Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings
Karolina Kudelina, Tatjana Baraškova, Veroonika Shirokova, Toomas Vaimann, Anton Rassõlkin
Abstract
Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed. Therefore, maintenance questions and predicting the accuracy of an equipment’s condition have great importance. This study is based on the theory of vibration reliability. This article introduces the most common faults of bearings in electrical machines and discusses their diagnostic possibilities. Experimental setup, as well as studied bearing failures, are described. The accuracy of conducted experiments is introduced.
Topics & Concepts
Bearing (navigation)Reliability (semiconductor)VibrationFault (geology)Reliability engineeringDamagesComputer scienceRotation (mathematics)Roller bearingEngineeringMechanical engineeringArtificial intelligenceLubricationAcousticsGeologyQuantum mechanicsPolitical sciencePower (physics)SeismologyPhysicsLawMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability