AI, fuelled by machine learning from data, will undoubtedly accelerate engineering progress for the foreseeable future. At DSD, we continually look for opportunities to leverage new technologies, so have been exploring ways in which machine learning could shorten development cycles, reduce costs and improve product performance.
Machine learning offers us another step along the road towards replacing costly traditional development testing by simulation, but effective simulation depends upon verified data. By using data we may already have in new ways, we can accelerate the application of machine learning for real world solutions. In this, the second of a 3-part series, we describe how this approach was successfully used with gearbox vibration data.
Read the research review in full below: