This paper presents an automated procedure to determine the electric or magnetic near-field profile of electronic systems and devices in a given plane. It combines sequential sampling to determine the optimal coordinates of near-field scan points at arbitrary coordinates in the scanning plane. The effectiveness of the approach is illustrated by applying it to both a simulated and a measured printed circuit board example.

In this paper, an efficient reciprocity-based algorithm is proposed to predict the worst case voltages and currents induced by external plane waves at the ports of a multiconductor transmission-line system. The proposed algorithm consists of two main steps. In the first step, the far-field radiation of the multiconductor transmission-line system is fully characterized by a minimal number of full-wave simulations. In the second step, this information is used to efficiently evaluate the voltages and currents induced by a plane wave with arbitrary angles of incidence and polarization. After this, their worst case values can be easily found. The main advantage of the proposed algorithm is that no new full-wave simulations are required if different incoming plane waves or different sets of terminations at the ports of the multiconductor transmission-line system are to be considered.

Capacitors are widely used in electronic systems and have a key function in EMC (electromagnetic compatibility) compliance. However, the ageing of capacitors results in an alteration of their parameters, which could pose a threat on the normal operation of systems as well as their EMC compliance. Normally, accelerated ageing is employed to shorten the experiment time. After the ageing, the capacitance and equivalent series resistance (ESR) are measured to evaluate the ageing process. In this paper, a new continuous characterization measurement set-up is implemented in which the accelerated ageing of the capacitors under test (CUTs) is continuously monitored during the overall accelerated ageing process. It significantly improves the continuity of the measurement and eliminates the errors attributed to the interrupting of the ageing process. This method is validated by comparing measurement results from the new measurement method with results of the conventional method. This was done by subjecting two types of film capacitors to thermal and electrical stress in order to evaluate the accelerated ageing effects. Furthermore, a conditional deep neural network with dropout technique is proposed to predict the accelerated ageing conditions of the capacitors. Instead of only forecasting the failure threshold, the proposed network is able to dynamically predict the accelerated ageing conditions at different elevated temperatures and voltages. This leads to a serious reduction of the total measurement time: from 1000h to 200h.

Bearing faults and eccentricity faults are significant contributors to induction motor performance degradation and failures. This article presents a multiphysics model for induction motors, integrating both the electromagnetic and mechanical systems to effectively characterise their behaviour in the presence of bearing faults and eccentricity faults. The proposed model incorporates the interactions between the two systems through the unbalanced magnetic pull, the electromagnetic torque, and the rotor motion. Bearing faults are represented as physical spalls with specific width and depth located on the bearing components. Eccentricity faults, on the other hand, are modelled as a non-uniformed distribution of air gap. Both the bearing fault models and the eccentricity fault models are integrated into the mechanical part of the multiphysics model. The model is validated by the comparison with the reference data from the motor manufacturer and the finite element method. Results show the proposed model achieves remarkable accuracy with moderate computational cost. The effects of fault severity, fault location, load torque, and external load on the unbalanced magnetic pull produced in induction motors and the rotor radial displacement are studied.