Fakulteta za strojništvo, Ljubljana (FSLJ)
  • Fault detection in slowly rotating large sized bearings [Elektronski vir]
    Žvokelj, Matej ...
    Bearings can be classified among the most frequently used machine elements in machine engineering. Owing to their multiple usage, the requirements which a bearing should meet are highly diverse. ... Bearing usage ranges from applicationsin which a bearing collapse does not constitute a major problem, to the applications in which a collapse of a bearing could lead to enormous economic damage and potential disastrous consequences for the people. Large-sized bearings used in rolling rotational connections are an example of such applications. The aim of monitoring bearings in these applications is to detect faults at an early stage, diagnose the fault and stop operation of the system before the consequences of the fault have grown to disastrous proportions. Faults in bearings are best detected by accelerometer based monitoring of vibrations. Special attention needs to be paid to high frequency vibration components which are generated in the bearing and indicate the occurrence of a fault. One of the key problems in monitoring bearings with low rotational speed is a weak level of high frequency components and, at the same time, a high level of low frequency components in measured signals. In order to be able to detect and monitor high frequency components in the signals generated by slowly rotating bearings, we need to have high quality measuring equipment. With a view to avoiding the mentioned disadvantages, we have attempted to use an alternative technique of monitoring the operation of bearings. To this aim, we have used strain gauges placed on the bearing housing and non-contact displacement sensors which measure microdisplacements below the bearing raceway. The signals obtained have been processed with the use of a number of signal processing techniques, namely the PCA method, wavelet transform and the Fourier analysis. This paper presents some interesting results of the analyses conducted.
    Vrsta gradiva - prispevek na konferenci
    Leto - 2006
    Jezik - angleški
    COBISS.SI-ID - 9481755