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Physics-informed self-supervised diagnosis of rotating machinery using latent ODEs and transformer encoders. [PDF]
PLoS OneAmin MA +4 more
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Improved one-dimensional residual network high-voltage DC diagnosis for high-precision fault identification. [PDF]
PLoS OneLi R, Zhang X, Hao W, Wang T.
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Fault Classification Oriented Spectrum Based Fault Localization
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017The commonly-used software fault localization approaches mainly utilize test coverage information and test cases execution results to calculate the suspiciousness of each program entity to identify the location of faults, namely spectrum based software fault localization (SBFL).
Xiujing Liu +3 more
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Fault classification using SVM
2015 IEEE International Circuits and Systems Symposium (ICSyS), 2015Analog circuits are abundantly used in today's world. Unexpected failures might result in grave repercussions which is why their fault diagnosis is of utmost importance. We put forward an innovative fault classifier technique using Support Vector Machines (SVM) to identify whether the circuit is functioning properly and to identify the fault.
Mani Swetha Mandava +2 more
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Hierarchical Classification for Unknown Faults
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020Data-driven prognostics and health management (PHM) models are generally trained on a set of data collected from the system under study. A standard assumption of this paradigm is that the training data contains all the normal operating conditions and fault conditions that are possible.
Stephen Adams +4 more
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