Litcius/Paper detail

Kernel ridge regression-based chirplet transform for non-stationary signal analysis and its application in machine fault detection under varying speed conditions

Chuancang Ding, Ming Zhao, Jing Lin, Kaixuan Liang, Jinyang Jiao

2022Measurement20 citationsDOI

Topics & Concepts

AlgorithmPolynomialInstantaneous phaseTime–frequency analysisFault detection and isolationNoise (video)Kernel (algebra)Energy (signal processing)MathematicsCondition monitoringPolynomial regressionComputer scienceRegressionArtificial intelligenceEngineeringRadarStatisticsMathematical analysisCombinatoricsActuatorElectrical engineeringTelecommunicationsImage (mathematics)Machine Fault Diagnosis TechniquesStructural Health Monitoring TechniquesImage and Signal Denoising Methods
Kernel ridge regression-based chirplet transform for non-stationary signal analysis and its application in machine fault detection under varying speed conditions | Litcius