Hazard Rate and related concepts in Reliability Engineering

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  • เผยแพร่เมื่อ 5 ม.ค. 2025

ความคิดเห็น • 45

  • @dartagnandebatz3304
    @dartagnandebatz3304 4 ปีที่แล้ว +2

    Thank you so much for this clear in plain english explanation, it is simple , concise and direct, just one´s need to set hands on job!, congratulations and greetings from Mexico!

  • @parthjivani8488
    @parthjivani8488 ปีที่แล้ว +1

    Excellent explanation Sir! This is really helpful to understand the concept, thank you!

    • @uhemant1
      @uhemant1 ปีที่แล้ว

      Welcome! Appreciate your feedback!

  • @nintishia
    @nintishia 2 ปีที่แล้ว +1

    Thank you so much for this lucid exposition of the topic.

  • @prosimulate
    @prosimulate 4 ปีที่แล้ว +2

    This was fantastic. Really helpful!

  • @jenniferuller9852
    @jenniferuller9852 4 ปีที่แล้ว +2

    Very well explained, thank you so much!

  • @sridharakiri840
    @sridharakiri840 2 ปีที่แล้ว +2

    Nice Explanation, Sir Thank You

    • @uhemant1
      @uhemant1 2 ปีที่แล้ว

      My pleasure! Glad you liked it!

  • @modestliving9662
    @modestliving9662 4 ปีที่แล้ว

    Great job done Sir. It was very useful for me. Thanks

  • @AC-ll5ky
    @AC-ll5ky 4 ปีที่แล้ว +1

    Thx for excellent presentation!

  • @hodongjunior2826
    @hodongjunior2826 3 ปีที่แล้ว +1

    I love your videos!

  • @BenByboth
    @BenByboth 2 ปีที่แล้ว

    @1:55 mark, why is the h(t) not over the five months, as opposed to the 2 shown? 6/(5*1196)?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  2 ปีที่แล้ว

      Hi! Thanks for your keen interest. The hazard rate for the next TWO months is to be calculated. h(t) is per unit time per unit. So the demoninator will be (2x1196) and not (5x1196). Hope this is clear.

  • @MatheusSilva-dragon
    @MatheusSilva-dragon 3 ปีที่แล้ว +1

    THANK YOU THANK YOU THANK YOU THANK YOU THANK YOU THANK YOU THANK YOU THANK YOU!

  • @ashishshrivastava8864
    @ashishshrivastava8864 ปีที่แล้ว

    3:03 we have two hazard rates at 400, 0.00015 & 0.00017? Any logic to choose one of the two?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  ปีที่แล้ว

      There is only one hazard rate. 4/(50x470)=0.00017. Please do not divide by 500 as at 400, only 470 bulbs have survived.

  • @joseavalos9988
    @joseavalos9988 ปีที่แล้ว +1

    What about the ROCOF? how does it compare to the hazard rate?

    • @uhemant1
      @uhemant1 ปีที่แล้ว

      Thanks! Please watch my videos on HPP and NHPP, AMSAA model for this.

  • @anveshagarwal6958
    @anveshagarwal6958 4 ปีที่แล้ว +2

    Hello sir,
    Nicely presented.
    As i have never dealt with weibull distribution, I want to know that how shape parameter and scale parameter are determined?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  4 ปีที่แล้ว +1

      Thank you. Please watch our other videos on Weibull distribution. Link is here to one video:
      th-cam.com/video/dsuLVS2yQ4U/w-d-xo.html

  • @kdpr007
    @kdpr007 4 ปีที่แล้ว +1

    Nice video. Thnk you. Can you guide us how R(400)=095 has been arrived? I am struggling. kindly help

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  4 ปีที่แล้ว +2

      R(400) is actually 0.94 (Time 6:20 in video). As you note, 30 bulbs out of 500 have failed by 400 hours . This means 470 survived. Thus reliability is 470/500=0.94. Hope this is clear.

  • @TheSanthoshteja
    @TheSanthoshteja 4 ปีที่แล้ว

    Hi Hemanth sir, this Santhosh.Can you remember me, i am the person who messaged you via LinkedIn earlier.Today luckily i studied about hazard function.Even you thought the same with more clear understanding.

  • @TheSanthoshteja
    @TheSanthoshteja 4 ปีที่แล้ว

    Sir actually in weibull plotting we will take characteristic life at 63.2% , why do we have to consider at that point.I know if lambda =t then e power -1 gives you 0.362 and 1- of this is 0.632 but is there anything to consider at 63.2%>>>>?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  4 ปีที่แล้ว

      Good question. At chracteristic life, reliability is 0.362 as mentioned by you. This is purely a mathematical number and does not signify anything else in my opinion.

  • @prakashp6168
    @prakashp6168 4 ปีที่แล้ว

    Hi Hemant Sir, This is prakash Pawar from Ashok Leyland, Sir I have a data for last one year which shows the scoring defects in panel at certain cumulative number. Weather weibull analysis will help me to predict the exact cycle of defect (scoring)occurenece, which will help mw to take action before it reoccure next time.

    • @uhemant1
      @uhemant1 4 ปีที่แล้ว

      I need to understand more before I make my recommendation.

    • @prakashp6168
      @prakashp6168 4 ปีที่แล้ว

      Sir, This id the data of failure of perticular tool for the defect Scoring
      Scoring data collected for one year with no of strokes produced cumulative.
      Also frequency of failure on that day also captured.
      How i can predict that whwn next failure is going to happen by using weig bull.
      Data sheet for your reference sent on e mail

  • @hima_chatna4508
    @hima_chatna4508 4 ปีที่แล้ว

    Add more videos sirrr... related to reliability...if I have mttb in hours obtained from datasheet then how to calculate reliability using mttb

  • @mohamadfaizal6332
    @mohamadfaizal6332 3 ปีที่แล้ว +1

    Instantaneous Hazard rate at 450 hrs is only 0.00017. In your question you have mentioned hazard rate at 400 hrs 0.00017 which is wrong..

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  3 ปีที่แล้ว

      Let me check. I am under Covid isolation. Will respond as soon as possible!

    • @weijiali8103
      @weijiali8103 2 ปีที่แล้ว

      Yes! I have the same question regarding this

  • @prakashp6168
    @prakashp6168 4 ปีที่แล้ว

    weather this can be used to predict the failure based on past failure data - as a predictive maintenace of press shop dies.(tools)

    • @uhemant1
      @uhemant1 4 ปีที่แล้ว

      You need to use Life Data Analysis. Hazard rate is a foundation concept.