ABSTRACT
In a ship, the operation of air conditioning system plays a prominent role in maintaining the operation of various electronic systems. Air conditioning system cooling water electropumps are rotating equipment that may be subject to degrading operating conditions. The electropump condition monitoring is a premise for maintaining the performance of air conditioning. For this, vibration measure is done on the electropumps. The objective of this paper was to define a statistic methodology to detect eventual anomaly in early stages. In phase I the collected data was analyzed and processed with Statistica and Matlab software. To obtain the functioning parameters, mean and standard deviation, the univariate Shewhart control charts: individual observation and moving range, were applied. In phase II, the monitoring phase, it was applied the Re-Modified CUSUM control chart. The application of statistic techniques can allow the knowledge of data tendency, and eventually define a future intervention.
