The Complex Probability Paradigm and Analytic Linear Prognostic for Vehicle Suspension Systems
Abdo Abou Jaoude
DOI : 10.3844/ajeassp.2015.147.175
American Journal of Engineering and Applied Sciences
Volume 8, Issue 1
The Andrey N. Kolmogorov's system of axioms can be extended to encompass the imaginary set of numbers and this by adding to his original five axioms an additional three axioms. Hence, any experiment can thus be executed in what is now the complex set C which is the sum of the real set R with its corresponding real probability and the imaginary set M with its corresponding imaginary probability. The objective here is to evaluate the complex probabilities by considering supplementary new imaginary dimensions to the event occurring in the "real" laboratory. Whatever the probability distribution of the input random variable in R is, the corresponding probability in the whole set C is always one, so the outcome of the random experiment in C can be predicted totally. The result indicates that chance and luck in R is replaced now by total determinism in C. This is the consequence of the fact that the probability in C is got by subtracting the chaotic factor from the degree of our knowledge of the system. This novel complex probability paradigm will be applied to the concepts of degradation and the remaining useful lifetime of a vehicle suspension system, thus to the field of prognostic.
© 2015 Abdo Abou Jaoude. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.