Hitoshi Kaneko

Some Considerations and Results of Specialized Pattern Cluster Analysis with FUNDOS (PPCLUSTF) for Marine Engine Field Data

This paper describes the Totalization and Systematization of the following analyses on the marine engine field data (1400 samples) . They are Principal Component (PCA), Normal Probability Scale (NPS), Fundermental Original Statistiscs (FUNDOS) for Specialized Pattern Cluster Analysis (PPCLUST) .Having only an objective variable of Man-Hour per occurrence mhi, the five vector spaces of factor scores U with all the scores of the input variables Xi by PCA are represented by the several groups of factor score Uj which is corresponding to Zj; U1 by the group of input variables (X24, X34, X35) of hardware of ship and engine, U2 by (X1, X2, X3) of man-hour informations, U3 by (X6, X21, X32, X33) of software of engine plants system, U4 by (X4, X5, X7, X8) of major maintenance and U5 by (X18, X22, X25, X28) of hardware of engine plant system.An additional program FUNDOS is useful for beginner of this systematic program package due to the feasible fundermental statistics of original data.

Some Considerations and Evaluations of Reliability and Maintainability due to Marine Engine Load

It occurred to the shipping world that the oilshock pressed the derating of marine engine load in 1974 worldwidely.This paper describes whether there is such a same derating effect upon the marine engine load as electronics power derating can make contribute to the higher reliability and maintainability evaluation or not.From the total value 8250 occurrences of marine engine failure reports submitted by 33 diesel ships and 10 turbine ones during 80×104 propelling hours of two surveyed periods which are both the separate two years of 1972, 1973 and 1977, 1978, there are obtained the linear regression equation X=a+bL between three kinds of evaluation indices X (λ; occurring rate, MI; manning index, mh; man-hour per occurrence) and marine engine load L.According to the coefficient b (=∂X/∂L) of regression equation, the three following derating effect patterns are ascertained for three classifications of ships and the four types of main engine licensers;(1) Derating Pattern A (b>0; positive correlation) ; Diesel container ship and C type of main engine license: the less load of their main engines make contribute to the less occurring rate, the less manning index and the larger man-hour per occurrence.(2) Derating Pattern B (b 0/L>Lu, b<0/L