Dynamic Simulations for Lift Health Diagnosis

System simulations introduce new opportunities in lift health diagnosis, due to their quasi-real time computation and cross disciplines coverage. The approach is based on an object-oriented model, where controller, machinery, hoisting and building layout are interconnected for computing the lift dynamics for its entire ride. While most of the components impacting the dynamics of lifts are described by blocks with certain physical parameters, others are described more in detail, including local flexibility and eigenfrequencies expression. The created model is structured, modularized, and parametrized. Several simulation outputs can be used for diagnosis: car position, velocity and vibrations, guide shoes forces, machinery current and torque, however in this paper the focus is on using spectrums of car vibrations for this purpose. Healthy and several malfunction behaviors are computed and validated using system simulation, proving that this approach can be used for identifying the faults and providing solutions for mitigating them.