Determination Of Failure Probability Using Fault Tree Analysis: A Heavies Column System In Chemical Plant Case Study

Lias, Muhammad Hanif (2021) Determination Of Failure Probability Using Fault Tree Analysis: A Heavies Column System In Chemical Plant Case Study. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In petrochemical production plant, there were many mechanical equipment that required a proper maintenance but this action required lot of costs. Thus, a proper risk analysis and reliability techniques will help to ensure the reliability of the petrochemical production plant and reduced maintenance costs. Therefore, fault tree analysis was being implemented in heavies column system to identify the causes for the breakdown. Moreover, the objectives for this research to identify possible failure and construct fault tree analysis (FTA) for heavies column system. All possible failure that been identified, it defined as basic event for the fault tree. Then, the basic events were linked with the logic gate to explain how the breakdown occurred. Besides that, other objectives for this research to determine the failure probabilities for each cause. Therefore, the scope for this research was focused on the development and construction of fault tree and understanding the general process of heavies column system. So, the fault tree that been constructed able to identify all possible failure and detect critical equipment in heavies column system. Through development and evaluation of fault tree, the failure probabilities for root causes were calculated. As a result, the higher the failure probabilities for equipment indicated that the equipment will be failed within prediction time. As conclusions, the fault tree was able to identify possible failure in heavies column and the fault tree that been constructed can defined how the failure of each equipment affected to the breakdown of the system. Other than that, failure probabilities that been calculated able to show the behaviour and condition of the system. Through failure probabilities, the critical equipment had been identified and it needed a predictive maintenance to increase the reliability of the system.

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