Assessment of Off-Line Diagnostic Oil Data with Using Selected Mathematical Tools

The paper deals with assessment of oil filed data from heavy off-road vehicle. The oil sample is collected off-line and processed consequently in a tribolaboratory. We call the outcomes from tribolaboratory as oil field data. Firstly we apply selected regression functions for description of the most interesting oil particles generation. It is the vehicle engine and its metal – ferrum, lead or cooper – oil data which are explored for further utilisation. We apply and present methods of multi-variate regression analysis to model the metal – Fe and Pb – data and provide outcomes + estimations for system operation so far and also proposals for system further operation. The novelty is to providing inputs for soft failure identification, to helping to change the life cycle costing, to change the system of maintenance policy, system operation and mission planning.

[1]  David VALIŠ,et al.  On ApprOAches fOr nOn-direct determinAtiOn Of system deteriOrAtiOn , 2011 .

[2]  Adam Glowacz,et al.  Diagnostics of Induction Motor Based on Analysis of Acoustic Signals with the Application of Eigenvector Method and K-Nearest Neighbor Classifier , 2012 .

[3]  ASSESSMENT MODEL APPLICATION OF WATER SUPPLY SYSTEM MANAGEMENT IN CRISIS , 2014 .

[4]  D. Mazurkiewicz,et al.  przenośnika taśmowego tests of extendaBility and strength of adhesive-sealed joints in the context of developing a computer system for monitoring the condition of Belt joints during conveyor operation , 2010 .

[5]  Soumaya Yacout,et al.  Evaluating the Reliability Function and the Mean Residual Life for Equipment With Unobservable States , 2010, IEEE Transactions on Reliability.

[6]  Rong Li,et al.  The research on failure analysis of fluid cylinder and fatigue life prediction , 2014 .

[7]  Tommy W. S. Chow,et al.  A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives , 2014, IEEE Transactions on Industrial Informatics.

[8]  Adam Glowacz,et al.  Diagnostics of DC Machine Based on Analysis of Acoustic Signals with Application of MFCC and Classifier Based on Words , 2012 .

[9]  Adam Glowacz,et al.  Diagnostics of direct current machine based on analysis of acoustic signals with the use of symlet wavelet transform and modified classifier based on words , 2014 .

[10]  Bożena Babiarz.  An introduction to the assessment of reliability of the heat supply systems , 2006 .

[11]  Guanghua Xu,et al.  A mixture Weibull proportional hazard model for mechanical system failure prediction utilising lifetime and monitoring data , 2014 .

[12]  Dariusz Mazurkiewicz,et al.  A Knowledge Base of the Functional Properties of the Conveyor Belt Adhesive Joint for FEM Simulation of Its Stress and Strain State , 2012 .

[13]  Qiang Zhou,et al.  Remaining useful life prediction of individual units subject to hard failure , 2014 .

[14]  Noureddine Zerhouni,et al.  Remaining Useful Life Estimation of Critical Components With Application to Bearings , 2012, IEEE Transactions on Reliability.

[15]  Dariusz MAzurkiewicz.  Computer-aided maintenance and reliability management systems for conveyor belts , 2014 .