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Application of multidimensional statistical model for evaluation of measured data obtained from testing of the hcci engine prototype

Puškár M., Fabian M., Tomko T.

Diagnostyka

2018

Vol. 19, No. 1

19--24

Evaluation of the measured data, which are obtained from testing of the HCCI engine prototype, is a complex process taking into consideration questions of the vibration diagnostics. The complexity of this procedure is caused due to a necessity to evaluate a large amount of the various data. One of the solution possibilities is application of a multidimensional statistical model within the evaluation process in order to obtain more accurate information about the actual operational condition concerning the analysed engine.

Procedure for the evaluation of measured data in terms of vibration diagnostics by application of a multidimensional statistical model

Tomko T., Puskar M., Fabian M., Boslai R.

Zeszyty Naukowe. Transport / Politechnika Śląska

2016

z. 91

125--131

The evaluation process of measured data in terms of vibration diagnosis is problematic for timeline constructors. The complexity of such an evaluation is compounded by the fact that it is a process involving a large amount of disparate measurement data. One of the most effective analytical approaches when dealing with large amounts of data is to engage in a process using multidimensional statistical methods, which can provide a picture of the current status of the flexibility of the machinery. The more methods that are used, the more precise the statistical analysis of measurement data, making it possible to obtain a better picture of the current condition of the machinery.