2012 · 19 citations · 9 references
EngineeringMining EngineeringBuilding DiagnosticsSpectroscopyTime Series AnalysisCondition MonitoringDiagnosisDiagnosticsFault DetectionVibration DiagnosticsVibration MonitoringBearing Condition MonitoringBearing FailureBearing Failure AnalysisBearing Fault DiagnosisBearing FaultsFrequency Spectrum AnalysisResonanceStatistical Fault Diagnosis
Efficient detection of bearing failure is one of the most investigated engineering issues in several industries. The proposed method, based on High Frequency Resonance Technique (HFRT) allows detecting precise location of bearing's failure. The location of resonance area is computed by screening the signal's frequency spectrum. Some statistical features are adopted to get a preliminary inspection of the raw signal. This method is validated with Seeded Fault Test Data provided by Case Western Reserve University Bearing Data Center.
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Robert B. Randall, H. Endo · Mechanical Systems and Signal Processing · 2007 · 593 citations
Engineering, Mechanical Engineering, Computational Mechanics +15