Support making decision using Hotelling T2 technique in an undersea natural gas storage plant

A method to support making decision in a undersea natural gas storage plant using Hotelling T² is showed in this paper. The stationery work in this manufacture facilities during a few moths in a year involve a heavy duty service of gas diesel engines and ammonia gas plant for processing the methane gas and extract the condensate fluid of it. Then, a predictive maintenance plan is necessary to prevent a possible malfunction or shut down of the plant and avoid an operational cost increased. We are just sampling the signals from the plant when it´s working in optimal condition and then we will compare the next incoming data from the machinery versus the previous historical data set. An statistical process control algorithm Hotelling T² based for monitoring the condition of gas engines and ammonia gas plant will be implemented.