Essays about: "feldiagnos"
Found 5 essays containing the word feldiagnos.
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1. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE
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2. Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Axlebox bearings are one of the most critical components of a rail vehicle with regard to safety. An axlebox bearing that breaks during operation can be dangerous for the passengers and expensive for the operator. In-service failure of axlebox bearings has been the cause of many catastrophic accidents. READ MORE
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3. Condition monitoring of induction machines using a signal injection technique
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Condition monitoring techniques can be employed to enhance reliability of electric machinery. The stator winding fault is one of the dominant causes for the failure of induction machines. In this work, the condition monitoring of an inverter-fed induction machine using high-frequency signal injection based technique is investigated. READ MORE
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4. Bearing Diagnosis Using Fault Signal Enhancing Teqniques and Data-driven Classification
University essay from Linköpings universitet/FordonssystemAbstract : 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
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5. Log Analysis for Failure Diagnosis and Workload Prediction in Cloud Computing
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The size and complexity of cloud computing systems makes runtime errors inevitable. These errors could be caused by the system having insufficient resources or an unexpected failure in the system. READ MORE