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. 1. Bearing Diagnosis Using Fault Signal Enhancing Teqniques and Data-driven Classification

   University essay from Linköpings universitet/Fordonssystem

   Author : Benjamin Lembke; [2019]
   Keywords : Bearing diagnosis; rolling element bearings; predictive maintenance; signal processing; fault detection; gearbox diagnosis; support vector machine; svm; binary classification; one class classification; machine learning; feldetektion; diagnos; feldiagnos; växellåda; signalbehandling; maskininlärning;

   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

3. 2. Mining Unexpeced Behaviour from Equipment Measurements

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Paolo Pareti; [2010]
   Keywords : ;

   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