I am a DSP and data scientist working with solutions to vibration and ultra sound diagnostic using data modelling, machine learning and deep learning. I have been in this industry for a couple of years and it is hard to identify the feelings of the users of our application. Sometimes they seem very suspicious about what the software is saying, other times they feel pretty happy about the results.
I'm worried about it because as I don´t have direct contact with the plants engineers, so that my only source of feedback is what the project manager says. And the PM is also a computer scientist. So, there is some kind of pressure to implement the automation in the plants.
So, this questions if for reliability engeneers around:
- Have you ever had contact with AI solution (or other data-driven approach) for asset maintenence?
- From your experience, what are positive and negative points?
- How do you feel about it? Do you trust it? Do you think it is very imature? Do you think there is no way to reflect engeneer's experience in the models?
- Do you have any suggestions or doubts I can help with?
Thank you very much, people. Any detail, please contact me on: