Fredrik Wartenberg, Author at Viking Analytics

Science Behind Industry 4.0: The Origins of Bayesian Statistics

Bayesian methods have become widely used in machine learning and pattern recognition. Talking simplistically, traditional – or ‘frequentist’, statistics see probability as the limit of relative frequencies of events as the number of trials increases, assuming a fixed set of distribution parameters. Bayesian statistics, on the other hand, is more concerned with adapting a model’s


Using Machine Learning to identify operational modes in rotating equipment

Vibration monitoring is key to performing condition monitoring-based maintenance in rotating equipment such as engines, compressors, turbines, pumps, generators, blowers, and gearboxes. However, periodic route-based vibration monitoring programs are not enough to prevent breakdowns, as they normally offer a narrower view of the machines’ conditions. Adding Machine Learning algorithms to this process makes it scalable,