Quickest change detection via statistical electrical signature analysis for motor diagnosis
Authors:
- Lenny RéthoréLRLenny Réthoré
- Pierre GranjonPGPierre Granjon
- John J. Martinez M.JMJohn J. Martinez M.
- Frédérique RoffetFRFrédérique Roffet
Open Access
- 9 September 2026
- journal article
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 260
Abstract
No abstract availableFunding Information
- Schneider Electric
- Association Nationale de la Recherche et de la Technologie
This publication has 46 references indexed in Scilit:
- A CUSUM control chart for gamma distribution with guaranteed performanceQuality and Reliability Engineering International, 2023
- Detection of half broken rotor bar fault in VFD driven induction motor drive using motor square current MUSIC analysisMechanical Systems and Signal Processing, 2018
- Simulation-driven machine learning: Bearing fault classificationMechanical Systems and Signal Processing, 2018
- Three-phase electrical signals analysis for mechanical faults monitoring in rotating machine systemsMechanical Systems and Signal Processing, 2017
- Misalignment detection in induction motors with flexible coupling by means of estimated torque analysis and MCSAMechanical Systems and Signal Processing, 2016
- A review on empirical mode decomposition in fault diagnosis of rotating machineryMechanical Systems and Signal Processing, 2013
- A review on electrical motors energy use and energy savingsRenewable and Sustainable Energy Reviews, 2010
- Induction machine condition monitoring using notch-filtered motor currentMechanical Systems and Signal Processing, 2009
- A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearingMechanical Systems and Signal Processing, 2005
- Fault diagnosis of rolling element bearings using basis pursuitMechanical Systems and Signal Processing, 2005