Performance evaluation and design for variable threshold alarm systems through semi-Markov process

Aslansefat, Koorosh; Bahar Gogani, M.; Kabir, S.; Shoorehdeli, Mahdi Aliyari; Yari, Mostafa

Abstract

In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds of thresholding or filtration are applied to decrease alarm nuisance and improve performance indices, such as Averaged Alarm Delay (ADD), Missed Alarm and False Alarm Rates (MAR and FAR). Among threshold-based approaches, variable thresholding methods are well-known for reducing the alarm nuisance and improving the performance of the alarm system. However, the literature suffers from the lack of an appropriate method to assess performance parameters of Variable Threshold Alarm Systems (VTASs). This study introduces two types of variable thresholding and proposes a novel approach for performance assessment of VTASs using Priority-AND gate and semi-Markov process. Application of semi-Markov process allows the proposed approach to consider industrial measurements with non-Gaussian distributions. In addition, the paper provides a genetic algorithm based optimized design process for optimal parameter setting to improve performance indices. The effectiveness of the proposed approach is illustrated via three numerical examples and through a comparison with previous studies.

Citation

Aslansefat, K., Bahar Gogani, M., Kabir, S., Shoorehdeli, M. A., & Yari, M. (in press). Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions, https://doi.org/10.1016/j.isatra.2019.08.015

• Journal Article Type: Article
• Acceptance Date: Aug 4, 2019
• Online Publication Date: Aug 13, 2019
• Deposit Date: Aug 13, 2019
• Publicly Available Date: Aug 14, 2020
• Journal: ISA Transactions
• Print ISSN: 0019-0578
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1016/j.isatra.2019.08.015
• Keywords: Alarm management; Industrial alarm systems; Variable threshold alarm system; Performance assessment; Semi-Markov Process; Optimal thresholding
• Public URL: https://hull-repository.worktribe.com/output/2349323
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0019057819303519
• Additional Information: ©2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
• Contract Date: Aug 14, 2019