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Reliability Evaluation and Failure Rate Prediction of Ilmenite Fluidized Bed Dryer at IREL, Chavara

J. Abdul Jaleel(1*), Minchu Vijayan(2)

(1) TKM College of Engineering, University of Kerala, India
(2) TKM College of Engineering, India
(*) Corresponding author


DOI: https://doi.org/10.15866/irecos.v15i1.19316

Abstract


In industries the reliability engineering plays a vital role in process availability, safety and probability of failure components. So this paper is based on the reliability analysis of a process industry. Reliability is the probability that a device continues to perform a particular function over a particular period of time and under stated conditions. Here the plant at Indian Rare Earths Limited is chosen for reliability evaluation. The technique used for the reliability evaluation is fault tree analysis. The approach is based on Fault Tree Analysis (FTA), which is a technique used to obtain the probability of occurrence of an undesired event. Open FTA is the software, used for the Fault tree analysis. This paper also describes the Reliability and Failure rate predictions using Artificial Neural Networks. The working environment used for ANN is Neural LAB.
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Keywords


Reliability Engineering; Availability; Open FTA; Fault Tree Analysis; Artificial Neural Network (ANN); Neural LAB

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References


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