Identifying Condition Indicators | Predictive Maintenance

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  • Опубликовано: 14 янв 2019
  • This video explains different maintenance strategies and walks you through a workflow for developing a predictive maintenance algorithm.
    Predictive maintenance lets you find the optimum time to schedule maintenance by estimating time to failure. It also pinpoints problems in your machinery and helps you identify the parts that need to be fixed. Using predictive maintenance, you can minimize downtime and maximize equipment lifetime.
    This video uses a triplex pump example to walk you through the predictive maintenance algorithm steps. To develop an algorithm, you need a large set of sensor data collected under different operating conditions. In cases, where sensor data is not enough, you can use simulation data that is representative of failures by creating a model of your machine and simulating faulty operating conditions. For more information on generating failure data using Simulink®, please check out the links given below.
    Learn about different maintenance strategies and predictive maintenance workflow:
    - MATLAB and Simulink for Predictive Maintenance: bit.ly/2Tp2yLq
    - Designing Algorithms for Condition Monitoring and Predictive Maintenance: bit.ly/2GsiGae
    - Using Simulink to Generate Fault Data: bit.ly/2Gnb7Bw
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Комментарии • 13

  • @mayroncardoso6281
    @mayroncardoso6281 2 года назад +9

    this type of analysis is what I've been looking for since college. Thank you!

  • @letsplaionline
    @letsplaionline 3 года назад +1

    Ağzınıza sağlık hocam 😊

  • @Bgkim1113
    @Bgkim1113 2 года назад +1

    While watching your video, I have more dependency on Mathwork's value. good job and love to you

  • @ivandariogongora45
    @ivandariogongora45 5 лет назад +1

    Matlab la mejor herramienta del Ingeniero.

  • @user-jj3we9jv9i
    @user-jj3we9jv9i Месяц назад

    I love you!

  • @abdulrazackkizhakkumparamb3052
    @abdulrazackkizhakkumparamb3052 4 года назад +2

    What pressure, temperature and flow sensor are used for getting data in this example.

  • @naviddavanikabir
    @naviddavanikabir 4 года назад +1

    what machine learning or deep learning algorithms are most relevant in predictive maintenance, like for mechanical machinery? I want to focus on them.
    thank you in advance.

  • @runningmanjcl
    @runningmanjcl 4 года назад +2

    Just curious how was the noise and the offset removed from data?

  • @kufresamuel3919
    @kufresamuel3919 2 года назад

    What are the exact data needed for PdM. I have just the maintenance operations data set (Categorical), I do not have the telemetric or IoT sensor data

  • @manelbayarassou9453
    @manelbayarassou9453 2 года назад

    Hi, i can't understand how to separate plots , if there is an other way or manner please

  • @khayammirza9823
    @khayammirza9823 5 лет назад +4

    Hi, Thanks for this interesting information. Please upload a video with a example of machine learning model in matlab e.g for some medical device.. would be very grateful.

  • @AmmarNAbbas
    @AmmarNAbbas 2 года назад

    Is this dataset publicly availbale?

  • @soufianattar4554
    @soufianattar4554 5 лет назад +1

    i love you