Tampere University of Technology

TUTCRIS Research Portal

Krishna Mishra

  1. 2019
  2. Published

    Profile extraction and deep autoencoder feature extraction for elevator fault detection

    Mishra, K., Krogerus, T. & Huhtala, K., 28 Jul 2019, 16th International Conference on Signal Processing and Multimedia Applications: SIGMAP 2019, 26-28 July, 2019, Prague, Czech Republic. Callegari, C. (ed.). 2019 ed. Prague, Czech Republic: SCITEPRESS, Vol. 16. p. 313-320 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Published

    Fault detection of elevator systems using deep autoencoder feature extraction

    Mishra, K., Krogerus, T. & Huhtala, K., 31 May 2019, IEEE 13th International Conference on Research Challenges in Information Science: RCIS 2019, 29-31 May 2019, Brussels, Belgium. Heng, S. (ed.). 2019 ed. Brussels, Belgium: IEEE, Vol. 13. p. 43-48 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. Published

    Deep autoencoder feature extraction for fault detection of elevator systems

    Mishra, K., Krogerus, T. & Huhtala, K., 24 Apr 2019, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN 2019, Bruges (Belgium), 24 - 26 April 2019. Verleysen, M. (ed.). 2019 ed. Bruges (Belgium): i6doc.com publication, Vol. 27. p. 191-196 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. 2018
  6. Published

    Fault detection of elevator systems using automated feature extraction and classification

    Mishra, K., Krogerus, T. & Huhtala, K., 21 May 2018, Elevator Technology 22, Proceedings of Elevcon 2018, 22nd International Congress on Vertical Transportation Technologies: 22-24 May 2018, Berlin, Germany.. 2018 ed. Berlin: The International Association of Elevator Engineers, Vol. 22. p. 116-122 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

ID: 9470850