In this paper, a new model for estimating the remaining electrical life of the AC contactor is proposed. The model involves an equation that use the rated and operational parameters, material properties and geometries to estimate electrical health of contactor. The variation in the contact resistance as a function of time is found varying in accordance with the remaining electrical life of the contactor. This characteristic parameter along with the data regarding the quantity of material lost at the contact surface has been fed as the sample data for the machine learning model. The sample data is carefully chosen from the contactors operating at different environmental conditions and utilization categories to include wide range of data. Using the collected data from contactors operating in varied environments and utilization categories a Stochastic Gradient Descent Classifier model is generated and used to estimate the remaining electrical life.

The response of floating stone columns of different lengths to diameter ratio (L/D = 0, 2, 4, 6, 8, and 10) ratios exposed to earthquake excitations is well modeled in this paper. Such stone column behavior is essential in the case of lateral displacement under an earthquake through the soft clay soil. ABAQUS software was used to simulate the behavior of stone columns in soft clayey soil using an axisymmetric finite element model. The behavior of stone column material has been modeled with a Drucker-Prager model. The soft soil material was modeled by the Mohr-Coulomb failure criterion assuming an elastic-perfectly plastic behavior. The floating stone columns were subjected to the El Centro earthquake, which had a magnitude of 7.1 and a peak ground acceleration of 3.50 m/s2. The surface displacement, velocity, and acceleration in soft clayey enhanced by floating stone columns are also smaller than in natural soft clay. The findings of this research revealed that under the influence of earthquake waves, lateral displacement varies with stone columns of various lengths.