelerated experiment. A quantitative index of particle coverage area (IPCA) together with wear debris ferro-image was used to characterize wear degree and wear mechanisms. Three wear stages with corresponding wear debris ferro-images were identified from IPCA variations characterized by bathtub curve trend. The first one was running-in stage characterized by the highest wear debris producing rate and higher large debris content. The second one was normal wear stage characterized by the lowest wear debris producing rate and small normal debris. The final one was failure initiation stage characterized by higher wear debris producing rate and higher large debris content. The corresponding dominant wear mechanisms were micro-ploughing and micro–cutting induced by rough initial surfaces in the running-in stage, local rub due to vibration in the normal stage, and fatigue and abrasive wear in the failure initiation stage.

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

“…It can effectively monitor the wear state and lubrication state of the friction pairs [68]. At present, the technology of ferrography, [69], spectrum, [70] and related physical and chemical analysis [71][72] are used. Some off-line methods that are inefficient and inevitable delays cannot meet the demand of real-time online detection, and online analysis is the inevitable trend of state analysis.…”

“…The application of the aero engine proved the feasibility and application potential of the on-line wear particle analysis. Wu et al [69] utilized the online ferrography for radial bearings for wear condition monitoring in different conditions, and used ICPA to evaluate the wear condition. Test results showed that the IPCA value accords with bathtub curve, and the main wear mechanisms are micro cutting and plough.…”

Correction strategies of debris concentration for engine wear monitoring via online visual ferrograph

“…The values of k and P were calculated by substituting the raw data into equations (21) and (22). The correction monitoring data (IPCAold) was then calculated.…”

Investigation on Lubrication State of Sliding Bearings in Low-Speed Rotor System Subjected to Torque Load

“…Nikolakopoulos and Papadopoulos [13] established a sliding bearing wear analysis, which can be applied to study the relationship between friction, angle of displacement, wear depth, and wear-related power consumption. Wu et al [14] studied the wear mechanism of sliding bearings involving various moisture contents and rotating speeds. Comparative experimental studies on the friction properties and wear mechanism of different materials of sliding bearings under different working conditions have also been studied [15][16][17][18].…”