Josef Glos

Identification of the Technical Condition of Roller Bearings by means of Vibrodiagnostics and Tribodiagnostics

This paper focuses on determining the technical condition of a bearing box in the vehicle by means of vibrodiagnostics. In the next step, we determined the technical condition of roller bearings in the bearing box by measuring the vibration signal. One of the possibilities of determining the technical condition, including the location of accelerometers, the arrangement of relevant measured devices, and the analysis of frequency spectrum, is described in the paper. The aim of the experiment was to measure vibrations of the bearings placed in the vehicle bearing box and then to carry out the analysis of the measured data. The second part of the paper presents the analysis of samples of the plastic lubricant used for lubricating the tested roller bearings. For the analysis, we used an AES Spectroil Q100 device which works on the principle of atomic spectral analysis.

Contribution to Mathematical Modelling of Oil Field Data

The paper deals with application of selected suitable analytical methods use to analyse field data from medium off-road military vehicles. Some pieces of information from oil are interpreted thank to diagnostics in form of polluting particles. Such particles represent processes in the engine like wear (e.g. Fe, Cu, Pb, etc.) and oil condition (like e.g. Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. Thank to good recording system we have data from field operation available. Therefore we decided to use selected analytical – algebraic methods for determining the specific particles generating trend. Based on the outcomes we hope to be able to determine the system condition (e.g. residual operation life, maintenance modifications in the intervals, etc.). Selected methods like regression analysis, base functions and fuzzy inference system will be used for the data assessment. The results itself might be beneficial in other forthcoming analysis like quality, risk and dependability management processes, e.g. for optimization during an operation and maintenance phase, logistics and spare parts planning, life cycle costing, mission planning, etc.

Diagnostics of gear fault in four-speed gearbox using vibration signal

Fault detection using a vibration signal is considered to be one of the most important methods applied to rotating parts. Most of the rotating machine faults can be detected by this technique before dangerous situations occur. Although the vibration signal is easy to be measured and recorded, its analysis is by no means simple. Moreover, when applying this technique to a real object in the field, e.g. to a gearbox used in a military vehicle including main and transfer gearboxes, the vibration signals are modulated a lot. There are too many factors affecting the vibration signal and too many components that can generate a vibration, therefore the vibration analysis is usually difficult.

Identifying Technical Condition of Vehicle Gearbox Using Acoustic Emission

The article examines the technical condition of rotating parts using acoustic diagnostics. The measured object was a mechanical transmission of a field vehicle. Recently this method has been developing very quickly and is expected to be used not only for the signal analysis itself, but also for the failure occurrence prediction which is our aim in the future. In our article we observe the technical condition of a four-speed transmission and analyse the acoustic signal expressed by the root mean square of a noise level in decibels.

On Approaches of Assessment of Tribo Data From Heavy Tracked Vehicle

The paper deals with application of selected analytical methods in order to analyse field data from heavy tracked off-road military vehicles. The information from the engine oil are interpreted in form of polluting particles like particles from wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. We have reasonable set of oil data from field operation available. Based on the data we assume being able to determine the system condition and propose some changes (e.g. in residual operation life, in maintenance modifications in the intervals, in mission planning, etc.). Selected methods like regression analysis and fuzzy inference system are used for the data assessment.