Lift Industry News
Winter 2023 | Q1 Issue 3
The Logistics Equation and Fractal Dimension in Escalator Operations
By Dr Ali Albadri
Abstract
The logistics equation has never been used or studied in scientific fields outside the field of ecology. It has never been used to understand the behavior of a dynamic system of mechanical machines, like an escalator. We have studied the compatibility of the logistic map against real measurements from an escalator. This study has proven that there is a good compatibility between the logistics equation and the experimental measurements. It has discovered a potential of a relationship between the fractal dimension and the non-linearity parameter, R, in the logistics equation. The fractal dimension increases as the R parameter (nonlinear parameter) increases. It implies, that the fractal dimension increases as the phase of life span of the machine moves from the steady/ stable phase to, double periodic phase to a chaotic phase.
The fractal dimension and the parameter R, can be used as a tool to verify and check the health of machines. We have come up with a theory that there are three areas of behaviors, which they can be classified during the life span of a machine, a steady/stable stage, double periodic stage, and chaotic stage. The level of attention to the machine differs depending on the stage that the machine is in. The rate of faults in a machine increases as the machine moves through these three stages. At the double period and the chaotic stages, the number of faults start to increase and become less predictable. The rate of predictability improves as our monitoring to the changes in the fractal dimension and the parameter R improve.
The principles and foundations of our theory in this work has and will have profound impact on design of systems, and on way of operation of systems, and on maintenance schedules of the systems. The systems, can be mechanical, or electrical or electronics. The discussed methodology in this paper, will give businesses the chance to be more careful at the design stage, and planning for maintenance to control costs. The findings in this paper can be implied and used to correlate the three stages of a mechanical system to more in-depth mechanical parameters like wear and fatigue life.