Evaluation of the technical condition of road transport means

The paper presents the methodology for determining the procedures of the condition and fault location test, using logical relations (0,1) between diagnostic parameters and technical conditions of the means of transport in the form of a binary observation matrix, determination of the status control and fault location test and use of diagnostic information received during use of means of transport. Implementation of the proposals included in the study should increase the efficiency of diagnosing means of transport, and thus contribute to activities that rationalize their exploitation.


Introduction
Physical processes occurring in systems and sets of means of transport have a significant impact on the change of their state and are related to their use and handling. These processes are the source of emission of diagnostic signals, the analysis of which allows to generate information on the technical condition of means of transport.
The automation of the system of monitoring the condition of means of transport, in which it stands out, the assessment of their technical condition requires, among other things, the determination of the condition and fault location test, while the problems associated with it come down to determining the relationship between diagnostic parameters and technical conditions of the means of transport, determining the test the condition and location of damage and the use of diagnostic information received during the use and operation of means of transport.
The term "best" used above means the adoption of appropriate criteria and consideration of these problems in terms of seeking an optimal solution to the above problems. This requires the development of a methodology and algorithm for determining the status and fault location test, and formulating assumptions for the implementation of the algorithm. Implementation of the proposals included in the study should increase the efficiency of diagnosing means of transport, and thus contribute to activities that rationalize their exploitation.

Characteristics of the problem
Determination of the technical condition of means of transport is connected with the examination of relations between diagnostic parameters -the condition of the means of transport. Based on the findings made in [1,2,4,8,9], it is believed that the use of appropriate procedures should take into account the appropriate level of decomposition (means of transport, arrangement of the means of transport, assembly of arrangements, element of the assembly) and the appropriate scope of the condition assessment (condition/state control , location of damage, condition control and location of damage to the means of transport). The complexity of transport systems as well as the complexity of processes occurring in them cause that the existing relationships between diagnostic parameters and states are usually stochastic relationships. These dependencies in the practice of diagnosing means of transport, according to the theory of technical diagnostics, depending on the degree of disturbance of diagnostic signals can be determined by a boolean observation matrix -with a small degree of disturbance of diagnostic parameter values or probability matrix with a high degree of disturbance of diagnostic parameters values. It is believed, however, that due to limitations resulting from the passive or passive experimental mode, it is sufficient to analyze the boolean matrix and determine the condition control and fault location test. In order to distinguish possible solutions for the construction of tests, the criterion of state discrimination and the procedure for building the test using the boolean matrix method should be used. As a result of this method, a TKS status control test and a TLU damage location test are obtained. In the first case, based on the binary matrix has a maximum number of ones in the column, is being chosen. In the case when the jth column does not contain only ones, the missing ones in the nth or nth+1 column are searched for. In the event of their occurrence, nth and nth + 1 parameters are included in the test TLU.
In order to determine the value of the binary elements of the observation matrix, the significance of changes in the values of diagnostic parameters should be performed {yj} depending on the elements of the set of states {si}. Among many possibilities [1,3,4,5,6] 2. Calculate the variance of the diagnostic parameter values: and is compared to the critical value of the distribution t (Students distribution): t= t(, No+Ni -2);= 0,05. when: t > t Ho hypothesis is rejected, t < t there is no reason to reject the hypothesis Ho.
Due to the incomparable measurement conditions, it can be expected that б o 2  б 2 i . This is a premise that in order to determine the significance of changes in diagnostic parameter of the state of transport u statistics should be used and the related application procedure. This means that as a result of this procedure, the values of the binary matrix are appropriately assumed: 1 -when the test of averages shows that the hypothesis about the equality of mean values of parameters is rejected {{yjl}(1)} and {{yjl}(k)} and 0 when the test of averages shows that there is no reason to reject the equality hypothesis average values of parameters {{yjl}(1)} and {{yjl}(k)}.

Investigation of the distance of confidence intervals of the mean value of the diagnostic parameter
Investigation of the distance of confidence intervals of the mean value of the diagnostic parameter for two states of the means of transport [1,3,5,7] is carried out using the distance test procedure for two sets of parameter values {{yjl(1)} and {{yjl(k). It is assumed that the population has a distribution N(m, ), with both mean value m and standard deviation  are unknown in the population. Moreover, assuming that a small sample was drawn randomly from the population (n  10), the confidence interval for the average population is obtained by dependence [7,9]: Correspondingly, the values of the binary matrix are assumed: 1 -when the test shows that the confidence intervals of the mean parameters values {{yjl}(1)} and {{yjl}(k)} they do not have common points (they are significantly dependent on the state si) and 0, when the distance test shows that the confidence intervals of the mean parameters {{yjl}(1)} and {{yjl}(k)} they have points in common (they are not significantly dependent on the state si).

The algorithm for determining the status and fault location test
The algorithm of the methodology for determining the diagnostic test of means of transport includes the following stages [8,9,

Implementation of the algorithm for determining the status and fault location test
The scope of the algorithm implementation was formulated on the basis of functional requirements related to the implementation of the methodology of optimization of a set of diagnostic parameters to assess the state of the machine and to determine the technical condition and fault location test. On the basis of the above scope of implementation, tasks formulated as components of the assessment process of means of transport were formulated. These are [9,10]: 1. Acquisition of measurement and simulation data: a) entering data by the end user; b) data transfer using the "copy and paste" mechanisms implemented in the Windows system; c) data import from other database systems or from text files; d) data edition; e) saving the entered data to the database; f) reduction of the set of diagnostic parameters.

Conclusions
To sum up the issues discussed above concerning the methodology of building diagnostic tests of means of transport, the following conclusions can be made: 1. All presented procedures for determining state and location control tests allow to determine optimal diagnostic tests due to the adopted criteria. 2. Due to the preference in the selection of diagnostic parameters of the similarity method and the method of testing the dependence of the diagnostic -state parameter, in order to build a binary diagnostic matrix in the field of logical relations (0, 1), the method of testing the confidence interval distance of the mean value of the diagnostic parameter should be selected.