In situ monitoring of FDM machine condition via acoustic emission

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Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model (2017, methodology): “The proposed machine monitoring method based on AE sensing and HSMM diagnostics is a further improvement and extension of our previous work [39], where support vector machine was used for classification.”
Process–Structure–Properties in Polymer Additive Manufacturing via Material Extrusion: A Review (2020, methodology): “In another work, acoustic emission is used to monitor the material loading condition to check if there is any nozzle clogging issue.(77) In-situ monitoring of strain and temperature profile using fiber Bragg grating (FBG) sensors has allowed researchers to study and control the diffusion time of the”
Nozzle condition monitoring in 3D printing (2018, methodology): “[34] proposed in-situ monitoring of FFF machine condition via acoustic emission technique.”