Each year, latest state of the art technologies and algorithms arise that claim and prove to-shine their predecessors. One such algorithm is the Colour-based Retina Key-point (CREAK) descriptor, which is based on the FAST ...

For active magnetic bearings (AMBs) to be used with confidence in industrial applications, the safe failure of the AMB system should be guaranteed. The exact behaviour of the rotor on the backup bearings (BBs) is relatively ...

Active magnetic bearing (AMB) failure and the ensuing rotor behavior is a very important aspect of AMB safety. A model for this rotor behavior was developed and was used to characterize the severity of rotor delevitation ...

Progressive sulphation of the negative electrode in a lead-acid battery under high-rate operation remains a serious problem. This study investigates how healthier end-of-discharge conditions, in a valve-regulated lead-acid ...

This paper introduces an alternative method of reinforcement learning for intelligent agents. The aim with this method is to closer emulate the natural thought processes of problem solving. This paper only provides a ...

The thermal behaviour of permanent magnet synchronous machines (PMSMs) is important since overheating of the permanent magnets can lead to demagnetization. This article gives an overview of a hybrid thermal model for a ...

A linear model of a closed three-shaft Brayton cycle is developed. The model is intended to give an understanding of the dominant dynamic behavior in a nuclear power system that utilizes a closed three-shaft Brayton cycle. ...

A Proton Exchange Membrane (PEM) electrolyser is characterised and modelled to identify important electrochemical effects. These electrochemical effects include the ohmic, activation, and concentration losses within the ...

A method of identifying runout of an active magnetic bearing at standstill and low speed is presented. The on-line current bias injection method found in literature is improved, but is still found to converge too slowly ...

The need for fault detection and diagnosis (FDD) is becoming increasingly important for industrial processes as the complexity of processes increases. A state space model of a counter-flow heat exchanger is used study to ...