Device specific power consumption information leads to a high potential for energy savings. Smart meters are currently deployed in several countries, but they are only able to track the overall consumption in domestic and commercial buildings. One promising option to gain device specific information is called Nonintrusive Load Monitoring (NILM), which can be of great use in combination with sma...

The high-speed wire electrical discharge machining (WEDM-HS) machine has been more and more favoured by customers for the low manufacturing cost, the degree of automation and the advantages over the WEDM-LS in price performance ratio. However, the processing quality (the precision of form and position and the surface quality) of WEDM-HS is poorer than that of WEDM-LS, and the processing quality...

We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a non-invasive measure of the brain’s electrical activity. This problem is challenging because the brain’s electrical activity is composed of numerous classes with overlapping characteristics. The key steps involved in ...

A new approach to short-term electrical load forecasting is investigated in this paper. As electrical load data are highly non-linear in nature, in the proposed approach, we first separate out the linear and the non-linear parts, and then forecast using the non-linear part only. Semi-parametric spectral estimation method is used to decompose a load data signal into a harmonic linear signal mode...

Electrical discharge machining (EDM) is well established machining technique mainly used to machine complex geometries on difficult-to-machine materials and high strength temperature resistant alloys. In the present research, the objective is to study the shape of the electrode and establish the application of liquid nitrogen in reducing distortion of the electrode during electrical discharge m...

This article shows the experiences carried out in the context of human/robot communication, on the basis of brain bio-electrical signals, with the application of the Brain-Machine Interface from NIA. There are available technologies and interfaces which have facilitated the reading of the user’s brain bio-electrical signals and their association to explicit commands that have allowed the contro...

Nowadays in industry there many processes where human intervention is replaced by electrical machines, especially induction machines due to his robustness and performance. Although, induction machines are a high reliable device, they are also susceptible to faults. Therefore, the study of induction machine state is essential to reduce human and financial costs. It is presented in this paper an ...

Concept 2 indoor rowing machine (Concept 2 Inc., USA), an exercise and training machine for able-bodied population, was modified for total body exercise in paraplegia. A new seating system provides trunk stability and constrains the leg motion to the sagittal plane. A 4-channel electrical stimulator activates the quadriceps and hamstrings in drive and recovery phases of rowing cycle. Force sens...

One of the fundamental questions in service robotics is how we can get those machines to work efficiently in the same environment with and under the command of the average user. The answer – not an easy one – is in the development of human-robot interfaces (HRI), which should be able to transmit the will of the user to the robot in a simple but effective way preferably using means that are natu...

Electrical discharge machining (EDM) is well established machining technique mainly used to machine complex geometries on difficult-to-machine materials and high strength temperature resistant alloys. In the present research, the objective is to study the shape of the electrode and establish the application of liquid nitrogen in reducing distortion of the electrode during electrical discharge m...