Publications

Lampreia, S. Vairinhos, V., Dias, J. and Requeijo, J. (2013), “Vibrations detection and analysis in Equipments with MCUSUM charts and frequencies graphs””, 4th International Conference on Integrity, Reliability and Failure (IRF 2013), 23-27 June, Funchal, Madeira, Portugal

The condition monitoring of systems can be the choice to be applied on maritime selected equipment’s, chosen by its characteristics and industrial importance. Several statistical methods have been developed and applied in order to improve the performance of equipment´s (Dias et al, 2007). In this paper we propose the application of Statistical Process Control (SPC), in order to know the state of an equipment that had work like a prototype, an electric pump (Fig. 1). This prototype is the early work for future maritime applications. In previous studies, (Gan, 1991) (Dias et al, 2009) (Requeijo et al, 2012), has been shown that the univariate control charts are applicable to equipment as well as the traditional multivariate control charts and for Short Run charts. We can see an example in Fig.2: The control charts that we propose to be applied are the MCUSUM using multivariate data that inherently uses historical data to determine the reliability of equipment. Before its application the Normality and Independence should be checked (Pereira and Requeijo, 2012). With the implementation of these charts, it is expected to be possible the early detection of anomalies. Since the control charts will allow only the fault detection, its diagnosis is now a matter, for it will be used a graphical representation of frequency in order to velocity. When this methods are applied in maritime equipment’s, carefully must be taken, because of the external environment influences, machines and meteorological state. Note that, the data used were collected in overall vibration values (RMS-root mean square) in units of velocity (mm/s). With the proposed methodology will be possible to know the Online status of equipment when necessary and when requested, resulting in a reduction in maintenance costs and availability increase.

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