By using the above data, Mean Time Between Failures and the Reliability for each year has been calculated as shown in the Table 2. As explained earlier the reliability has been calculated by using failure data method. Like Bath Tub curve we can put the data of Reliability for all the years in MINITAB software and after putting the data we got a curve which is shown in the figure - 3. If we observe closely we can mark the curve looks lika a Hat. So it could be known as Madhab’s Hat curve of Reliability.Like bath tub curve it has mainly three regions.
• The first region is early life period or infant stage where the reliabilty is in increasing trend just opposite to the bath tub curve.
• The …show more content…
One of the definitions may be as follows- “The failure is a deviation from the designed and assured performance level of any equipment which creates dissatisfaction to its user”.
We can find out some individual units fails relatively early, others will last until wear-out, and some will fail during the relatively long period typically called normal life. Failures during infant mortality are highly undesirable and are always caused by defects and mistakes like: material defects, design mistakes, manufacturing defects, etc. Normal life failures are normally considered to be random cases of "stress exceeding designed strength" due to abnormal operating conditions. Wear-out is a fact of life due to fatigue or depreciation of materials. After useful life period most of the equipments fails which is normal and acceptable for both the manufacturer and customer. A product's useful life is limited by its endurance design. A product manufacturer must assure that all specified materials are adequately designed to function through the intended product life. There are mainly two types of premature failures observed in any equipment, those …show more content…
• Progressive/fatigue failure – This type of failure occurs mainly due to improper or lack of maintenance of