Condition monitoring through mining fault frequency from machine vibration data

Md Mamunur Rashid, Iqbal Gondal, Joarder Kamruzzaman

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

    1 Citation (Scopus)
    Original languageEnglish
    Title of host publication2015 International Joint Conference on Neural Networks (IJCNN 2015)
    EditorsYoonsuck Choe
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages2012 - 2019
    Number of pages8
    ISBN (Print)9781479919611
    DOIs
    Publication statusPublished - 2015
    EventInternational Conference on Neural Networks - Killarney Ireland, Piscataway NJ USA
    Duration: 1 Jan 2015 → …

    Conference

    ConferenceInternational Conference on Neural Networks
    CityPiscataway NJ USA
    Period1/01/15 → …

    Cite this

    Rashid, M. M., Gondal, I., & Kamruzzaman, J. (2015). Condition monitoring through mining fault frequency from machine vibration data. In Y. Choe (Ed.), 2015 International Joint Conference on Neural Networks (IJCNN 2015) (pp. 2012 - 2019). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IJCNN.2015.7280569
    Rashid, Md Mamunur ; Gondal, Iqbal ; Kamruzzaman, Joarder. / Condition monitoring through mining fault frequency from machine vibration data. 2015 International Joint Conference on Neural Networks (IJCNN 2015). editor / Yoonsuck Choe. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 2012 - 2019
    @inproceedings{dc38abc31a454828a58e4ed29346efaa,
    title = "Condition monitoring through mining fault frequency from machine vibration data",
    author = "Rashid, {Md Mamunur} and Iqbal Gondal and Joarder Kamruzzaman",
    year = "2015",
    doi = "10.1109/IJCNN.2015.7280569",
    language = "English",
    isbn = "9781479919611",
    pages = "2012 -- 2019",
    editor = "Yoonsuck Choe",
    booktitle = "2015 International Joint Conference on Neural Networks (IJCNN 2015)",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States of America",

    }

    Rashid, MM, Gondal, I & Kamruzzaman, J 2015, Condition monitoring through mining fault frequency from machine vibration data. in Y Choe (ed.), 2015 International Joint Conference on Neural Networks (IJCNN 2015). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2012 - 2019, International Conference on Neural Networks, Piscataway NJ USA, 1/01/15. https://doi.org/10.1109/IJCNN.2015.7280569

    Condition monitoring through mining fault frequency from machine vibration data. / Rashid, Md Mamunur; Gondal, Iqbal; Kamruzzaman, Joarder.

    2015 International Joint Conference on Neural Networks (IJCNN 2015). ed. / Yoonsuck Choe. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 2012 - 2019.

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

    TY - GEN

    T1 - Condition monitoring through mining fault frequency from machine vibration data

    AU - Rashid, Md Mamunur

    AU - Gondal, Iqbal

    AU - Kamruzzaman, Joarder

    PY - 2015

    Y1 - 2015

    UR - http://ieeexplore.ieee.org.ezproxy.lib.monash.edu.au/stamp/stamp.jsp?tp=&arnumber=7280569

    U2 - 10.1109/IJCNN.2015.7280569

    DO - 10.1109/IJCNN.2015.7280569

    M3 - Conference Paper

    SN - 9781479919611

    SP - 2012

    EP - 2019

    BT - 2015 International Joint Conference on Neural Networks (IJCNN 2015)

    A2 - Choe, Yoonsuck

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - Piscataway NJ USA

    ER -

    Rashid MM, Gondal I, Kamruzzaman J. Condition monitoring through mining fault frequency from machine vibration data. In Choe Y, editor, 2015 International Joint Conference on Neural Networks (IJCNN 2015). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 2012 - 2019 https://doi.org/10.1109/IJCNN.2015.7280569