Application of fuzzy logic in lift energy efficiency classification

Abstract

The study outlines a new approach to lift energy efficiency classification based on a heuristic estimator using the energy performance parameters of a lift installation registered over its weekly duty cycle. Due to the fact that evaluations of the energy performance by commonly applied methods involve a number of variables and complex nonlinear dependencies, the expert model is developed using the fuzzy logic approach. The underlying objectives are defined alongside the energy performance and operating parameters of a lift installation during the ride and in the standby mode. The estimator is based on the operational equipment effectiveness for each mode of lift operation and membership functions (model input and output) are defined. The method was verified by measurements taken on a real object. This study summarises the measurement results and lift energy classification data obtained by the new method, the final results are presented in figures illustrating the energy efficiency variations in the running mode and as the average energy efficiency ratings on each day and over the whole week.

Application of Stray Magnetic Field for Monitoring the Wear Degree in Steel Components of the Lift Guide Rail System

“…In the case of applying automatic discretization based on the existing adaptive algorithms, the model area is found where the accuracy of results should be increased and the FEM software makes decisions regarding the selection of areas and how to thicken the grid without possible interference of an analyst [28]. The criterion for reaching the equilibrium (concurrence) [9] is the tolerance, which is expressed as a percentage. This is the reference to a difference between the magnetic induction values for which convergence is tested, which is obtained from the iterations occurring one by one.…”

“…In the ANSYS system, these are: Orthogonal Quality (OQ) and Skewness (SK). In the case of OQ, i.e., the geometrical regularity of an element, it is required for a parameter to approach 1, while in the case of SK, i.e., the skewness The criterion for reaching the equilibrium (concurrence) [9] is the tolerance, which is expressed as a percentage. This is the reference to a difference between the magnetic induction values for which convergence is tested, which is obtained from the iterations occurring one by one.…”

“…The authors endeavored to answer the question of whether there was a correlation between the technical condition of the selected lift components and the level of comfort while riding. In publication [9], the authors discussed the issue of energetic efficiency of personal lifts. They presented the discrepancies resulting from various standards of computations concerning the energetic effectiveness of such hoisting and hauling equipment, emerging mainly from the accepted variety of algorithms and subjective assumptions that should be used for making the computations.…”

Assessment of the technical condition of lift guides using a magnetic field

“…In the publication [9], the authors presented a new approach to the classification of energy efficiency of lifts based on a heuristic estimator, using the parameters of energy characteristics of the lift installation recorded during a weekly operation cycle as a diagnostic tool. Due to the fact that energy performance evaluation by the commonly used methods involves many variables and complex nonlinear relationships, an expert model was developed using a fuzzy logic approach.…”