What is Predictive Maintenance?🧑‍🔧 👨‍🔧

Поделиться
HTML-код
  • Опубликовано: 22 авг 2024
  • ▶ C'mon over to realpars.com where you can learn PLC programming faster and easier than you ever thought possible!
    =============================
    What is Predictive Maintenance?
    We have three types of maintenance. Reactive, preventive, and predictive.
    Reactive maintenance is when you wait until the device fails and then you fix it. This causes your production line to stop and results in financial losses.
    To prevent this, you can use preventive maintenance. This is when you perform regular checks and maintenance before the device fails. But the challenge with preventive maintenance is, by performing the maintenance early, you waste device life that is still useable.
    With predictive maintenance, however, you can predict when the device fails and schedule maintenance right before that. By doing this you can minimize the device or machine downtime and maximize the lifetime.
    =============================
    Missed our most recent videos? Watch them here:
    realpars.com/h...
    realpars.com/p...
    realpars.com/s...
    =============================
    To stay up to date with our last videos, make sure to subscribe to this RUclips channel:
    bit.ly/realpars
    =============================
    Follow us on Facebook 👉 / therealpars
    Follow us on Twitter 👉 / realpars
    Follow us on LinkedIn 👉 / realpars
    Follow us on Instagram 👉 / realparsdotcom
    #RealPars #maintenance #Predictive_Maintenance

Комментарии • 35

  • @pereklund9172
    @pereklund9172 2 года назад +25

    I have worked as a maintenance technician many years.
    As good as it sound with "predictive maintenance" I can tell you that in real life it is not really an option.
    There are so many unknowns to consider, that its not possible to predict when something is going to fail.
    If a repair is done, how long will it hold, before it breaks again?
    Is it the same guy who does the maintenance? Is it the same operator who runs the machine?
    How about incoming parts to the machine? Are they identical month after month?
    As I said.. normally there is so many thing that can differ that it becomes almost impossible to predict.

    • @paweszpakowski1234
      @paweszpakowski1234 2 года назад +5

      Please don't overcomplicate things. Most of the time you can empirically estimate when something is going to need maintenance. It's like with timing belt in cad engine or breaks or bearings etc.

    • @Siendra
      @Siendra 2 года назад +4

      We're really only just getting to the point where predictive maintenance is actually feasible for most assets. The ubiquity of robust multivariable data on newer instruments and especially the growing availability of cheap and reasonably reliable IoT sensors means you can increasingly control for variables with more data. Predicting asset health is more about generally modeling the performance of the machine in question. This works better with continuous processes, obviously, but you can absolutely model and reliably predict the performance and general maintenance needs of everything from gas compressors down to fired appliances down to static appliances like heat exchangers.

    • @pereklund9172
      @pereklund9172 2 года назад +3

      @@paweszpakowski1234 yes, I agree. And that is when you put an intervall like 4000 hours or 6 months or something.
      I would argue that the besr solution isnt always to change something before it breaks. In some cases it is more economical to wait until it breaks and change it then.
      For instance if the part is really expensive and can be changed in 15 minutes.
      So.. sorry if I overcomplicate but in reality life is complicated..

    • @mattozx6rr
      @mattozx6rr 2 года назад +5

      Predictive maintenance is predicated by the collection of data. Such things as vibration analysis, amp draw, temperatures and so on can be trended giving realistic failure points in time. Not to the day or week but usually within a month. Such data collection is generally out of the scope of cost and time for many if not most small businesses. The gathering of data is also a waste of money if it is not utilized for predicting failures or even used at all. Most technicians are stuck with reactive maintenance as they do what they can to prevent a failure but the failure of equipment is inevitable. They may notify management but that is often the end of the forward movement. When the equipment finally fails it generally turns into a pile of overtime and a blame game. That is the life of a maintenance technician. We are the gaurdians at the gate yet when theres a threat we get ignored. When the gate collapses we also get blamed. Truely its a thankless job. I could go on but off the soap box I will step.

    • @s1ovac308
      @s1ovac308 2 года назад

      @@pereklund9172 Hello, Can you please give me advice or some good way for education this branch of work. I am young 20 years old student, which study in technical university for automation engineer, but we dont have any plc programming yet. I have already started to learn this stuff on the online courses, but I really want to know about your career! How did you studied to maintenance plc ?

