Article, Early Access, 2022

Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, ISSN 0951-192X, 10.1080/0951192X.2022.2128218

Contributors

Ronsch, G. O. 0000-0001-5776-4317 (Corresponding author) [1] Lopez-Espejo [2] Michelsanti, D. 0000-0002-3575-1600 [2] Xie, Y. [2] Nguyen, Lam 0000-0003-0161-3055 [2] Tan, Zheng-Hua 0000-0001-6856-8928 [2]

Affiliations

  1. [1] Tech Univ Denmark, Dept Stat & Data Anal, Lyngby, Denmark
    2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark
    3. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

Acoustic signal processing, Industry 4, autoencoder, injection moulding, machine learning, predictive maintenance

Data Provider: Clarivate

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