Abstract
The concentration of wear debris in used lubricating oil is generally observed from spectral oil analysis. The element concentration data are one of the commonly used oil field data for degradation evaluation of power-shift steering transmission. However, in practical applications, the underlying degradation degree of the power-shift steering transmission is difficult to evaluate due to the complexity of element concentration data. To solve this problem, we propose a health index extraction methodology using a weighted average method to better characterize the underlying degradation, which leads to an accurate estimation of the residual life before the power-shift steering transmission needs to be maintained. The extracted health index not only maximizes the monotonic trend of underlying degradation but also minimizes the failure threshold variance between different power-shift steering transmissions. The method includes element concentration data modification, data selection, and data fusion steps that result in a reasonable power-shift steering transmission degradation model. Finally, a case study is provided to illustrate the proposed method. The results show that the extracted health index outperforms each selected element concentration data.
Highlights
Power-shift steering transmission (PSST) is one of the vital components that widely used in many heavy tracked vehicles
Failure of the PSST will result in production downtime and delays, which often leads to economic losses and even safety problems that, in turn, may lead to catastrophic consequences
Where v 2 Rs 3 1 represents the vector of weight coefficients that is used for fusing multiple element concentration data at each inspection period of each unit, and s represents the number of selected element concentration data; di, j and Xi, j are the values of the extracted health index (HI) and the vector of the selected element concentration data for unit i in inspection period j; v0M01 = 1, where M 2 Rs 3 s is a diagonal matrix used for representing the degradation trend information, of which the diagonal element is 1 (–1) when the corresponding selected element concentration data have an increasing trend
Summary
Power-shift steering transmission (PSST) is one of the vital components that widely used in many heavy tracked vehicles. With PSST operating, metal wear debris spalling from each mechanical pair evenly mixed in lubricating oil and its concentration increase, which is a slow degradation process. Metal wear debris mixed in lubricating oil accelerates wear and tear of every mechanical components, leading to the degradation of the PSST system.[1,2] After a certain degree of degradation, the PSST system will fail to perform normal operations. The PSST system should be regularly monitored, and the system soft failure occurrence time should be accurately estimated to perform predictive maintenance (PM). To address this issue, lubricant condition monitoring
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