Some practical application of sequential analysis to the fault prediction system of a main diesel engine

A system based on the application of sequential analysis is presented for the fault prediction of a main diesel engine. Under normal working conditions the values of monitored parameters are represented by a stationary time series. Before an actual fault occurs, the system appears to be in an abnormal condition, which sometimes may be represented as a nonstationary time series. In order to determine whether the time series is stationary or nonstationary, the sequential probability ratio test is applied. A linear or nonlinear model in the trend analysis is used. Analysis of the working performance of cylinder units and troubleshooting of a fuel oil system are considered as examples.<
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