RELIABILITY AND LIFE CYCLE SIMULATION OF SYSTEM COMPONENTS WITH TECHNOLOGICAL INHERITANCE MODEL

Technological Inheritance Parameters (coefficients) that best fit failure mode behaviors needs to be determined and made available, so that they can be used to simulate performance over extended periods. With the author’s mathematical model for the surface finish of hard coated cylindrical shaft, used in rotating equipment part or any other mathematical model of an equipment part, is possible to predict its future as well as determine it real-time operating data. Provided the part is treated, the same in the future as it was in the past. Technological Inheritance Model-based Simulation packages involve simulation engine that generates random effects in accordance with historic inheritance parameters over a specified system lifetime as well as from one operating data event to the other. It will mimic what will happen to the coated surface part in service, if its future were to remain the same as its past. Apart this, it is possible to transfer the surface quality characteristics from its initial to final operation with the help of technological inheritance model towards maximum achievable reliability. With this technique, the process of selecting maintenance and inspection intervals becomes a process of playing "what if with technological inheritance model based software used to compare the probabilistic effects of different reliability strategies". This of course will help to adjust the maintenance by bringing it to the most benefits for your business.
On this note, it will be worth while to carry out a quality and time line distribution before doing a technological inheritance model based failure/reliability analysis. The data collected at the different intervals and data events are used to calculate the reliability growth and degradation of components. Technological inheritance analysis is a means of identifying whether the failure mode was an early life failure, a randomly induced failure or due to wear-out and ageing. At the same time the reliability level at any point in time can be known. Technological inheritance parameters provides the owners, users and maintenance of equipment with a tool to know the failure history and real-time data of their operating plant and predict the behavior of components. The analysis is used to select effective equipment maintenance strategies and design out effects to reduce parts failure as well as maximize the reliability of component/system. It can be used for fitting equipment life data and used in the aviation industry to optimize maintenance intervention and select maintenance strategies.
Technological inheritance model can be used to mimic the behavior of a combination of other statistical distributions, which were each of limited use, by changing its shape. It represents all the zones of the bath tub and reliability curves by using technological inheritance coefficient for quality control, "a", and technological inheritance coefficient for process control "b", which must be optimal.
Where 0.1 < aflat < 0.9, implies random failures that are independent of time, where an old part is as good as a new part. Maintenance overhauls are not appropriate. Condition monitoring and inspection are strategies used to detect the onset of failure, and reduce the consequences of failure. This zone is affected by random incidents and accidents. It reflects poor operating procedures, poor risk management and poor materials selection at design.
At the zone, where 0 < afall < 0.1 implies early wear-out. You would not expect this type of failure within the design life. Failure mechanisms such as corrosion, erosion, low cycle fatigue and bearing failures fall in this range. Maintenance often involves a periodic rework or life extension task. The shape can be altered by better materials selection, production processes, growth/degradation management and good control of operating practices.
With zone at 0.9 < a-rise < 1 are wear-out or end of life failures. They should not appear in the design life. Age related failures includes stress corrosion, cracking, creep, high cycle fatigue and erosion. Appropriate maintenance is often renewal of the item with new ones.
A profile for an equipment is to have a negligible failure probability throughout its operating life followed by steep rise of "a" that predicts the replacement age is possible by integrating reliability, condition monitoring and maintenance strategy of manufacturing processes and operating equipment. Integrated reliability monitoring and maintenance strategy of component system is carried out with technological inheritance model-based software that is used to transfer of component positive desired quality from its initial to final operation of the manufacturing process and in turn into the equipment as well as remove its negative undesired quality towards maximum achievable reliability.

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