TY  - JOUR
T1  - Reliability Assesment of Mechanical Component under Loads of Extreme Fatigue Life Load
AU - Yusuff, Mohd Asri AU - Sudin, Mohd Nizam AU - Azrulhisham, Engku Ahmad AU - Wahab, Dzuraidah Abd AU - Abdullah, Shahrum 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 10
SP  - 2122
EP  - 2125
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.2122.2125
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.2122.2125
KW  - Reliability
KW  -generalized extreme value
KW  -hydro power plant
KW  -statistical
KW  -density
AB  - Failure of a component that due to extreme load events such as strong shock can affect the overall quality and reliability of the mechanical component groups. As such, the study needs to be done to draw the behavior of failure data using the fatigue life and reliability characteristics of extreme fatigue life failure statistical approach. This research involves in testing the fatigue life and cyclic strain fatigue life data generation using Monte Carlo simulation based on the parameters of probabilistic stress cycle curve and assesses the suitability of the life distribution for the reliability. An extreme fatigue life can be seen through a probability density function, cumulative distribution function and through reliabilities obtained. The contribution of this study is to introduce generalized extreme value distribution applications in the mechanical domain where overall comparisons found that the method using the Generalized Extreme Value (GEV) distribution is more flexible and satisfied the given failure of extreme life curve. This methodology is also expected able to predict the reliability and performance of mechanical components such as turbines in hydro power plant.
ER  -