Process of self-ignition engine loads and its properies

The paper presents a probabilistic interpretation of self-ignition combustion engine load, with regards to known parameters (rates) of engine operation. It has been shown that load of engines of this kind, considered in any moment, can be regarded as a multi-dimensional random variable. Changes of engine load in time of operation are considered herein as a process of loads and presented in a form of multidimensional stochastic process, of which states are loads as random variables. The process of loads can be regarded as a stochastic process with gains asymptotically independent, being stationary and ergodic. The researches on self-ignition engine loads should consider the stochastic dependence between thermal and mechanical loads. Load considered in arbitrary moment of work of each engine has been accepted as a random variable. Loads considered in successive moments make the process of loads.. The moments, however, are not random variables, but parameters of the process. Apart from the hypothesis specified above also other ones have been formulated. For verification of the hypotheses there have been proposed: the method of non-deductive (inductive) inference, called reductive inference and the method of deductive inference, called the „modus tollens” rule. The proposed approach to analysis of self-ignition engine loads is essential because the loads are ones of the most significant causes of surface (linear) as well as volume wear of the engines, what in consequence leads to engine failures. The engine failures happening during operation are random events. The failures considered in successive moments of their occurrence make the process of failures, which is a random process.