  • @plexiglasscorn
    @plexiglasscorn 2 года назад +14

    Predictive maintenance is when oem knows when your plc is going to fail because they make a plc use up limited number of writes on your plc flash storage.

  • @samuelmason8370
    @samuelmason8370 2 года назад +1

    I just got a job as a scheduler/planner - now specifying plant data collection systems, work flows, and sometimes making prints for said scheduled items.
    what great timing! I would love to see more in this series- im working at a plant commissioned in 1888, and modern practices just came to us in 2017 with the change of CFO/COO - it would make our lives easier and I know a ton of people in the industry would be interested.
    Data collection isnt limited to engineering anymore- its changing maintenance and personnel management on all levels!

    • @realpars
      @realpars  2 года назад

      Congratulations on your new job! Glad to hear that you enjoyed this video! I will happily pass your comment on to our course developers as a topic suggesiton for future video courses.

  • @EriczZzric
    @EriczZzric 2 года назад +7

    Cool short, next one “How do you predict device failure”?

    • @realpars
      @realpars  2 года назад +2

      Hey!
      Thanks for your comment and your suggestion. I will pass this on to our course developers!
      Thanks for sharing and happy learning!

  • @RizwanKhan_99
    @RizwanKhan_99 2 года назад +8

    Great. How can we see complete video on this topic?

    • @realpars
      @realpars  2 года назад +4

      I will pass that on to our course developers! Happy learning!

    • @RizwanKhan_99
      @RizwanKhan_99 2 года назад +2

      @@realpars thankyou so much. Really loved how he explained the types. Made it look easy.❤

  • @bitebonumbere1426
    @bitebonumbere1426 2 года назад +1

    Complete video please 🙏Many thanks RealPars

  • @omarlambrechtomar5196
    @omarlambrechtomar5196 2 года назад +2

    So how do you predict your robot going bad or a conveyor busting up.or a motor belt tear.?.

    • @realpars
      @realpars  2 года назад +1

      Thanks for your comment, Omar! Great question, I will pass this on to our course developers for possible future video courses. Thanks for sharing and happy learning!

  • @sarasohrabi9673
    @sarasohrabi9673 2 года назад +1

    Concise and useful! Thank you.

  • @victoriusevangelista110
    @victoriusevangelista110 2 года назад +1

    Thanks for the information, please create more short content

    • @realpars
      @realpars  2 года назад

      Thanks for your positive feedback and support! :)

  • @momarmbow8265
    @momarmbow8265 2 года назад +1

    very informative thank you

    • @realpars
      @realpars  2 года назад

      Glad it was helpful!

  • @RizwanKhan_99
    @RizwanKhan_99 2 года назад

    Please do a complete lecture on this topics 🙏🏼🙏🏼🙏🏼🙏🏼🙏🏼

    • @realpars
      @realpars  2 года назад

      Thanks for your feedback!

  • @huplim
    @huplim 2 года назад

    Love the shorts

  • @4.0Solutions
    @4.0Solutions 2 года назад

    Well said!

  • @venkips
    @venkips 2 года назад

    Really a very good explanation...

    • @realpars
      @realpars  2 года назад

      Glad you think so!

  • @sanbatasanbata3591
    @sanbatasanbata3591 2 года назад

    Please make a video on selectivity.

    • @realpars
      @realpars  2 года назад

      Hi Amare!
      Thanks for your comment and your suggestion. I will pass this on to our course developers!
      Thanks for sharing and happy learning!

  • @mohsenparvizi6052
    @mohsenparvizi6052 Год назад

    Do you mean the CRM test before device failure?

    • @realpars
      @realpars  Год назад +1

      Hello mohesenparvizi6052,
      Thank you for your question!
      When you say CRM do you mean “contact resistance meter testing?” In our video, the predictive maintenance phase is the phase when the device is installed, commissioned, and up and running. Measurements like CRM, motor vibration testing, and thermal measurements are taken after the motor has been in operation for a predetermined time. These measurements are the set baseline. Therefore, a schedule should be set by the engineering group to perform these measurements again to determine the equipment’s worn-out status and predict when it might fail.
      Happy learning!

  • @nikolaydubina
    @nikolaydubina 2 года назад

    nice