The following publications are possibly variants of this publication:
- Incipient offset current sensor fault detection and diagnosis using statistical analysis and the Kullback Leibler divergence for AC driveD. Diallo, C. Delpha. iecon 2017: 8070-8075 [doi]
- Non-destructive incipient damage detection using Kullback-Leibler divergenceJinane Harmouche, Claude Delpha, Yann Le Bihan, Demba Diallo. visalg 2015: 849-854 [doi]
- Enhancement of incipient fault detection and estimation using the multivariate Kullback-Leibler DivergenceAbdulrahman Youssef, Claude Delpha, Demba Diallo. eusipco 2016: 1408-1412 [doi]
- A theoretical approach for incipient fault severity assessment using the Kullback-Leibler DivergenceJinane Harmouche, Claude Delpha, Demba Diallo. eusipco 2013: 1-5 [doi]
- Capability evaluation of incipient fault detection in noisy environment: A theoretical Kullback-Leibler Divergence-based approach for diagnosisA. Youssef, Jinane Harmouche, Claude Delpha, Demba Diallo. iecon 2013: 7364-7369 [doi]
- Incipient fault detection and diagnosis based on Kullback-Leibler divergence using Principal Component Analysis: Part IJinane Harmouche, Claude Delpha, Demba Diallo. sigpro, 94:278-287, 2014. [doi]
- Incipient fault detection and diagnosis based on Kullback-Leibler divergence using principal component analysis: Part IIJinane Harmouche, Claude Delpha, Demba Diallo. sigpro, 109:334-344, 2015. [doi]
- Nondestructive Incipient Crack Detection based on Wavelet and Jensen-Shannon Divergence in the NICA frameworkXiaoxia Zhang, Claude Delpha, Demba Diallo. iecon 2019: 3685-3690 [doi]