Research Article Open Access

The Complex Probability Paradigm and Analytic Linear Prognostic for Vehicle Suspension Systems

Abdo Abou Jaoude1
  • 1 Notre Dame University-Louaize, Lebanon


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.

American Journal of Engineering and Applied Sciences
Volume 8 No. 1, 2015, 147-175


Submitted On: 20 February 2015 Published On: 22 April 2015

How to Cite: Jaoude, A. A. (2015). The Complex Probability Paradigm and Analytic Linear Prognostic for Vehicle Suspension Systems. American Journal of Engineering and Applied Sciences, 8(1), 147-175.

  • 26 Citations



  • Extended Kolmogorov’s Axioms
  • Complex Set
  • Probability Norm
  • Degree of Our Knowledge
  • Chaotic Factor
  • Linear Damage
  • Degradation
  • Remaining Useful Lifetime
  • Prognostic