Using Data Science for Predictive Maintenance | RapidMiner

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  • เผยแพร่เมื่อ 30 ก.ค. 2024
  • Organizations often face the challenge of ensuring maximum availability of critical manufacturing systems, while simultaneously minimizing the cost of maintenance and repairs. Early identification of potential concerns helps organizations deploy limited resources more cost-effectively and maximize equipment uptime.
    Watch this webcast and product demonstration where we share how to leverage machine learning and data science on your available manufacturing or operations data to help you:
    Minimize maintenance costs
    Reduce unplanned downtime
    Avoid cost for failure recovery
    Learn more about RapidMiner and Machine Learning at the RapidMiner Academy: academy.rapidminer.com/
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ความคิดเห็น • 9

  • @mohsinkhalid2375
    @mohsinkhalid2375 ปีที่แล้ว

    Do you have any videos performing any significance test such as a t test?

  • @yadu3098
    @yadu3098 5 ปีที่แล้ว +1

    Thanks for the good presentation

  • @ahmedmukhtar3473
    @ahmedmukhtar3473 2 ปีที่แล้ว

    Thank you for great presentation, can I get the sensors data that used in the presentation for educational purposes

  • @topinambour124
    @topinambour124 3 ปีที่แล้ว

    Bonjour, pourriez vous m'envoyer le fichier contenant les données merci d'avance good job

  • @sofienelaoud9848
    @sofienelaoud9848 6 ปีที่แล้ว

    Hi, thanks for the video. Can u provide me with the file containing the sensors data ?

    • @akahn8311
      @akahn8311 4 ปีที่แล้ว

      hi did you manage to get the file ?

    • @akahn8311
      @akahn8311 4 ปีที่แล้ว

      need to install RapidMiner to access the file with sensor data

  • @akahn8311
    @akahn8311 4 ปีที่แล้ว

    hii could you please share the file containing sensors data, highly appreciate your help, thanks in advance

    • @akahn8311
      @akahn8311 4 ปีที่แล้ว

      I installed RapidMiner and found the data sample in there.