Essays about: "Machine Learning Methods for Condition Monitoring, Fault Detection and Diagnosis"
Found 2 essays containing the words Machine Learning Methods for Condition Monitoring, Fault Detection and Diagnosis.
1. Bearing Diagnosis Using Fault Signal Enhancing Teqniques and Data-driven ClassificationUniversity essay from Linköpings universitet/Fordonssystem
Abstract : Rolling element bearings are a vital part in many rotating machinery, including vehicles. A defective bearing can be a symptom of other problems in the machinery and is due to a high failure rate. Early detection of bearing defects can therefore help to prevent malfunction which ultimately could lead to a total collapse. READ MORE
2. Mining Unexpeced Behaviour from Equipment MeasurementsUniversity essay from Uppsala universitet/Institutionen för informationsteknologi
Abstract : Modern physical systems tend to have a high level of complexity that hinders the efficiency of human-based condition monitoring. Automatic and intelligent strategies, on the contrary, easily outperform the human expertise in terms of speed, accuracy and scalability. READ MORE