– It is a huge honor and an amazing opportunity. This was completely unexpected, says Sergio Martin Del Campo Barraza, PhD student at EISLAB and SKF-LTU UTC.
A statement confirmed by Fredrik Häggström, also a PhD at EISLAB SKF-LTU UTC:
– It means a lot; it is nice to see that someone appreciates the research I’m doing.
At the SKF-LTU University Technology Centre, they develop tomorrow's technology for monitoring machines with so-called smart bearings. A smart bearing can be described as a bearing unit with built-in sensors for condition monitoring, technology to self-generate the electrical energy required to operate the sensors and devices to wirelessly transfer data to other bearings and networks.
– Rolling element bearings are elements commonly found in machines. Their failure can cause an overall machine disruption. Therefore, it is important to monitor and maintain the condition of the bearings so the machines can operate efficiently, Sergio Martin Del Campo Barraza explains.
– My research is geared towards the automatically analysis of the signals generated by the bearings. This is challenging because each machine and environment is different, conditions change over time, and faults are always different. So, I am using unsupervised machine learning methods for the automated analysis of such signals and my research is on those methods.
Fredrik Häggström’s research is about finding new ways to power wireless sensors without batteries in rolling element bearings.
– Hopefully we can develop a technology that is so robust, that the energy harvester, the device which powers the wireless sensor, can outlive the mechanical parts of the bearing.
In what way will the grant help you in your future research?
– It gives me more freedom within my research. I might be able to visit research groups within my field or a conference, says Fredrik Häggström.
– I believe it can help me to perform some visits with leading researchers in my field so I can exchange ideas, learn from them and look for new ways in which I can expand the work done so far, says Sergio Martin Del Campo Barraza.
The UTC PhD students, Stephan Schnabel and Nicholas Dittes, Machine Elements, Sergio Martin Del Campo Barraza and Fredrik Häggström, EISLAB, got a fund of 50 000 SEK each from the Jacob Wallenbergs Foundation and the Royal Swedish Academy of Engineering Sciences.