[Failure Prediction of Power-Shift Steering Transmission Based on Oil Spectral Analysis with Wiener Process].

The most common methodology used in element concentration measurement and analyzing of wear particles is Atomic emission (AE) spectroscopy. As an indirect measuring method, the oil spectral data is introduced to indicate the performance degradation and the residual life prediction in the reliability evaluation of Power shift steering transmission (PSST). Stochastic methods especially the Wiener process is convenient in solving and analyzing the unitary degradation failure indicated by the oil spectral data.

Research and Evaluation on Wear in Power-Shift Steering Transmission Through Oil Spectral Analysis with RKPCA Method.

The most common methodology used in element concentration measurement and analyzing of wear particles is Atomic emission (AE) spectroscopy. The present paper presents an evaluation method on wear in power-shift steering transmission (PSST). By removing the problematic components which were highly correlated with oil additives, the robust kernel principal component analysis (RKPCA) method and the principal component analysis (PCA) method were accessed to extract the principal components of spectral data for oil samples collected from the life-cycle test of PSST in different stage and to calculate the amount of each principal component and its contribution rate respectively.

[The principle of temperature measurement of a non-diffuse emitter].

In order to measure the temperature of the object in the case of non-diffuse emission within a finite solid angle, a new concept for radiation thermometry, the apparent emissivity, has been presented firstly after a proper mathematical transformation of the radiation measurement equation and its characteristics have also been investigated. The results indicated that although the apparent emissivity is complex in form, it is only the function of the wavelength for one measurement even if the object is non-diffuse. So the temperature of the object in the case of non-diffuse emission within a finite solid angle can be solved by modeling the apparent emissivity.

[Health state evaluation of power-shift steering transmission using PCA-AHP methodology based on spectrometric oil analysis].

Spectrometric oil analysis is an important method to study the running state of power-shift steering transmission (PSST). An evaluation model of PSST health state was developed on the basis of the theories of principal component analysis (PCA) and analytic hierarchy process (AHP) using spectrometric oil analysis data. Considering the concept of mechanical equipment and wear elements in spectrometric oil analysis data, the health value was employed to quantitatively describe the running state degree of PSST, and the grades of health state were classified based on the health values.

[Improved euler algorithm for trend forecast model and its application to oil spectrum analysis].

The oil atomic spectrometric analysis technology is one of the most important methods for fault diagnosis and state monitoring of large machine equipment. The gray method is preponderant in the trend forecast at the same time. With the use of oil atomic spectrometric analysis result and combining the gray forecast theory, the present paper established a gray forecast model of the Fe/Cu concentration trend in the power-shift steering transmission.

[Test research on state monitor of PSST by oil spectrometric analysis].

Through the hydraulic lubrication oil spectrometric analysis, we monitored the state of the power-shift steering transmission (PSST) equipped on the track armored vehicle for a long time. Combined with the friction material analysis inside the PSST, based on the concentration analysis of the wear and tear particle inside the oil, the authors estimated the wear and tear state of the PSST and judged if the PSST had the fault hidden trouble. So we can avoid the serious fault, provide the academic and actual basis for RCM and enhance the dependability for the track armored vehicle.