Open Access Open Access  Restricted Access Subscription or Fee Access

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



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.
Copyright © 2020 Praise Worthy Prize - All rights reserved.


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

Full Text:



W. S. Lee, D. L. Grosh,F. A. Tillman, C. H. Lie, Fault Tree Analysis, Methods, and Applications - A Review, IEEE transactions on Reliability, vol. r-34, no. 3,1985.

Xiang, Jiangwen, “ Automatic synthesis of automatic fault trees from synthesis model”, Secure Software Integration and Reliability Improvement (SSIRI), 2011 Fifth International Conference on June 2011:127-136.

Nutaro, James J., “The throughput, reliability, availability, maintainability (TRAM) methodology for predicting chemical plant production”, Reliability and Maintainability Symposium (RAMS), 2012:1-6.

Huang Xiao Tao, Huang Li Qun , “ The Research of information security risk assessment method based on fault tree” Reliability Engineering and System Safety 2008.

Allan RN, Billinton R. insightful discussions and the facilities extended to us for completing the task, Proceedings of the IEEE 2000; 88(2):140–62.

Kaliraj, S., Chandru, N., Wahi, A., A reliability framework of component based software system using Kal-Chan path selection algorithm, (2013) International Review on Computers and Software (IRECOS), 8 (2), pp. 605-612.

Vaurio, Jussi K, “Treatment of general dependencies in system fault and risk analysis” Reliability, IEEE Transaction on 2002, 278-287.

W. S. Lee, D. L. Grosh, F. A. Tillman, C. H. Lie, “Fault Tree Analysis, Methods, and Applications - A Review” IEEE transactions on reliability, vol. r-34, no. 3,1985.

Awosope COA, Akinbulire TO. A computer program for generating power- system load-point minimal paths. IEEE Transactions on Reliability 1991; 40(3):302–8.

Hongzhi Liu and Congcong Zhang, "Research on information engineering surveillance risk evaluation based on fault tree analysis," 2010 3rd International Conference on Computer Science and Information Technology, Chengdu, 2010, pp. 601-605.

Vries RC. An automated methodology for generating a fault tree. IEEE Transactions on Reliability 1990;39(1):76–86.

Hessian RT, Salter BB, Goodwin EF. Fault-tree analysis for system design, development, modification, and verification. IEEE Transactions on Reliability 1990;39(1):87–91.

Cˇepin M,Mavko B , “.A dynamic fault tree”. Reliability Engineering and System Safety 2002;75(1):83–91.

N. Karunanithi, Y. K. Malaiya and D. Whitley, "Prediction of software reliability using neural networks," Proceedings. 1991 International Symposium on Software Reliability Engineering, Austin, TX, USA, 1991, pp. 124-130.

N. Karunanithi, D. Whitley and Y. K. Malaiya, "Using neural networks in reliability prediction," in IEEE Software, vol. 9, no. 4, pp. 53-59, July 1992.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2021 Praise Worthy Prize